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| Section | Weight | Objectives |
|---|
| Topic 1: Design Resilient Architectures | 26% | - Design for reliability and recovery
- 1. Failover and failback processes
- 2. Backup and restore mechanisms
- Design highly available and fault-tolerant architectures
- 1. Load balancing and auto scaling
- 2. Regions, Availability Zones, and edge locations
- 3. Replication and disaster recovery strategies
- Design decoupled and loosely coupled systems
- 1. Event-driven architectures
- 2. Messaging and queue services
- 3. Serverless and managed service integration
|
| Topic 2: Design Secure Architectures | 30% | - Design secure access to AWS resources
- 1. Multi-account access and control
- 2. Shared responsibility model
- 3. Identity and access management (IAM, IAM Identity Center)
- 4. Security best practices and least privilege
- Design for security and threat detection
- 1. Monitoring and logging services
- 2. Incident response and security automation
- Design secure workloads and applications
- 1. Network security (VPC, security groups, NACLs)
- 2. Data protection and encryption (at rest/in transit)
- 3. Compliance and governance controls
|
| Topic 3: Design Cost-Optimized Architectures | 20% | - Identify cost-effective storage solutions
- 1. Storage classes and lifecycle policies
- 2. Data retention and archiving
- Control and monitor costs
- 1. Cost management tools and alerts
- 2. Resource tagging and allocation
- Design cost-effective compute and network solutions
- 1. Right-sizing and reserved instances
- 2. Data transfer cost optimization
- 3. Serverless and pay-as-you-go models
|
| Topic 4: Design High-Performing Architectures | 24% | - Design high-performance networking solutions
- 1. Latency reduction and throughput optimization
- 2. Global acceleration and routing
- 3. Network architecture and connectivity
- Design high-performance compute solutions
- 1. Instance types and sizing
- 2. Compute options (EC2, Lambda, ECS, EKS)
- 3. Scaling and performance optimization
- Design high-performance storage solutions
- 1. Storage types (object, block, file)
- 2. Storage performance and durability
- 3. Caching and content delivery
|
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q550-Q555):
NEW QUESTION # 550
[Design High-Performing Architectures]
A company has an application that processes customer orders. The company hosts the application on an Amazon EC2 instance that saves the orders to an Amazon Aurora database. Occasionally when traffic is high: the workload does not process orders fast enough.
What should a solutions architect do to write the orders reliably to the database as quickly as possible?
- A. Increase the instance size of the EC2 instance when traffic is high. Write orders to Amazon Simple Notification Service (Amazon SNS). Subscribe the database endpoint to the SNS topic.
- B. Write orders to an Amazon Simple Queue Service (Amazon SQS) queue. Use EC2 instances in an Auto Scaling group behind an Application Load Balancer to read from the SQS queue and process orders into the database.
- C. Write orders to an Amazon Simple Queue Service (Amazon SQS) queue when the EC2 instance reaches CPU threshold limits. Use scheduled scaling of EC2 instances in an Auto Scaling group behind an Application Load Balancer to read from the SQS queue and process orders into the database
- D. Write orders to Amazon Simple Notification Service (Amazon SNS) Subscribe the database endpoint to the SNS topic Use EC2 instances in an Auto Scaling group behind an Application Load Balancer to read from the SNS topic.
Answer: B
Explanation:
Amazon SQS is a fully managed message queuing service that can decouple and scale microservices, distributed systems, and serverless applications. By writing orders to an SQS queue, the application can handle spikes in traffic without losing any orders. The EC2 instances in an Auto Scaling group can read from the SQS queue and process orders into the database at a steady pace. The Application Load Balancer can distribute the loadacross the EC2 instances andprovide health checks. This solution meets all the requirements of the question, while the other options do not. Reference:
https://docs.aws.amazon.com/wellarchitected/latest/reliability-pillar/welcome.html
https://aws.amazon.com/architecture/serverless/
https://aws.amazon.com/sqs/
NEW QUESTION # 551
A cloud engineer wants to use AWS Systems Manager Session Manager to access an Amazon EC2 instance. The EC2 instance runs in a private VPC that does not have an internet gateway.
Which solution will meet these requirements?
- A. Create an IAM role than grants Amazon EC2 permission to access Systems Manager. Associate the IAM role with the EC2 instance profile of the EC2 instance.
- B. Move the EC2 instance to a public subnet.
- C. Create an inbound rule in the security group that is assigned to the EC2 instance. Configure the inbound rule to allow Session Manager to connect to the EC2 instance.
- D. Generate a new EC2 key pair. Stop the EC2 instance and assign the new key to the instance.
Relaunch the EC2 instance.
Answer: A
Explanation:
For AWS Systems Manager Session Manager to connect to an EC2 instance in a private subnet without internet access, the instance must have an IAM role that grants permissions to communicate with Systems Manager (SSM). Associating this IAM role with the EC2 instance profile allows it to connect securely to SSM through the AWS private network (via VPC endpoints if configured), without needing an internet gateway or inbound access.
NEW QUESTION # 552
A company has an application that is backed ny an Amazon DynamoDB table. The company's compliance requirements specify that database backups must be taken every month, must be available for 6 months, and must be retained for 7 years.
Which solution will meet these requirements?
- A. Create a DynamoDB on-damand backup of the DynamoDB table on the first day of each month Transition the backup to Amazon S3 Glacier Flexible Retrieval after 6 months. Create an S3 Lifecycle policy to delete backups that are older than 7 years.
