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AWS Certified Solutions Architect - Professional - Exam Simulator

SAP-C02

Elevate your career with the AWS Certified Solutions Architect - Professional Exam Simulator. Get ready to ace the most popular Professional AWS exam with our realistic practice exams. Assess your readiness, boost your confidence, and ensure your success.

Questions update: Jun 06 2024

Questions count: 8203

Example questions

Domains: 4

Tasks: 20

Services: 154

Difficulty

The AWS Certified Solutions Architect - Professional (SAP-C02) exam is considered one of the most difficult of all AWS certification exams.

The difficulty of the exam stems from several key factors. First, the breadth and depth of knowledge required are substantial. You must have a deep understanding of a wide range of AWS services, including, but not limited to, compute, storage, databases, networking, security, and application services. Additionally, you need to understand how these services integrate to form scalable, reliable, and cost-effective solutions.

 

Passing the exam requires a deep understanding of AWS best practices for architectural design. This includes knowledge of security, compliance, and governance as it pertains to AWS architectures. You need to be proficient in defining and designing architectures that adhere to AWS’s Well-Architected Framework, ensuring operational excellence, security, reliability, performance efficiency, and cost optimization.

 

Second, the exam emphasizes real-world scenarios and complex problem-solving. It tests your ability to design multi-tier applications, evaluate and recommend architectures for performance, security, and cost, and automate processes using AWS services. It demands a strong understanding of AWS architecture principles, service capabilities, and the ability to make trade-offs in design choices.

You must demonstrate your ability to design and deploy dynamically scalable, highly available, fault-tolerant, and reliable applications on AWS. This includes selecting appropriate AWS services to design and deploy applications based on specific requirements, migrating complex multi-tier applications to AWS, and implementing cost-control strategies.

 

Preparation for the exam requires extensive study. Many candidates spend months preparing, using a variety of resources such as AWS whitepapers, online courses, practice exams, and hands-on labs to gain the necessary knowledge and experience. However, doing practice exams with the AWS Exam Simulator and its premium features like repetitions and custom scope is often sufficient to pass this exam.

How AWS Exam Simulator works

The Simulator generates on-demand unique practice exam question sets fully compatible with the selected AWS Official Certificate Exam.

The exam structure, difficulty requirements, domains, and tasks are all included.

Rich features not only provide you with the same environment as your real online exam but also help you learn and pass AWS Certified Solutions Architect - Professional - SAP-C02 with ease, without lengthy courses and video lectures.

See all features - refer to the detailed description of AWS Exam Simulator description.

Exam Mode Practice Mode
Questions count751 - 75
Limited exam timeYesAn option
Time limit180 minutes10 - 300 minutes
Exam scope4 domains with appropriate questions ratio Specify domains with appropriate questions ratio
Correct answersAfter exam submissionAfter exam submission or after question answer
Questions typesMix of single and multiple correct answersSingle, Multiple or Both
Question tipNeverAn option
Reveal question domainAfter exam submissionAfter exam submission or during the exam
Scoring15 from 75 questions do not count towards the resultOfficial AWS Method or mathematical mean

Exam Scope

The Practice Exam Simulator questions sets are fully compatible with the official exam scope and covers all concepts, services, domains and tasks specified in the official exam guide.

AWS Certified Solutions Architect - Professional - SAP-C02 - official exam guide

For the AWS Certified Solutions Architect - Professional - SAP-C02 exam, the questions are categorized into one of 4 domains: Design Solutions for Organizational Complexity, Design for New Solutions, Continuous Improvement for Existing Solutions, Accelerate Workload Migration and Modernization, which are further divided into 20 tasks.

AWS structures the questions in this way to help learners better understand exam requirements and focus more effectively on domains and tasks they find challenging.

This approach aids in learning and validating preparedness before the actual exam. With the Simulator, you can customize the exam scope by concentrating on specific domains.

Exam Domains and Tasks - example questions

Explore the domains and tasks of AWS Certified Solutions Architect - Professional - SAP-C02 exam, along with example questions set.

Question

Task 1.1 Architect network connectivity strategies

Your company has deployed a multi-tier application in AWS where the web tier is fronted by an AWS Network Load Balancer (NLB). The application has been performing as expected until recently, when users began experiencing intermittent connectivity issues. After reviewing CloudWatch metrics for the EC2 instances and the NLB, no evident issues were found. The instances are healthy and the NLB appears to be configured correctly. However, some users are consistently being disconnected or are facing high latency when trying to access the application. As a Solutions Architect, you need to troubleshoot the problem using AWS tools. What should you do next to identify the cause of the traffic flow issues?

select single answer

Explanation

Correct because VPC Flow Logs allow you to capture information about the IP traffic going to and from network interfaces in your VPC. By enabling Flow Logs for the ENIs of the NLB, you can analyze the traffic data to troubleshoot the connectivity and latency issues.

