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| Section | Weight | Objectives |
|---|
| Design High-Performing Architectures | 24% | - Design high-performance storage solutions
- 1. Caching and content delivery
- 2. Storage types (object, block, file)
- 3. Storage performance and durability
- Design high-performance compute solutions
- 1. Compute options (EC2, Lambda, ECS, EKS)
- 2. Instance types and sizing
- 3. Scaling and performance optimization
- Design high-performance networking solutions
- 1. Network architecture and connectivity
- 2. Latency reduction and throughput optimization
- 3. Global acceleration and routing
|
| Design Cost-Optimized Architectures | 20% | - Control and monitor costs
- 1. Resource tagging and allocation
- 2. Cost management tools and alerts
- Design cost-effective compute and network solutions
- 1. Serverless and pay-as-you-go models
- 2. Data transfer cost optimization
- 3. Right-sizing and reserved instances
- Identify cost-effective storage solutions
- 1. Data retention and archiving
- 2. Storage classes and lifecycle policies
|
| Design Secure Architectures | 30% | - 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. Compliance and governance controls
- 3. Data protection and encryption (at rest/in transit)
- Design secure access to AWS resources
- 1. Shared responsibility model
- 2. Security best practices and least privilege
- 3. Multi-account access and control
- 4. Identity and access management (IAM, IAM Identity Center)
|
| Design Resilient Architectures | 26% | - Design decoupled and loosely coupled systems
- 1. Event-driven architectures
- 2. Messaging and queue services
- 3. Serverless and managed service integration
- Design for reliability and recovery
- 1. Backup and restore mechanisms
- 2. Failover and failback processes
- 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
|
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q394-Q399):
NEW QUESTION # 394
A company wants to direct its users to a backup static error page if the company's primary website is unavailable. The primary website's DNS records are hosted in Amazon Route 53. The domain is pointing to an Application Load Balancer (ALB). The company needs a solution that minimizes changes and infrastructure overhead.
Which solution will meet these requirements?
- A. Set up a Route 53 active-active configuration with the ALB and an Amazon EC2 instance that hosts a static error page as endpoints. Configure Route 53 to send requests to the instance only if the health checks fail for the ALB.
- B. Update the Route 53 records to use a multivalue answer routing policy. Create a health check. Direct traffic to the website if the health check passes. Direct traffic to a static error page that is hosted in Amazon S3 if the health check does not pass.
- C. Update the Route 53 records to use a latency routing policy. Add a static error page that is hosted in an Amazon S3 bucket to the records so that the traffic is sent to the most responsive endpoints.
- D. Set up a Route 53 active-passive failover configuration. Direct traffic to a static error page that is hosted in an Amazon S3 bucket when Route 53 health checks determine that the ALB endpoint is unhealthy.
Answer: D
Explanation:
This solution meets the requirements of directing users to a backup static error page if the primary website is unavailable, minimizing changes and infrastructure overhead. Route 53 active-passive failover configuration can route traffic to a primary resource when it is healthy or to a secondary resource when the primary resource is unhealthy. Route 53 health checks can monitor the health of the ALB endpoint and trigger the failover when needed. The static error page can be hosted in an S3 bucket that is configured as a website, which is a simple and cost-effective way to serve static content.
Option A is incorrect because using a latency routing policy can route traffic based on the lowest network latency for users, but it does not provide failover functionality. Option C is incorrect because using an active-active configuration with the ALB and an EC2 instance can increase the infrastructure overhead and complexity, and it does not guarantee that the EC2 instance will always be healthy. Option D is incorrect because using a multivalue answer routing policy can return multiple values for a query, but it does not provide failover functionality.
Reference:
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy-failover.html
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/dns-failover.html
https://docs.aws.amazon.com/AmazonS3/latest/userguide/WebsiteHosting.html
NEW QUESTION # 395
A company needs to archive an on-premises relational database. The company wants to retain the data. The company needs to be able to run SQL queries on the archived data to create annual reports. Which solution will meet these requirements with the LEAST operational overhead?
- A. Create a database backup on premises. Use AWS DataSync to transfer the data to Amazon S3.
Create an S3 Lifecycle configuration to move the data to S3 Glacier Deep Archive. Restore the backup to Amazon EC2 instances to run reports. - B. Use AWS Database Migration Service (AWS DMS) to migrate the on-premises database to an Amazon RDS instance. Retire the on-premises database. Maintain the RDS instance in a stopped state until the data is needed for reports.
- C. Set up database replication from the on-premises database to an Amazon EC2 instance. Retire the on-premises database. Make a snapshot of the EC2 instance. Maintain the EC2 instance in a stopped state until the data is needed for reports.
- D. Use AWS Database Migration Service (AWS DMS) to migrate the on-premises databases to Amazon S3 in Apache Parquet format. Store the data in S3 Glacier Flexible Retrieval. Use Amazon Athena to run reports.
