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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Optimization | 18% | - Troubleshoot application issues
|
| Deployment | 24% | - Deploy applications on AWS
|
| Development with AWS Services | 32% | - Write code for applications hosted on AWS
|
| Security | 26% | - Secure application data
|
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NEW QUESTION # 510
An application reads data from an Amazon Aurora global database with clusters in two AWS Regions.
Database credentials are stored in AWS Secrets Manager in the primary Region and are rotated regularly.
The application must be able to run in both Regions and remain highly available.
Which combination of actions will meet these requirements? (Select TWO.)
Answer: A,D
Explanation:
Comprehensive and Detailed Explanation (250-300 words):
AWS Secrets Manager supports cross-Region secret replication, which allows secrets to be automatically copied to other Regions and kept in sync during rotation. AWS documentation recommends secret replication for multi-Region applications to ensure local access and reduce dependency on cross-Region calls.
In this scenario, the primary Region continues to retrieve credentials from the original secret (Option A). The secondary Region retrieves credentials from the replica secret (Option B), ensuring low latency and resilience during Regional failures.
Promoting the replica to a standalone secret (Option C) breaks automatic rotation synchronization and increases operational overhead. Environment variables (Option E) are not suitable for rotating credentials.
Option D is vague and does not address multi-Region availability.
Thus, using the primary secret and a replicated secret is the correct approach.
NEW QUESTION # 511
A developer maintains an AWS Lambda function that is invoked synchronously through an API Gateway API. The Lambda function processes payments by calling a third-party platform. The Lambda function includes retry logic that will make five attempts for each invocation.
The third-party platform occasionally experiences outages that last 10-20 minutes. During outages, the Lambda function makes five retry attempts for each incoming request before failing. The request retry process generates thousands of wasted API calls and increases Lambda compute costs.
The developer needs a solution to detect third-party platform outages and to ensure that invocations of the Lambda function stop when a platform outage is detected. The developer must also ensure that the invocations resume when the platform is operational and accessible.
Which solution will meet these requirements?
Answer: A
Explanation:
Option D is correct because this is exactly the problem the circuit breaker pattern solves. When a downstream service repeatedly fails or times out, a circuit breaker stops further calls after a failure threshold is reached. This prevents the Lambda function from repeatedly calling an unavailable third-party payment platform, reducing wasted API calls and Lambda compute cost. AWS Prescriptive Guidance states that the circuit breaker pattern can prevent a caller service from retrying calls to another service after repeated failures and can also detect when the downstream service becomes functional again. A DLQ does not help because the API Gateway invocation is synchronous and the waste happens before failure. Increasing timeout or memory makes the issue worse. Exponential backoff helps reduce retry pressure but does not stop invocations during an outage.
NEW QUESTION # 512
An application uses an Amazon API Gateway API that is integrated with an AWS Lambda function. Specific API requests are returning the HTTP 504 (Gateway Timeout) error message. The Lambda function is configured with a 20-second timeout. The API Gateway integration is configured with a 15-second timeout and a rate of 10 requests every second. There are no errors in the logs for the Lambda function. Which solution will prevent the HTTP 504 error responses?
Answer: D
Explanation:
The correct answer is C because the API Gateway integration timeout is set to 15 seconds , while the Lambda function timeout is 20 seconds . If the Lambda function takes longer than 15 seconds to return a response, API Gateway will stop waiting and return an HTTP 504 Gateway Timeout to the client, even if the Lambda function itself has not yet timed out. This exactly matches the symptom described in the question.
The fact that there are no errors in the Lambda logs is also an important clue. If Lambda were failing internally, timing out at its own limit, or throwing exceptions, those events would typically appear in Lambda logs. Instead, the likely problem is that API Gateway is timing out first, before Lambda reaches its own timeout threshold or produces an error.
Option A is incorrect because reserved concurrency affects the number of concurrent executions available to Lambda, not the integration response wait time. Option B is incorrect because increasing the Lambda timeout beyond 20 seconds would not help if API Gateway is still configured to stop waiting after 15 seconds. Option D is incorrect because per-client throttling limits control request rates, not backend timeout behavior.
The proper fix is to increase the API Gateway integration timeout so that API Gateway can wait long enough for the Lambda function to complete. This ensures that requests that legitimately need more than 15 seconds can still return successful responses instead of 504 errors.
NEW QUESTION # 513
A developer is writing unit tests for a new application that will be deployed on AWS. The developer wants to validate all pull requests with unit tests and merge the code with the main branch only when all tests pass.
The developer stores the code in AWS CodeCommit and sets up AWS CodeBuild to run the unit tests. The developer creates an AWS Lambda function to start the CodeBuild task. The developer needs to identify the CodeCommit events in an Amazon EventBridge event that can invoke the Lambda function when a pull request is created or updated.
Which CodeCommit event will meet these requirements?
Answer: B
Explanation:
https://docs.aws.amazon.com/codecommit/latest/userguide/monitoring-
events.html#pullRequestSourceBranchUpdated
NEW QUESTION # 514
A developer is modifying an existing AWS Lambda function White checking the code the developer notices hardcoded parameter various for an Amazon RDS for SQL Server user name password database host and port. There also are hardcoded parameter values for an Amazon DynamoOB table. an Amazon S3 bucket, and an Amazon Simple Notification Service (Amazon SNS) topic.
The developer wants to securely store the parameter values outside the code m an encrypted format and wants to turn on rotation for the credentials. The developer also wants to be able to reuse the parameter values from other applications and to update the parameter values without modifying code.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
Explanation
This solution will meet the requirements by using AWS Secrets Manager and AWS Systems Manager Parameter Store to securely store the parameter values outside the code in an encrypted format. AWS Secrets Manager is a service that helps protect secrets such as database credentials by encrypting them with AWS Key Management Service (AWS KMS) and enabling automatic rotation of secrets. The developer can create an RDS database secret in AWS Secrets Manager and set the user name, password, database, host, and port for accessing the RDS database. The developer can also turn on secret rotation, which will change the database credentials periodically according to a specified schedule or event. AWS Systems Manager Parameter Store is a service that provides secure and scalable storage for configuration data and secrets. The developer can create Secure String parameters in AWS Systems Manager Parameter Store for the DynamoDB table, S3 bucket, and SNS topic, which will encrypt them with AWS KMS. The developer can also reuse the parameter values from other applications and update them without modifying code. Option A is not optimal because it will create encrypted Lambda environment variables for the DynamoDB table, S3 bucket, and SNS topic, which may not be reusable or updatable without modifying code. Option C is not optimal because it will create RDS database parameters in AWS Systems Manager Parameter Store, which does not support automatic rotation of secrets. Option D is not optimal because it will store the DynamoDB table, S3 bucket, and SNS topic in Amazon S3, which may introduce additional costs and complexity for accessing configuration data.
References: AWS Secrets Manager, [AWS Systems Manager Parameter Store]
NEW QUESTION # 515
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