Explanation

Incorrect because scaling the EC2 instances doesn't address the root cause of intermittent connectivity and high latency, which seems unrelated to the capacity of the current instances, as CloudWatch metrics did not indicate resource saturation.

Explanation

Incorrect because changing the type of load balancer does not address the problem of investigating intermittent connectivity issues. Without understanding the underlying cause, switching the load balancer type is not justified and may not resolve the issue.

Explanation

Incorrect because the issue is intermittent and specific to certain users, which suggests that it is not a problem with the security group rules blocking traffic, as that would affect all users consistently.

Question

Task 1.2 Prescribe security controls

As the lead architect for a global e-commerce platform, you decide to streamline the customer experience by allowing users to log in using their existing social media accounts. To securely integrate with various third-party identity providers, you plan to implement an authentication protocol. Your top requirement is that the e-commerce system should be able to obtain access to user resources on the social media platforms without gaining access to users' passwords. Which of the following options would be the best approach to meet this requirement?

select single answer

Explanation

OAuth 2.0 is the correct answer because it is an authorization framework that allows a third-party application to obtain limited access to an HTTP service, either on behalf of a resource owner or by allowing the third-party application to obtain access on its own behalf. OAuth doesn't share password data but instead uses authorization tokens to prove an identity between consumers and service providers.

Explanation

HTTP Basic Authentication is not suited for this scenario as it requires the application to handle user passwords directly, which goes against the requirement to not access users' passwords.

Explanation

SAML 2.0 is primarily for federated authentication, not authorization, and it is generally used in enterprise scenarios for single sign-on (SSO). While it can interact with third-party providers, it's not mainly designed to delegate access to user resources without sharing passwords in the way OAuth does.

Explanation

While OpenID Connect is built on top of OAuth 2.0 and can be used for authentication, not using OAuth 2.0 or a similar authorization framework would not fulfill the requirement of accessing user resources without gaining access to users' passwords.

Question

Task 1.3 Design reliable and resilient architectures

You are an AWS Solutions Architect working for an international media company that has recently seen a major spike in traffic due to the global popularity of their new streaming service. To ensure seamless global content delivery, you've been tasked with architecting a solution that can scale effectively to handle millions of concurrent users while maintaining low latency and high transfer speeds. You've decided to integrate Amazon CloudFront into your architecture for its content delivery network capabilities. Given the need to design a reliable and resilient architecture that scales appropriately for this use case, which of the following strategies would be the most suitable to optimize the architecture considering the scale-up and scale-out options provided by AWS?

select single answer

Explanation

This solution takes advantage of CloudFront's cache at edge locations closer to users to reduce latency, while the origin failover between multiple Amazon S3 buckets across different regions, managed with Route 53 health checks, provides a resilient and reliable architecture that scales out rather than depending on a single scale-up resource.

Explanation

Having separate CloudFront distributions for different regions adds unnecessary complexity and can lead to increased latency, plus manual intervention does not provide the high availability and automatic scaling required for a resilient architecture.

Explanation

Scaling an EC2 instance vertically (scale-up) is not an optimal solution for handling millions of concurrent users and does not provide fault tolerance or high availability. It's also less flexible and could lead to single points of failure or downtime during scaling activities.

Explanation

Bypassing CloudFront ignores the benefits of a CDN, such as reducing latency and offloading traffic from the origin server. Additionally, ELBs are designed to work in conjunction with Auto Scaling groups and CloudFront, not as a standalone scaling solution, and can't be 'scaled up' as they are inherently scalable.

Question

Task 1.4 Design a multi-account AWS environment

Your company, GlobalTech, is adopting AWS at scale and plans to employ a multi-account strategy to segment different workloads appropriately. The Security team at GlobalTech needs to ensure centralized management of resources across all AWS accounts for improved governance. They have proposed the use of AWS Resource Access Manager to share AWS Transit Gateway, subnets, and license configurations across multiple AWS accounts within the organization. As a Solutions Architect, you need to evaluate if AWS RAM is the most appropriate service for this use case considering GlobalTech's organizational requirements. Which of the following statements best justifies the use of AWS RAM for GlobalTech's multi-account strategy?

select single answer

Explanation

The correct answer is based on the primary function of AWS Resource Access Manager which is to share resources such as AWS Transit Gateway, subnets, and license configurations across different AWS accounts, facilitating centralized governance which meets GlobalTech's requirement.

Explanation

This answer is incorrect; AWS RAM is designed for sharing resources with accounts within your organization and does support sharing with external accounts, but under controlled and secure circumstances.

Explanation

This is incorrect because AWS RAM does support the sharing of resources such as AWS Transit Gateway and subnets, which makes it suitable for GlobalTech's scenario.

Explanation

This statement is incorrect because AWS RAM actually aids in centralized management, allowing you to more easily manage shared resources across multiple AWS accounts.

