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Amazon AWS Certified Developer - Associate Sample Questions (Q630-Q635):

NEW QUESTION # 630
A developer is using an AWS CloudFormation template to create a pipeline in AWS CodePipeline. The template creates an Amazon S3 bucket that the pipeline references in a source stage. The template also creates an AWS CodeBuild project for a build stage. The pipeline sends notifications to an Amazon SNS topic. Logs for the CodeBuild project are stored in Amazon CloudWatch Logs. The company needs to ensure that the pipeline's artifacts are encrypted with an existing customer-managed AWS KMS key. The developer has granted the pipeline permissions to use the KMS key.
Which additional step will meet these requirements?

A. Apply an S3 bucket policy that ensures the pipeline sends only encrypted objects to the S3 bucket.
B. In the CloudFormation template, use the KMS key to encrypt the logs in CloudWatch Logs.
C. Create an Amazon S3 gateway endpoint that the pipeline can access.
D. Configure the notification topic to use the existing KMS key to enable encryption with the existing KMS key.

Answer: A

Explanation:
Ensuring that pipeline artifacts are encrypted with a customer-managed AWS KMS key involves configuring the S3 bucket policy to require encryption. This policy ensures all objects uploaded to the bucket are encrypted with the specified KMS key.

NEW QUESTION # 631
A developer is using AWS Step Functions to automate a workflow The workflow defines each step as an AWS Lambda function task The developer notices that runs of the Step Functions state machine fail in the GetResource task with either an UlegalArgumentException error or a TooManyRequestsException error The developer wants the state machine to stop running when the state machine encounters an UlegalArgumentException error. The state machine needs to retry the GetResource task one additional time after 10 seconds if the state machine encounters a TooManyRequestsException error. If the second attempt fails, the developer wants the state machine to stop running.
How can the developer implement the Lambda retry functionality without adding unnecessary complexity to the state machine'?

A. Add a Delay task after the GetResource task. Add a catcher to the GetResource task. Configure the catcher with an error type of TooManyRequestsException. Configure the next step to be the Delay task Configure the Delay task to wait for an interval of 10 seconds Configure the next step to be the GetResource task.
B. Add a catcher to the GetResource task Configure the catcher with an error type of TooManyRequestsException. an interval of 10 seconds, and a maximum attempts value of 1. Configure the next step to be the GetResource task.
C. Duplicate the GetResource task Rename the new GetResource task to TryAgain Add a catcher to the original GetResource task Configure the catcher with an error type of TooManyRequestsException.Configure the next step to be TryAgain.
D. Add a retrier to the GetResource task Configure the retrier with an error type of TooManyRequestsException, an interval of 10 seconds, and a maximum attempts value of 1.

Answer: D

Explanation:
* Step Functions Retriers:Retriers provide a built-in way to gracefully handle transient errors within State Machines. Here's how to use them:
* Directly attach a retrier to the problematic 'GetResource' task.
* Configure the retrier:
* ErrorEquals: Set this to ['TooManyRequestsException'] to target the specific error.
* IntervalSeconds: Set to 10 for the desired retry delay.
* MaxAttempts: Set to 1, as you want only one retry attempt.
* Error Handling:
* Upon 'TooManyRequestsException', the retrier triggers the task again after 10 seconds.
* On a second failure, Step Functions moves to the next state or fails the workflow, as per your design.
* 'IllegalArgumentException' causes error propagation as intended.

NEW QUESTION # 632
A developer runs an application that displays scores for sports games on Amazon EC2 instances. The application uses a Redis client to retrieve the scores from an Amazon ElastiCache (Redis OSS) cluster.
The developer observes increased latency during operations on the cache because of connection failures to the cluster. The developer needs to resolve the latency issues.

A. Configure the Redis client to use an exponential backoff retry strategy to establish cache connections.
B. Configure the Redis client in the application to persist connections to the cluster by implementing a connection pool.
C. Deploy more nodes in the ElastiCache cluster. Update the Redis client to discover the new nodes.
D. Store the scores in the application's memory. Perform bulk set operations on the scores that are stored in memory.

Answer: B

Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option C is Correct:Implementing a connection pool in the Redis client reduces connection overhead and avoids frequent connection establishment, which helps to reduce latency and connection failures.
* Why Other Options are Incorrect:
* Option A: Exponential backoff retry strategies help with transient failures but do not resolve latency caused by frequent connection establishment.
* Option B: Storing scores in application memory adds complexity and risks inconsistency.
* Option D: Adding more nodes is unnecessary unless the cluster is under heavy load. Latency due to connection failures is better addressed at the application level.
* AWS Documentation References:
* Amazon ElastiCache Best Practices

NEW QUESTION # 633
An application that runs on AWS receives messages from an Amazon Simple Queue Service (Amazon SQS) queue and processes the messages in batches. The application sends the data to another SQS queue to be consumed by another legacy application. The legacy system can take up to 5 minutes to process some transaction data.
A developer wants to ensure that there are no out-of-order updates in the legacy system. The developer cannot alter the behavior of the legacy system.
Which solution will meet these requirements?

A. Use an SQS FIFO queue. Configure the visibility timeout value.
B. Use an SQS standard queue with a SendMessageBatchRequestEntry data type. Configure the visibility timeout value.
C. Use an SQS FIFO queue. Configure the DelaySeconds value.
D. Use an SQS standard queue with a SendMessageBatchRequestEntry data type. Configure the DelaySeconds values.

Answer: A

Explanation:
An SQS FIFO queue is a type of queue that preserves the order of messages and ensures that each message is delivered and processed only once1. This is suitable for the scenario where the developer wants to ensure that there are no out-of-order updates in the legacy system.
The visibility timeout value is the amount of time that a message is invisible in the queue after a consumer receives it2. This prevents other consumers from processing the same message simultaneously. If the consumer does not delete the message before the visibility timeout expires, the message becomes visible again and another consumer can receive it2.
In this scenario, the developer needs to configure the visibility timeout value to be longer than the maximum processing time of the legacy system, which is 5 minutes. This will ensure that the message remains invisible in the queue until the legacy system finishes processing it and deletes it. This will prevent duplicate or out-of-order processing of messages by the legacy system.

NEW QUESTION # 634
A company has an AWS Lambda function that processes incoming requests from an Amazon API Gateway API. The API calls the Lambda function by using a Lambda alias. A developer updated the Lambda function code to handle more details related to the incoming requests. The developer wants to deploy the new Lambda function for more testing by other developers with no impact to customers that use the API.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a new version of the Lambda function. Create a new stage on API Gateway with integration to the new Lambda version. Use the new API Gateway stage to test the Lambda function.
B. Update the existing Lambda alias used by API Gateway to a weighted alias. Add the new Lambda version as an additional Lambda function with a weight of 10%. Use the existing API Gateway stage for testing.
C. Create a new version of the Lambda function. Create a new API Gateway API for testing purposes. Update the integration of the new API with the new Lambda version. Use the new API for testing.
D. Create a new version of the Lambda function. Create and deploy a second Lambda function to filter incoming requests from API Gateway. If the filtering Lambda function detects a test request, the filtering Lambda function will invoke the new Lambda version of the code. For other requests, the filtering Lambda function will invoke the old Lambda version. Update the API Gateway API to use the filtering Lambda function.

Answer: A

NEW QUESTION # 635
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