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| Section | Weight | Objectives |
|---|---|---|
| Design for New Solutions | 31% | - Database migration
|
| Design for Organizational Complexity | 12.5% | - Multi-account AWS environments - Networks
|
| Continuous Improvement for Existing Solutions | 23% | - Security hardening
|
| Cost Control | 18.5% | - Resource efficiency
|
| Migration Planning | 15% | - Validation and testing post-migration - Data migration considerations
|
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NEW QUESTION # 503
A company has millions of objects in an Amazon S3 bucket. The objects are in the S3 Standard storage class.
All the S3 objects are accessed frequently. The number of users and applications that access the objects is increasing rapidly. The objects are encrypted with server-side encryption with AWS KMS Keys (SSE-KMS).
A solutions architect reviews the company's monthly AWS invoice and notices that AWS KMS costs are increasing because of the high number of requests from Amazon S3. The solutions architect needs to optimize costs with minimal changes to the application.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
To reduce the volume of Amazon S3 calls to AWS KMS, use Amazon S3 bucket keys, which are protected encryption keys that are reused for a limited time in Amazon S3. Bucket keys can reduce costs for AWS KMS requests by up to 99%. You can configure a bucket key for all objects in an Amazon S3 bucket, or for a specific object in an Amazon S3 bucket.
https://docs.aws.amazon.com/fr_fr/kms/latest/developerguide/services-s3.html
NEW QUESTION # 504
A company that provides image storage services wants to deploy a customer-lacing solution to AWS. Millions of individual customers will use the solution. The solution will receive batches of large image files, resize the files, and store the files in an Amazon S3 bucket for up to 6 months.
The solution must handle significant variance in demand. The solution must also be reliable at enterprise scale and have the ability to rerun processing jobs in the event of failure.
Which solution will meet these requirements MOST cost-effectively?
Answer: D
Explanation:
S3 Event Notifications is a feature that allows users to receive notifications when certain events happen in an S3 bucket, such as object creation or deletion1. Users can configure S3 Event Notifications to invoke an AWS Lambda function when a user stores an image in the bucket. Lambda is a serverless compute service that runs code in response to events and automatically manages the underlying compute resources2. The Lambda function can resize the image in place and store the original file in the same S3 bucket. This way, the solution can handle significant variance in demand and be reliable at enterprise scale. The solution can also rerun processing jobs in the event of failure by using the retry and dead-letter queue features of Lambda2.
S3 Lifecycle is a feature that allows users to manage their objects so that they are stored cost-effectively throughout their lifecycle3. Users can create an S3 Lifecycle policy to move all stored images to S3 Standard-Infrequent Access (S3 Standard-IA) after 6 months. S3 Standard-IA is a storage class designed for data that is accessed less frequently, but requires rapid access when needed4. It offers a lower storage cost than S3 Standard, but charges a retrieval fee. Therefore, moving the images to S3 Standard-IA after 6 months can reduce the storage cost for the solution.
Option A is incorrect because using AWS Step Functions to process the S3 event that occurs when a user stores an image is not necessary or cost-effective. AWS Step Functions is a service that lets users coordinate multiple AWS services into serverless workflows. However, for this use case, a single Lambda function can handle the image resizing task without needing Step Functions.
Option B is incorrect because using Amazon EventBridge to process the S3 event that occurs when a user uploads an image is not necessary or cost-effective. Amazon EventBridge is a serverless event bus service that makes it easy to connect applications with data from a variety of sources. However, for this use case, S3 Event Notifications can directly invoke the Lambda function without needing EventBridge.
Option D is incorrect because using Amazon Simple Queue Service (Amazon SQS) to process the S3 event that occurs when a user stores an image is not necessary or cost-effective. Amazon SQS is a fully managed message queuing service that enables users to decouple and scale microservices, distributed systems, and serverless applications. However, for this use case, S3 Event Notifications can directly invoke the Lambda function without needing SQS. Moreover, storing the resized file in an S3 bucket that uses S3 Standard-IA will incur a retrieval fee every time the file is accessed, which may not be cost-effective for frequently accessed files.
NEW QUESTION # 505
A company is building an application to collect large video files from customers who are located around the world. The application needs to store the video files in a highly durable storage solution across multiple Availability Zones until a separate system processes and removes the video flies.