Question

Task 1.5 Determine cost optimization and visibility strategies

Your company is running multiple critical workloads on AWS, and you have been tasked with optimizing costs while ensuring thorough monitoring of compliance and governance. The company's current setup utilizes AWS Cost Explorer for tracking monthly expenses and making projections. As part of strengthening the governance aspect, you decide to integrate AWS CloudTrail logs to track changes and ensure better visibility of user and resource activity. Keeping in mind the need for cost optimization and visibility, which of the following strategies should you implement to effectively track both the money spent on AWS services and the associated CloudTrail logs, without incurring unnecessary costs?

select single answer

Explanation

Enabling CloudTrail with a multi-region trail setup allows for comprehensive event logging across all regions, which enhances visibility and compliance. Storing logs in S3 with a lifecycle policy to transition them to Glacier after 90 days is a cost-effective strategy for long-term storage since Glacier is a cheaper storage option for data that does not require immediate retrieval.

Explanation

The AWS Pricing Calculator helps estimate costs but does not provide action-based recommendations such as deletion policies. Moreover, deleting CloudTrail logs after only 30 days might not comply with the company's governance and regulatory requirements for log retention.

Explanation

Although AWS Trusted Advisor provides recommendations on cost optimization, it does not have the capability to automatically change the storage class of logs stored in S3. Lifecycle policies in S3 manage the automation of transitioning objects to different storage classes, not Trusted Advisor.

Explanation

While implementing AWS Budgets can help you track and manage costs associated with CloudTrail logs storage, avoiding setting up lifecycle policies negates the potential savings from moving logs to a less expensive storage solution over time. Lifecycle policies can be designed to retain logs as per governance requirements and still save costs.

Question

Task 2.1 Design a deployment strategy to meet business requirements

Your company has several AWS accounts that are used by different development teams for various projects. To streamline billing and compliance, you plan to reorganize these accounts into a single organization using AWS Organizations. One of your primary goals is to enforce service control policies (SCPs) to limit the services that each team can use, ensuring adherence to the company's security and compliance standards. You also want to upgrade the services and features within this new setup to the latest ones that comply with your policies. While designing a deployment strategy to meet these business requirements, which of the following steps should you take?

select single answer

Explanation

This answer is correct because it precisely outlines the use of AWS Organizations to consolidate multiple accounts under a centrally managed hierarchy, which allows for effective governance and easier implementation of service control policies.

Explanation

This is incorrect because it ignores the use of AWS Organizations for enforcing policies and does not leverage organizational units or SCPs for control, making the process inefficient and prone to error.

Explanation

This is incorrect because while you can use cross-account roles for some level of central management, they do not substitute for the hierarchical control and policy application capabilities of AWS Organizations.

Explanation

This is incorrect because merging all accounts into a single master account does not utilize AWS Organizations and fails to retain the security and operational benefits of account level isolation.

Question

Task 2.2 Design a solution to ensure business continuity

A company running its financial application on AWS relies heavily on the ability to maintain business continuity, even in the event of a regional disruption. They want to implement a cost-effective disaster recovery strategy with a Recovery Time Objective (RTO) of a few hours. To achieve this, they are considering using the Pilot Light approach. As the AWS Certified Solutions Architect - Professional, how would you design an architecture to meet these requirements using the Pilot Light concept?

select single answer

Explanation

The Pilot Light approach involves maintaining a minimal version of an environment, which is always on, typically including the database server. Data is replicated to this server constantly, and upon a failure, the rest of the environment can be quickly brought to scale. This answer correctly identifies the need for continuous data replication and the quick ability to launch full-scale resources when necessary.

Explanation

Active-active architecture is a highly available design but comes with additional complexity and cost as it requires running full production environments in multiple regions simultaneously. This goes beyond the scope of a Pilot Light approach, which is intended to be a cost-effective minimal footprint solution.

Explanation

This answer misunderstands the Pilot Light concept. The Pilot Light scenario involves having resources already running in a secondary region, not scaling from zero in the primary region. Auto Scaling with a minimum instance count of zero would result in no capability to quickly recover in a secondary region.

Explanation

While this could create global redundancy, it is not cost-effective as it involves running full production clones in multiple regions. This doesn't align with the cost-effective requirement of the Pilot Light strategy, which involves minimal resources running until they are needed.

Question

Task 2.3 Determine security controls based on requirements

A company has recently deployed a serverless architecture on AWS to process confidential data. As a solutions architect, you designed a system where AWS Lambda functions, residing within a private VPC, interact with Amazon S3 to store processed data. You are tasked with ensuring that the traffic from the Lambda functions to S3 does not traverse the public internet for security reasons. You've decided to implement VPC endpoints for this purpose. Additionally, you have to make sure that traffic between subnets inside VPC is restricted according to the company's security requirements. Which of the following options should you configure to fulfill these requirements while allowing the necessary communication between the VPC, the Lambda functions, and S3?

select single answer

Explanation

Gateway VPC endpoints enable private connections between your VPC and supported AWS services, like Amazon S3, without requiring access over the internet. NACLs are stateless access control lists that can be used to control the traffic in and out of the subnets within your VPC, including traffic to the VPC endpoint.

