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| Section | Weight | Objectives |
|---|---|---|
| Design Resilient Architectures | 26% | - Fault tolerance and recovery
|
| Design Cost-Optimized Architectures | 20% | - Cost-effective resource selection
|
| Design Secure Architectures | 30% | - Secure workloads and applications
|
| Design High-Performing Architectures | 24% | - Compute and storage optimization
|
>> Relevant SAA-C03 Answers <<
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NEW QUESTION # 398
A global company runs a data lake application in the us-east-1 Region and the eu-west-1 Region in an active-passive configuration. Application data is stored locally in Amazon S3 buckets in each AWS Region. The bucket in us-east-1 is the primary active bucket that handles all writes. The company needs to ensure that the application has Regional fault tolerance. The company also needs the storage layer to provide a highly available active-active capability for reads across Regions. The storage layer must provide low latency access through a single global endpoint.
Answer: D
Explanation:
Amazon S3 Multi-Region Access Points allow applications to access S3 buckets in multiple Regions through a single global endpoint. This provides active-active read access with automatic routing to the closest bucket for low latency. With cross-Region replication, writes in the primary Region are automatically copied to the secondary Region, providing fault tolerance. Option A (CloudFront) provides caching and distribution, but does not address write replication or active-active bucket access. Option B (Transfer Acceleration) optimizes uploads across distances but does not enable cross-Region fault tolerance. Option C (AWS Backup) is designed for backup/restore, not real-time multi-Region reads and writes. Therefore, D is the correct solution for active-active read access and disaster recovery.
Reference:
* Amazon S3 Multi-Region Access Points - Global endpoint access and routing
* AWS Well-Architected Framework - Reliability Pillar: Multi-Region design
NEW QUESTION # 399
A company has an on-premises server that uses an Oracle database to process and store customer information The company wants to use an AWS database service to achieve higher availability and to improve application performance. The company also wants to offload reporting from its primary database system.
Which solution will meet these requirements in the MOST operationally efficient way?
Answer: C
Explanation:
Amazon Aurora is a fully managed relational database that is compatible with MySQL and PostgreSQL. It provides up to five times better performance than MySQL and up to three times better performance than PostgreSQL. It also provides high availability and durability by replicating data across multiple Availability Zones and continuously backing up data to Amazon S31. By using Amazon RDS deployed in a Multi-AZ instance deployment to create an Amazon Aurora database, the solution can achieve higher availability and improve application performance.
Amazon Aurora supports read replicas, which are separate instances that share the same underlying storage as the primary instance. Read replicas can be used to offload read-onlyqueries from the primary instance and improve performance. Read replicas can also beused for reporting functions2. By directing the reporting functions to the reader instances, the solution can offload reporting from its primary database system.
A). Use AWS Database Migration Service (AWS DMS) to create an Amazon RDS DB instance in multiple AWS Regions Point the reporting functions toward a separate DB instance from the pri-mary DB instance.
This solution will not meet the requirement of using an AWS database service, as AWS DMS is a service that helps users migrate databases to AWS, not a database service itself. It also involves creating multiple DB instances in different Regions, which may increase complexity and cost.
B). Use Amazon RDS in a Single-AZ deployment to create an Oracle database Create a read replica in the same zone as the primary DB instance. Direct the reporting functions to the read replica. This solution will not meet the requirement of achieving higher availability, as a Single-AZ deployment does not provide failover protection in case of an Availability Zone outage. It also involves using Oracle as the database engine, which may not provide better performance than Aurora.
C). Use Amazon RDS deployed in a Multi-AZ cluster deployment to create an Oracle database Di-rect the reporting functions to use the reader instance in the cluster deployment. This solution will not meet the requirement of improving application performance, as Oracle may not provide better performance than Aurora. It also involves using a cluster deployment, which is only supported for Aurora, not for Oracle.
Reference URL: https://aws.amazon.com/rds/aurora/
NEW QUESTION # 400
A company hosts an application on multiple Amazon EC2 instances. The application processes messages from an Amazon SQS queue writes to an Amazon RDS table and deletes the message from the queue Occasional duplicate records are found in the RDS table. The SQS queue does not contain any duplicate messages. What should a solutions architect do to ensure messages are being processed once only?
Answer: A
Explanation:
The visibility timeout begins when Amazon SQS returns a message. During this time, the consumer processes and deletes the message. However, if the consumer fails before deleting the message and your system doesn't call the DeleteMessage action for that message before the visibility timeout expires, the message becomes visible to other consumers and the message is received again. If a message must be received only once, your consumer should delete it within the duration of the visibility timeout.
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs- visibility-timeout.html Keyword: SQS queue writes to an Amazon RDS From this, Option D best suite& other Options ruled out [Option A - You can't intruduce one more Queue in the existing one; Option B - only Permission& Option C - Only Retrieves Messages] FIF O queues are designed to never introduce duplicate messages. However, your message producer might introduce duplicates in certain scenarios: for example, if the producer sends a message, does not receive a response, and then resends the same message. Amazon SQS APIs provide deduplication functionality that prevents your message producer from sending duplicates. Any duplicates introduced by the message producer are removed within a 5-minute deduplication interval. For standard queues, you might occasionally receive a duplicate copy of a message (at-least-once delivery). If you use a standard queue, you must design your applications to be idempotent (that is, they must not be affected adversely when processing the same message more than once).
NEW QUESTION # 401
A company wants to run applications in containers in the AWS Cloud. These applications are stateless and can tolerate disruptions within the underlying infrastructure. The company needs a solution that minimizes cost and operational overhead.
What should a solutions architect do to meet these requirements?
Answer: D
Explanation:
https://aws.amazon.com/cn/blogs/compute/cost-optimization-and-resilience-eks-with-spot-instances/
NEW QUESTION # 402
A company plans to deploy an application that uses an Amazon CloudFront distribution. The company will set an Application Load Balancer (ALB) as the origin for the distribution. The company wants to ensure that users access the ALB only through the CloudFront distribution.
The company plans to deploy the solution in a new VPC. Which solution will meet these requirements?
Answer: A
Explanation:
Creating a CloudFront VPC origin for the Application Load Balancer allows CloudFront to reach the ALB privately inside the VPC (instead of over the public internet). By using the ALB's ARN as the VPC origin, the ALB can be kept non-public, which ensures users cannot access it directly and can reach it only through the CloudFront distribution.
NEW QUESTION # 403
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