Answer: D
Explanation:
Amazon S3 is the most cost-effective option for archiving data. Using AWS DMS to migrate to S3 in Apache Parquet format provides an optimized columnar format for analytics. By storing in S3 Glacier Flexible Retrieval, costs are minimized while maintaining compliance with retention. When queries are required, Athena can run SQL queries directly on archived data in S3 without provisioning infrastructure. Options A and B rely on maintaining RDS or EC2 instances, which increases cost and operational overhead. Option C requires full restores to EC2 before running queries, which is slow and inefficient. Therefore, D provides the lowest operational overhead and direct query capability with Athena.
NEW QUESTION # 396
A company has separate AWS accounts for its finance, data analytics, and development departments. Because of costs and security concerns, the company wants to control which services each AWS account can use. Which solution will meet these requirements with the LEAST operational overhead?
- A. Create organization units (OUs) for each department in AWS Organizations. Attach service control policies (SCPs) to the OUs.
- B. Use AWS Systems Manager templates to control which AWS services each department can use
- C. Use AWS CloudFormation to automatically provision only the AWS services that each department can use.
- D. Set up a list of products in AWS Service Catalog in the AWS accounts to manage and control the usage of specific AWS services
Answer: A
Explanation:
AWS Organizations: AWS Organizations allows you to create multiple AWS accounts and manage them centrally. You can organize accounts into organizational units (OUs) and apply policies to these units.
Organizational Units (OUs):
Create separate OUs for each department: finance, data analytics, and development. Place the respective AWS accounts for each department into their corresponding OUs.
Service Control Policies (SCPs):
SCPs are policies that can restrict which AWS services and actions are available to accounts in an OU. Create SCPs to define which services each department can use and attach these policies to the appropriate OUs.
SCPs apply to all IAM users, groups, and roles within the accounts in the OU, providing centralized control over service usage.
Operational Efficiency: Using AWS Organizations and SCPs provides a scalable and centralized way to manage permissions across multiple accounts with minimal operational overhead.
NEW QUESTION # 397
[Design High-Performing Architectures]
A company has launched an Amazon RDS for MySQL D6 instance Most of the connections to the database come from serverless applications. Application traffic to the database changes significantlyat random intervals At limes of high demand, users report that their applications experience database connection rejection errors.
Which solution will resolve this issue with the LEAST operational overhead?
- A. Deploy Amazon ElastCache for Memcached between the users' application and the DB instance
- B. Create a proxy in RDS Proxy Configure the users' applications to use the DB instance through RDS Proxy
- C. Migrate the DB instance to a different instance class that has higher I/O capacity. Configure the users' applications to use the new DB instance.
- D. Configure Multi-AZ for the DB instance Configure the users' application to switch between the DB instances.
Answer: B
Explanation:
Many applications, including those built on modern serverless architectures, can have a large number of open connections to the database server and may open and close database connections at a high rate, exhausting database memory and compute resources. Amazon RDS Proxy allows applications to pool and share connections established with the database, improving database efficiency and application scalability. (https://aws.amazon.com/pt/rds/proxy/)
NEW QUESTION # 398
A company uses an Amazon DynamoDB table to store data that the company receives from devices. The DynamoDB table supports a customer-facing website to display recent activity oncustomer devices The company configured the table with provisioned throughput for writes and reads The company wants to calculate performance metrics for customer device data on a daily basis. The solution must have minimal effect on the table's provisioned read and write capacity Which solution will meet these requirements?
- A. Use an Amazon EMR job with an Apache Hive external table to calculate performance metrics on a recurring schedule.
- B. Use an Amazon Redshift COPY command to calculate performance metrics on a recurring schedule.
- C. Use an AWS Glue job with the AWS Glue DynamoDB export connector to calculate performance metrics on a recurring schedule.
- D. Use an Amazon Athena SQL query with the Amazon Athena DynamoDB connector to calculate performance metrics on a recurring schedule.
Answer: D
Explanation:
Amazon Athena provides a cost-effective, serverless way to query data without affecting the performance of DynamoDB. By using the Athena DynamoDB connector, the company can perform the necessary SQL queries without consuming read capacity on the DynamoDB table, which is essential for minimizing impact on provisioned throughput.
Key benefits:
Minimal Impact on Provisioned Capacity: Athena queries do not directly impact DynamoDB's read capacity, making it ideal for running analytics without affecting the customer-facing workloads.
Cost-Effective: Athena is a serverless solution, meaning you pay only for the queries you run, making it highly cost-effective compared to running a dedicated cluster like Amazon EMR or Redshift.
AWS Documentation: The use of Athena to query DynamoDB through its connector aligns with AWS's best practices for performance efficiency and cost optimization.
NEW QUESTION # 399
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