Explanation

An Interface VPC Endpoint would enable connection to services such as S3 over the AWS PrivateLink while keeping traffic private, but completely denying all outbound traffic using the NACLs would prevent the Lambda functions from reaching S3, even over the PrivateLink.

Explanation

While a NAT Gateway would allow the Lambda functions to access the internet, it doesn't satisfy the security requirement to keep traffic off the public internet when accessing S3. Additionally, allowing all outbound traffic does not conform to the tight security controls generally needed for handling confidential data.

Explanation

This setup would not satisfy the requirement as it would allow the Lambda functions to potentially access S3 over the public internet through the Internet Gateway. Moreover, denying all traffic between subnets would restrict necessary internal communication required for the application to function properly.

Question

Task 2.4 Design a strategy to meet reliability requirements

Your company's application is currently deployed in the AWS us-east-1 region and relies on a DynamoDB table for its data storage needs. Due to recent business expansion, your application will now serve users globally, and you are tasked with ensuring high availability and minimal latency for all users. The application has a write-heavy workload and requires strong consistency across all regions. Which of the following approaches should you take to meet these requirements using AWS managed services?

select single answer

Explanation

Amazon DynamoDB Global Tables is the correct answer because it provides full, native support for multi-region, fully replicated, high-performance database tables, and ensures that data is available and consistent no matter which region users access from, satisfying the need for strong consistency and high availability for a global user base.

Explanation

While RDS Multi-AZ provides high availability within a single region, this answer is incorrect because the question specifically refers to a DynamoDB workload. RDS also does not inherently provide a multi-region, fully replicated, strongly consistent database solution similar to DynamoDB Global Tables.

Explanation

This approach is not recommended because it involves significant overhead for manual setup and maintenance of synchronization processes, does not ensure strong consistency, and is more error-prone compared to using built-in features of DynamoDB Global Tables.

Explanation

This answer is incorrect because Amazon ElastiCache is primarily used for caching to reduce read loads and does not address the requirement for a write-heavy workload, nor does it provide cross-region replication or data consistency features.

Question

Task 2.5 Design a solution to meet performance objectives

A company is building a new web application on AWS, which will experience unpredictable traffic patterns. The Solutions Architect needs to ensure the infrastructure dynamically scales to meet user demand while optimizing costs. The application stack includes an Application Load Balancer (ALB), a fleet of Amazon EC2 instances for the web layer, and an Amazon RDS database. Which of the following strategies should the Architect implement to align with the designed performance objectives and cost-efficiency?

select single answer

Explanation

AWS Auto Scaling can automatically adjust the number of EC2 instances in response to the traffic demands experienced by the ALB, thus ensuring performance objectives are met without over-provisioning resources. RDS Auto Scaling can automatically adjust the storage size based on the workload, ensuring the database layer also remains cost-effective and performant.

Explanation

Manual adjustments of the EC2 fleet do not provide the necessary real-time scalability, and while RDS read replicas can distribute the read load, they do not provide automatic scaling of the write capacity or underlying storage.

Explanation

Scheduled scaling actions can help manage predictable load patterns, but they are not suitable for unpredictable traffic as they would not scale the infrastructure dynamically and in real-time, leading to either performance degradation or cost inefficiency.

Explanation

While this ensures high availability and performance during peak loads, it lacks the ability to dynamically scale in response to changing traffic, leading to potential over-provisioning and higher costs.

Question

Task 2.6 Determine a cost optimization strategy to meet solution goals and objectives

A media company is planning to move their image processing workloads to AWS. Each day they need to process hundreds of gigabytes of image data, which is currently stored on-premises. The CTO wants to ensure efficient data transfer to the cloud while considering cost optimizations. The image data will be accessed and processed by multiple EC2 instances concurrently in a compute-intensive workload. The CTO is considering using Amazon Elastic File System (EFS) due to its scalability and elastic nature. Which of the following would be the most cost-effective method for moving existing image data to EFS and subsequent regular updates?

select single answer

Explanation

Direct Connect provides a high-speed dedicated network connection for transferring large amounts of data, which can be more cost-effective for initial bulk data uploads. AWS DataSync is an efficient way to handle ongoing data transfer and synchronization tasks, while managing costs when transferring data to EFS after the initial bulk transfer.

Explanation

Transferring data over the internet using SFTP is not only slower but might also incur higher data transfer costs compared to services like AWS DataSync or Direct Connect, especially for transferring hundreds of gigabytes daily.

Explanation

While AWS Snowball is a good option for large-scale data transfers, it's not ideal for frequent updates due to the logistical overhead and the fact that it's more suited for one-time bulk data migrations.

Explanation

EBS snapshots are for backing up EBS volumes, not for transferring data to EFS. This method also does not take advantage of EFS’s features and would likely result in higher costs and more complexity.