- B. Use the AWS CLI to create an on-demand backup of the DynamoDB table Set up an Amazon EventBridge rule that runs the command on the first day of each month with a cron expression Specify in the command to transition the backups to cold storage after 6 months and to delete the backups after
7 years. - C. Use the AWS SDK to develop a script that creates an on-demand backup of the DynamoDB table. Set up an Amzon EvenlBridge rule that runs the script on the first day of each month. Create a second script that will run on the second day of each month to transition DynamoDB backups that are older than 6 months to cold storage and to delete backups that are older than 7 years.
- D. Create an AWS Backup plan to back up the DynamoDB table on the first day of each month. Specify a lifecycle policy that transitions the backup to cold storage after 6 months. Set the retention period for each backup to 7 years.
Answer: D
Explanation:
This solution satisfies the requirements in the following ways:
* AWS Backup will automatically take full backups of the DynamoDB table on the schedule defined in the backup plan (the first of each month).
* The lifecycle policy can transition backups to cold storage after 6 months, meeting that requirement.
* Setting a 7-year retention period in the backup plan will ensure each backup is retained for 7 years as required.
* AWS Backup manages the backup jobs and lifecycle policies, requiring no custom scripting or management.
NEW QUESTION # 553
A company has a legacy mainframe system that can retrieve data only from systems that provide synchronous RESTful APIs. A developer at the company creates a new web service to calculate stock prices. The new web service takes 3 minutes on average to process each request. The developer must integrate the new web service with the legacy mainframe system.
Which solution will meet these requirements?
- A. Configure a URL for an AWS Lambda function. Configure the legacy mainframe to use the Lambda function URL endpoint.
- B. Deploy an Amazon API Gateway HTTP API. Integrate the HTTP API with an AWS Lambda function.
Configure the legacy mainframe to use the HTTP API endpoint. - C. Deploy an Amazon API Gateway REST API. Integrate the REST API with an AWS Lambda function.
Configure the legacy mainframe to use the REST API endpoint. - D. Deploy an Amazon API Gateway WebSocket API. Integrate the WebSocket API with an AWS Lambda function. Configure the legacy mainframe to use the WebSocket API endpoint.
Answer: C
Explanation:
The correct answer is A because the legacy mainframe requires a synchronous RESTful API and the new service takes approximately 3 minutes to complete each request. Among the choices, Amazon API Gateway REST API is the appropriate option for exposing a synchronous REST endpoint to the mainframe. API Gateway REST APIs support longer integration timeouts than HTTP APIs, which makes them more suitable for workloads that take an extended time to process. The REST API can invoke an AWS Lambda function to execute the stock price calculation and return the result synchronously.
Option B is incorrect because API Gateway HTTP APIs have a shorter integration timeout and are not the best fit for a request that takes around 3 minutes. Option C is incorrect because WebSocket APIs are not RESTful and do not meet the requirement for synchronous REST-based integration with the mainframe.
Option D is incorrect because Lambda function URLs do not provide the same API management features and are not the best choice for a long-running synchronous enterprise integration requirement of this kind.
AWS design guidance favors API Gateway when exposing managed APIs to external consumers. In this case, the REST API option best matches the requirement for synchronous RESTful access while supporting the longer processing duration. It also provides a managed front door for authentication, throttling, and operational control if the company needs those features later.
One note of honesty: some exam versions treat the REST API timeout detail as the deciding factor here. That is the key reason REST API is preferred over HTTP API for this question.
NEW QUESTION # 554
A finance company uses backup software to back up its data to physical tape storage on- premises. To comply with regulations, the company needs to store the data for 7 years. The company must be able to restore archived data within one week when necessary. The company wants to migrate the backup data to AWS to reduce costs. The company does not want to change the current backup software. Which solution will meet these requirements MOST cost- effectively?
- A. Convert the physical tapes to virtual tapes. Use AWS DataSync to migrate the virtual tapes to Amazon S3 Glacier Flexible Retrieval. Change the target of the backup software to the S3 Glacier Flexible Retrieval.
- B. Use AWS Storage Gateway Tape Gateway to copy the data to virtual tapes. Use AWS DataSync to migrate the virtual tapes to the Amazon S3 Standard-Infrequent Access (S3 Standard-IA).
Change the target of the backup software to S3 Standard-IA. - C. Convert the physical tapes to virtual tapes. Use AWS Snowball Edge storage-optimized devices to migrate the virtual tapes to Amazon S3 Glacier Flexible Retrieval. Change the target of the backup software to S3 Glacier Flexible Retrieval.
- D. Use AWS Storage Gateway Tape Gateway to copy the data to virtual tapes. Migrate the virtual tapes to Amazon S3 Glacier Deep Archive. Change the target of the backup software to the virtual tapes.
Answer: D
Explanation:
AWS Storage Gateway Tape Gateway provides a seamless way to migrate backup data to AWS without requiring changes to the backup software. Migrating to S3 Glacier Deep Archive ensures long-term, cost-effective storage for data that rarely needs retrieval. Option A:S3 Standard-IA is more expensive than Glacier for long-term storage. Option B and D:Glacier Flexible Retrieval is costlier than Glacier Deep Archive for archival use cases with low retrieval frequency.
NEW QUESTION # 555
......
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