The company wants to deploy the application to the us-east-2 Region. The company must provide low latency for customers in all geographic locations. The application will consist of a single-page application (SPA), storage for video files, and a database tier to store metadata for each video file. The company expects that traffic to the application will be unpredictable and will experience spikes throughout each day.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
This design has the least operational overhead because it uses managed, serverless services for every tier. A single-page application can be hosted from Amazon S3 and delivered globally through Amazon CloudFront, which is an AWS-recommended pattern for static SPA hosting.
For the large video files, Amazon S3 is the best fit because it provides highly durable object storage across multiple Availability Zones in a Region, which matches the requirement to retain uploaded files until processing removes them. AWS documents that S3 stores data redundantly across multiple Availability Zones by default.
To improve upload performance for customers around the world, S3 Transfer Acceleration uses Amazon CloudFront edge locations to speed transfers into the destination S3 bucket, which directly addresses the low-latency global upload requirement.
For metadata with unpredictable traffic and spikes, Amazon DynamoDB is the lowest-ops choice because it is serverless and on-demand capacity automatically scales without capacity planning.
NEW QUESTION # 506
A health insurance company stores personally identifiable information (PII) in an Amazon S3 bucket. The company uses server-side encryption with S3 managed encryption keys (SSE-S3) to encrypt the objects. According to a new requirement, all current and future objects in the S3 bucket must be encrypted by keys that the company's security team manages. The S3 bucket does not have versioning enabled.
Which solution will meet these requirements?
Answer: C
Explanation:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/ServerSideEncryptionCustomerKeys.html Clearly says we need following header for SSE-C x-amz-server-side-encryption-customer-algorithm Use this header to specify the encryption algorithm. The header value must be AES256.
NEW QUESTION # 507
A software company has deployed an application that consumes a REST API by using Amazon API Gateway.
AWS Lambda functions, and an Amazon DynamoDB table. The application is showing an increase in the number of errors during PUT requests. Most of the PUT calls come from a small number of clients that are authenticated with specific API keys.
A solutions architect has identified that a large number of the PUT requests originate from one client. The API is noncritical, and clients can tolerate retries of unsuccessful calls. However, the errors are displayed to customers and are causing damage to the API's reputation.
What should the solutions architect recommend to improve the customer experience?
Answer: A
Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/aws-batch-requests-error/
https://aws.amazon.com/premiumsupport/knowledge-center/api-gateway-429-limit/ The main problem is that one client is generating a large number of PUT requests, resulting in increased errors. Because the clients are authenticated by API keys and the problematic traffic is concentrated among a small set of clients, API Gateway usage plans and throttling are a direct control mechanism to limit the request rate per client (or per API key). The API is noncritical and clients can tolerate retries, so returning throttling responses is acceptable as long as clients handle them correctly. The goal is to reduce visible customer-facing errors and protect the API from being overwhelmed by a single client.
API Gateway usage plans can set request throttling limits (rate and burst) per API key. When a client exceeds the configured throttle, API Gateway returns HTTP 429 (Too Many Requests). If the client application is designed to treat 429 as a normal, retryable condition rather than a fatal error, the user experience improves because the client can back off and retry instead of surfacing raw failures. This approach prevents one noisy client from degrading service for other users and reduces the overall error rate.
Option B addresses the root cause (excess requests from a particular client) by enforcing throttling at the API Gateway layer and improving client behavior when throttled.
Option A focuses on client-side retries and error handling but does not enforce fairness or prevent a single client from consuming disproportionate API capacity. Without throttling, the same client can continue to overload downstream Lambda and DynamoDB capacity and still cause errors for everyone.
Option C (API caching) does not help for PUT requests because PUT operations are writes and are generally not cacheable in a way that reduces write load. Caching is mainly beneficial for GET responses and read- heavy workloads.
Option D (reserved concurrency) can protect Lambda capacity for critical functions, but it can also cause throttling at the Lambda layer and does not directly address controlling the request rate per API key. It also does not fix the issue at the API front door where the noisy client should be managed.
Therefore, implementing API Gateway throttling via a usage plan and ensuring clients handle 429 responses properly is the best recommendation.
References:AWS documentation on Amazon API Gateway usage plans and API key throttling, including rate and burst limits and 429 responses.AWS best practices for handling throttling responses with retries and backoff for improved client experience.
NEW QUESTION # 508
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