Question

Task 3.1 Determine a strategy to improve overall operational excellence

You are working as a Solutions Architect for a tech company that is using AWS infrastructure to run its web applications. The company's applications are packaged and deployed using AWS Elastic Beanstalk due to its ease of use and simplicity for developers unfamiliar with AWS. However, your team is now considering the need for configuring a more sophisticated system of configuration management automation that can handle not only application deployment but also configuration changes, resource provisioning, and software updates across multiple environments. Your responsibility involves ensuring that the system can scale, manage changes with minimal downtime, and improve the overall operational excellence. Which AWS solution would you recommend to enable the necessary level of configuration management automation and integrate seamlessly with AWS Elastic Beanstalk?

select single answer

Explanation

AWS OpsWorks is an application management service that provides an event-driven approach to manage applications and servers. It can be used with AWS Elastic Beanstalk to enable configuration management automation, allowing for consistent deployment and operation of applications while managing resources effectively. It supports Chef and Puppet, which are automation platforms that use code to automate the configuration and management of servers.

Explanation

AWS CodeCommit is a source control service that hosts Git-based repositories. Although it is an important part of the overall DevOps workflow, it's not a configuration management automation tool and does not provide the necessary features to meet the company's needs as described.

Explanation

While AWS CloudFormation is used to model and set up AWS resources with templates and infrastructure as code, it is less focused on the real-time operational tasks like configuration management that are part of ongoing operational excellence in a deployment managed by AWS Elastic Beanstalk.

Explanation

Amazon EC2 Auto Scaling helps maintain application availability by scaling EC2 instances automatically. However, it does not provide configuration management automation, but rather focuses on scaling and performance.

Question

Task 3.2 Determine a strategy to improve security

Your company has a web application hosted on AWS with an Auto Scaling group of EC2 instances behind an Elastic Load Balancer (ELB). As the Solutions Architect, you are tasked with designing and implementing a patch and update process that causes minimum disruption to service and maintains high availability. How should you design this process to ensure instances are patched without affecting user experience?

select single answer

Explanation

Connection draining allows the patched instances to complete in-flight requests while new connections are transferred to other instances, ensuring service continuity and the ability to test patches before full roll-out.

Explanation

Removing all instances simultaneously for patching would cause service disruption, violating the high availability requirement.

Explanation

Manually patching instances is error-prone, causes service disruption, and is not scalable. It does not satisfy the requirement of minimal disruption.

Explanation

Stopping ELB and patching all instances at once would cause downtime for the application, which is against the high-availability requirement.

Question

Task 3.3 Determine a strategy to improve performance

A company is using a self-managed Apache Kafka cluster on Amazon EC2 instances to handle real-time streaming data. The company has recently noticed performance bottlenecks during peak traffic times, which has led to delayed data processing and increased latency. The DevOps team is considering whether to scale up the EC2 instances or migrate to a managed service to address these issues. As a Solutions Architect, you recommend evaluating Amazon Managed Streaming for Apache Kafka (MSK) as a solution. Which of the following reasons makes Amazon MSK a suitable option for improving the performance of the company's streaming data architecture?

select single answer

Explanation

This answer is correct as it captures the essence of managed services — reducing the operational overhead. Amazon MSK is a managed service that handles the heavy lifting of Kafka cluster management, ensuring that the infrastructure can scale to meet demand and maintain performance. It eliminates the need for manual intervention in cluster configuration, software patching, and other maintenance tasks.

Explanation

This answer is incorrect because Amazon MSK is not a third-party service, but an AWS managed service. Furthermore, while EC2 instances may sometimes be more cost-effective, the operational costs and time spent maintaining a self-managed solution are often higher compared to using a managed service.

Explanation

This answer is incorrect because while an in-memory caching layer could improve performance, it doesn't address the scalability, management, and operational overhead that Amazon MSK is designed to handle.

Explanation

This answer is incorrect because simply being newer does not guarantee better performance. The improved performance would come from managed service capabilities rather than just being a more recent technology.

Question

Task 3.4 Determine a strategy to improve reliability

A company hosts a web application behind an Application Load Balancer (ALB), which triggers AWS Lambda functions for various tasks. After a recent review, the company's Solutions Architect observes that during peak times, some Lambda functions are failing intermittently, reporting 'ThrottlingException' errors due to reaching the maximum concurrent execution limit. The company wants to ensure the reliability of its application without incurring unnecessary costs. Which of the following strategies should the Solutions Architect recommend to improve the reliability of the Lambda-invoked architecture?

select single answer

Explanation

Assigning dedicated concurrency ensures that critical functions have a reserved amount of concurrent executions. This can help prevent throttling and improve reliability during times of peak demand without incurring the cost of unnecessary over-provisioning.

Explanation

Moving Lambda functions to EC2 instances would drastically change the application architecture and may not be cost-effective. Furthermore, it eliminates the benefits of serverless computing and introduces the need for capacity management.

Explanation

AWS Lambda has built-in account level concurrency limits for safety and cost control purposes. Users can request a limit increase but cannot remove limits completely. Attempting to do so would not be a valid or effective solution.

Explanation

While increasing the memory allocation may improve the function's execution time and, to some extent, the throughput, it does not directly resolve the throttling issue caused by reaching the account level concurrency limits.

Question

Task 3.5 Identify opportunities for cost optimizations

A company has deployed an online gaming application with a global user base on AWS, utilizing Amazon Elasticache to maintain high-speed read access to gaming leaderboards and session states. Over time, the company notices through their AWS Cost and Usage Reports that the costs associated with Amazon Elasticache instances are significantly higher than anticipated. Further analysis indicates that the memory utilization across their Elasticache clusters rarely exceeds 25%, suggesting that the provisioned resources are overprovisioned. As an AWS Certified Solutions Architect - Professional, you are asked to identify a cost optimization strategy for the underutilized Amazon Elasticache resources. Which of the following recommendations would most effectively optimize costs?

select single answer

Explanation

Opting for Elasticache Reserved Nodes for the consistent part of the workload can provide significant cost savings over on-demand pricing, and using Autoscaling ensures that additional capacity is available when needed, optimizing costs in line with actual utilization.

Explanation

While upgrading to the latest node types can offer performance benefits and potential cost savings, it does not directly address the issue of overprovisioned resources and may even increase costs if not combined with proper sizing.

Explanation

Consolidating into larger nodes can reduce the ability to scale granularly and might not match the actual usage patterns, potentially leading to even more overprovisioning and higher costs.

Explanation

Self-managing caching on EC2 instances might reduce costs if precisely tuned, but often increases complexity and operational overhead, which could negate any cost savings, and does not guarantee better resource utilization without fine-tuning.

Question

Task 4.1 Select existing workloads and processes for potential migration

As a Solutions Architect at a large enterprise, you have been tasked with completing an application migration assessment regarding the migration of a multi-tier web application to AWS. The application has an authentication system that relies on an on-premises Microsoft Active Directory for user credentials. Part of the migration requires integrating AWS resources with the on-premises Active Directory to maintain user access controls without significant changes to the authentication process. Which of the following IAM configurations should you recommend to meet these requirements?

select single answer

Explanation

AD Connector is a directory gateway with which you can redirect directory requests to your on-premises Microsoft Active Directory without caching any information in the cloud, and it allows your AWS resources to use your existing on-premises user credentials. Configuring IAM roles to trust the AD identities enables the continuation of using existing credentials and access management policies.

Explanation

AWS IAM Access Analyzer is a feature that helps identify the resources in your organization and accounts that are shared with an external entity and evaluates permissions granted using policies, it does not facilitate the integration of Active Directory with IAM for authentication and authorization.

Explanation

Although AWS Managed Microsoft AD can be used to handle directory services in AWS, this approach would require significant changes to the authentication process and user account migration, which does not align with the goal of maintaining the existing authentication process.

Explanation

Creating individual IAM users is not a scalable or secure approach, it does not integrate with the on-premises Active Directory, and it would require setting and maintaining separate credentials and permissions in AWS, which goes against the requirement to maintain the authentication process.

Question

Task 4.2 Determine the optimal migration approach for existing workloads

A company has a large-scale deployment running on a VMware infrastructure in their on-premises datacenters. The Chief Technical Officer (CTO) wants to migrate these workloads to AWS to take advantage of cloud scalability and to retire their aging hardware. The deployment includes several business-critical applications that should have minimal downtime during migration. Furthermore, the CTO wishes to maintain the use of their existing VMware management tools post-migration. Which data transfer service and migration strategy would be most appropriate for this scenario?

select single answer

Explanation

VMware Cloud on AWS is the ideal solution for the scenario as it allows the company to seamlessly migrate their existing VMware-based workloads to AWS with minimal downtime. It supports live migrations and provides integration with VMware management tools, which the CTO wishes to continue using post-migration.

Explanation

AWS Direct Connect provides a dedicated network connection between the on-premises environment and AWS. Although it can be part of a migration strategy, on its own it does not provide a comprehensive solution for migrating VMware workloads or the continued use of VMware management tools post-migration.

Explanation

AWS Database Migration Service is primarily used for migrating databases to AWS. While it supports minimal downtime, it is not specifically designed for VMware workloads nor does it address the CTO's requirement to maintain use of VMware management tools.

Explanation

AWS Snowball is a data transport solution used to transfer large amounts of data into and out of AWS. It is not suitable for the migration of live, business-critical applications from a VMware environment with the requirement of minimal downtime and continued use of VMware management tools.

Question

Task 4.3 Determine a new architecture for existing workloads

A company is moving their legacy web application to AWS. The web application consists of a stateless web tier and a database tier. The company wants to ensure high availability and scalability for their web tier in the cloud. They are considering using Elastic Load Balancing (ELB) to distribute incoming traffic across multiple EC2 instances. As an AWS Certified Solutions Architect - Professional, which type of Elastic Load Balancing solution should you recommend to meet the company's requirements?

select single answer

Explanation

An Application Load Balancer (ALB) is best suited for HTTP/HTTPS traffic and can route requests to different destinations based on content. It is designed for advanced routing, high availability, and scales automatically to handle varying levels of traffic, making it the ideal choice for the stateless web tier of a web application.

Explanation

A Network Load Balancer (NLB) is ideal for handling millions of requests per second while maintaining ultra-low latencies, usually required for TCP traffic. While it is highly scalable and performs at Layer 4, it is not designed specifically for HTTP/HTTPS routing, which is what is typically required for a stateless web tier.

Explanation

Elastic IP Load Balancing is not a valid AWS service or concept. AWS Elastic IP addresses are static IPv4 addresses designed for dynamic cloud computing, not for distributing incoming traffic across instances.

Explanation

The Classic Load Balancer (CLB) is a legacy Elastic Load Balancer and it does not offer the same advanced routing capabilities or application-level intelligence as an ALB. It is not recommended for new applications or architectures that require high availability and scalability.

Question

Task 4.3 Determine a new architecture for existing workloads

Your company has decided to migrate a compute-intensive application to AWS to improve performance and cost-efficiency. After thorough analysis, the application has been identified as compatible with the AWS Graviton Processor, which is based on the ARM architecture, and offers better price performance for workloads. The application runs on x86-based Linux virtual machines that are self-managed on-premises. As an AWS Certified Solutions Architect - Professional, which of the following compute options should you choose to achieve the company's goal?

select single answer

Explanation

The AWS Graviton processors are specifically designed to provide cost-effective, high performance for compute-intensive workloads. Amazon EC2 instances powered by AWS Graviton2 or Graviton3 processors would be the appropriate choice to leverage the performance benefits and cost savings of the ARM architecture for the company's application.

Explanation

While AWS Lambda supports ARM architecture through AWS Graviton2 processor capabilities, the scenario mentions a compute-intensive application. AWS Lambda is typically more appropriate for short-duration, event-driven workloads and may not suit the performance profile of a compute-intensive application without significant refactoring.

Explanation

Choosing x86-based EC2 instances would not take advantage of AWS Graviton's price-performance benefits for compute-intensive workloads, thus not aligning with the goal of improving performance and cost-efficiency.

Explanation

AWS Outposts brings native AWS services to on-premises environments, but the use case described focuses on moving to AWS for improvement in performance and cost. Since there's no requirement to keep the workload on-premises, choosing Outposts wouldn't fully leverage the cloud's benefits and could also result in higher costs compared to cloud-native options.

Question

Task 4.4 Determine opportunities for modernization and enhancement

A company is refactoring its monolithic e-commerce application into a microservices architecture on the AWS Cloud in an effort to increase scalability and maintainability. The application's order processing system must handle spikes during flash sales events without incurring unnecessary costs during periods of low activity. The Chief Technology Officer (CTO) has asked you to minimize operational overhead. As the Solutions Architect on this project, which of the following would you recommend to publish order events from the checkout service, which can then trigger downstream processing in a decoupled and scalable way?

select single answer

Explanation

Amazon SNS is a fully managed pub/sub messaging service that is ideal for building serverless, scalable, and loosely coupled event-driven architectures. By using SNS, the application can publish messages that dynamically trigger Lambda functions without the need to manage the underlying infrastructure. This scenario promotes cost-efficiency and scalability and appropriately leverages the serverless capabilities of AWS.

Explanation

Although EC2 instances with Auto Scaling Groups can handle variable workloads, this option does not minimize operational overhead and is not considered serverless. It involves managing the scaling of EC2 instances and does not leverage fully managed serverless services like Lambda and SNS.

Explanation

While AWS Lambda can be triggered by Amazon RDS events, creating a direct trigger from the database is not a scalable and loosely coupled approach for handling order events. It couples the database schema to the processing logic too tightly and does not take advantage of SNS's pub/sub capabilities for event distribution. Moreover, database triggers may not be able to handle the burst of traffic efficiently during flash sales events.

Explanation

Using a cron job on an EC2 instance is an anti-pattern for serverless and event-driven architectures. It is not scalable, and it incurs costs continuously, even when there are no new orders to process. It also increases the operational complexity and overhead.

Exam Technologies and Concepts

Compute

Computing involves the use of computers to process data, execute tasks, and run applications. In the context of cloud computing, this translates to leveraging remote servers hosted on the internet to perform these functions rather than relying on local servers or personal computers. AWS supports this with Amazon EC2 for scalable virtual servers, AWS Lambda for serverless computing that executes code in response to events, Amazon ECS and EKS for managing containerized applications, and AWS Fargate for running containers without managing servers.

Cost management

Cost management involves monitoring, controlling, and optimizing spending on cloud resources. AWS supports this with AWS Cost Explorer for visualizing and analyzing cost and usage over time, AWS Budgets for setting and tracking custom cost and usage budgets, AWS Trusted Advisor for providing recommendations to optimize costs, and AWS Cost and Usage Report for detailed billing information. These services help organizations gain visibility into their spending, identify cost-saving opportunities, and ensure efficient use of resources to control and reduce cloud expenses

Database

Database services in cloud computing provide scalable and managed database solutions for various applications. AWS supports this with Amazon RDS for managed relational databases, Amazon DynamoDB for NoSQL databases, Amazon Aurora for high-performance relational databases compatible with MySQL and PostgreSQL, Amazon Redshift for data warehousing, Amazon Neptune for graph databases, Amazon DocumentDB for MongoDB-compatible document databases, and Amazon Timestream for time series data. These services ensure high availability, scalability, and security, allowing organizations to focus on their applications without managing the underlying database infrastructure, and support diverse data management needs efficiently.

Disaster recovery

Disaster recovery in cloud computing involves preparing for and recovering from unexpected disruptions to ensure business continuity, focusing on minimizing Recovery Point Objective (RPO) and Recovery Time Objective (RTO). RPO refers to the maximum acceptable amount of data loss measured in time, indicating how frequently data backups should occur. RTO refers to the maximum acceptable amount of time to restore services after a disruption. AWS supports this with AWS Backup for centralized backup management, Amazon S3 for durable storage of backup data, Amazon RDS for automated database backups, and AWS Elastic Disaster Recovery for recovering applications on AWS from physical, virtual, or cloud-based infrastructure. These services help organizations achieve low RPOs and RTOs, minimizing data loss and downtime, and ensuring robust and reliable disaster recovery strategies.

Management and governance

Management and governance in cloud computing involve overseeing and controlling cloud resources to ensure compliance, security, and operational efficiency. AWS supports this with AWS CloudTrail for logging and monitoring account activity, AWS Config for tracking and auditing resource configurations, AWS Systems Manager for operational data management and automation, AWS Organizations for centralized management of multiple AWS accounts, and AWS Control Tower for setting up and governing a secure, multi-account AWS environment. These services help organizations maintain visibility, enforce policies, and automate processes, ensuring effective management and governance of their AWS environment.

Microservices and component delivery

Microservices architecture in cloud computing involves designing applications as a collection of loosely coupled, independently deployable services. AWS supports this with Amazon ECS for managing Docker containers, Amazon EKS for orchestrating Kubernetes, AWS Lambda for running serverless functions, Amazon API Gateway for managing APIs, and AWS App Mesh for ensuring service-to-service communication. These services enable scalable, flexible, and resilient microservices architectures, allowing organizations to develop, deploy, and scale components independently, ensuring efficient and reliable component delivery.

Migration and data transfer

Migration and data transfer in cloud involve moving applications, data, and workloads from on-premises or other cloud environments to AWS. AWS supports this with AWS Migration Hub for tracking and managing migrations, AWS Database Migration Service (DMS) for migrating databases with minimal downtime, AWS Server Migration Service (SMS) for migrating on-premises servers, AWS Snowball for transferring large amounts of data, and AWS DataSync for automating data transfer between on-premises storage and AWS. These services enable efficient, secure, and seamless migration and data transfer, helping organizations transition to AWS with minimal disruption.

Networking, connectivity, and content delivery

Networking, connectivity, and content delivery in cloud involve connecting and securing resources across cloud and on-premises environments, and efficiently delivering content to users globally. AWS supports this with Amazon VPC for creating isolated cloud resources, AWS Direct Connect for dedicated network connections, Amazon Route 53 for scalable DNS and traffic management, AWS CloudFront for content delivery with low latency and high transfer speeds, and AWS Transit Gateway for connecting VPCs and on-premises networks. These services ensure high availability, security, and performance, enabling robust networking, reliable connectivity, and efficient content delivery.

Security

Security in cloud computing involves protecting data, applications, and infrastructure while ensuring regulatory compliance, supported by AWS services like IAM, KMS, Shield, WAF, GuardDuty, and CloudTrail, which collectively provide robust security measures for data confidentiality, integrity, and availability.

Serverless

Serverless architecture in cloud computing allows developers to build and run applications without managing infrastructure, supported by AWS services like Lambda, API Gateway, DynamoDB, Step Functions, and S3, enabling automatic scaling, efficient workflows, and cost-effective development while AWS handles infrastructure and maintenance.

Storage

Storage in cloud computing involves secure, efficient data management and access, supported by AWS services like Amazon S3, EBS, EFS, Glacier, and Backup, providing durable, scalable, and flexible solutions for various use cases.

High availability

High availability ensures that systems and applications remain operational with minimal downtime. AWS enhances high availability with services like Amazon EC2 Auto Scaling for dynamic resource management, Amazon RDS Multi-AZ deployments for database redundancy, and Amazon Route 53 for reliable DNS routing. These tools ensure continuous operation, fault tolerance, and quick recovery from failures.

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