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Amazon DVA-C02 (AWS Certified Developer – Associate) exam is a certification exam designed for individuals who want to demonstrate their expertise in developing and deploying applications on the Amazon Web Services (AWS) platform. AWS Certified Developer - Associate certification is ideal for developers who have experience in programming languages such as Python, Java, and Ruby, and are looking to build, deploy, and manage applications using AWS services.
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Amazon DVA-C02 (AWS Certified Developer - Associate) certification exam is an industry-recognized certification for developers who want to validate their expertise in developing and maintaining applications on the Amazon Web Services (AWS) platform. AWS Certified Developer - Associate certification is designed for professionals who have experience in designing and developing cloud-based applications using AWS services.
NEW QUESTION # 555
A developer is creating an AWS Serverless Application Model (AWS SAM) template. The AWS SAM template contains the definition of multiple AWS Lambda functions, an Amazon S3 bucket, and an Amazon CloudFront distribution. One of the Lambda functions runs on Lambda@Edge in the CloudFront distribution. The S3 bucket is configured as an origin for the CloudFront distribution.
When the developer deploys the AWS SAM template in the eu-west-1 Region, the creation of the stack fails.
Which of the following could be the reason for this issue?
Answer: D
Explanation:
It must be deployed to a region where Lambda@Edge is supported, such as us-east-1.
NEW QUESTION # 556
A developer is building an application integrating an Amazon API Gateway with an AWS Lambda function. When calling the API, the developer receives the following error:
Wed Nov 08 01:13:00 UTC 2017 : Method completed with status: 502
What should the developer do to resolve the error?
Answer: B
NEW QUESTION # 557
A developer has an application that asynchronously invokes an AWS Lambda function. The developer wants to store messages that resulted in failed invocations of the Lambda function so that the application can retry the call later.
What should the developer do to accomplish this goal with the LEAST operational overhead?
Answer: C
Explanation:
For asynchronous Lambda invocations, AWS provides built-in failure handling options that require minimal code and minimal operational work. When an async invocation fails (after Lambda's internal retry behavior), the event can be sent to a dead-letter queue (DLQ) so it is not lost. A DLQ is the standard mechanism for capturing events that could not be processed successfully, preserving the original payload for later inspection and reprocessing.
Using a DLQ (typically Amazon SQS or Amazon SNS) gives durable storage of failed events and decouples failure recovery from the main execution path. The developer can later re-drive the messages by building a simple replay process, such as moving messages from the DLQ back to the original event source or invoking the function again with the stored payloads. This aligns with the requirement: "store messages that resulted in failed invocations so the application can retry later." Among the options, C is the only one that uses Lambda's native async failure capture mechanism. Options A and B introduce unnecessary complexity and do not reliably store the original failed invocation payloads as a first-class workflow (CloudWatch Logs is not a message queue, and EventBridge#SNS doesn't automatically capture only failed events from Lambda async invocations). Option D changes the architecture to an SQS pull model for the Lambda function; while valid, it is more than needed and adds design/operational considerations (polling, batching, visibility timeouts, DLQ configuration on the queue, etc.) compared with simply enabling DLQ support for async invokes.
Therefore, the least operational overhead solution is C: configure a dead-letter queue for the Lambda function's asynchronous invocations so failed events are stored for later retry.
NEW QUESTION # 558
A company has an application that runs as a series of AWS Lambda functions. Each Lambda function receives data from an Amazon Simple Notification Service (Amazon SNS) topic and writes the data to an Amazon Aurora DB instance.
To comply with an information security policy, the company must ensure that the Lambda functions all use a single securely encrypted database connection string to access Aurora.
Which solution will meet these requirements?
Answer: B
Explanation:
AWS Systems Manager Parameter Store offers a more centralized way to manage encrypted secrets across multiple services than Lambda environment variables, making it a better fit for this scenario.
NEW QUESTION # 559
A developer has an application that can upload tens of thousands of objects per second to Amazon S3 in parallel within a single AWS account. As part of new requirements, data stored in S3 must use server-side encryption with AWS KMS keys (SSE-KMS). After creating this change, performance of the application is slower. Which of the following is MOST likely the cause of the application latency?
Answer: A
Explanation:
When using SSE-KMS with Amazon S3, each PUT operation requires an AWS KMS Encrypt API call. If an application uploads tens of thousands of objects per second, it can exceed the KMS request rate limits, leading to throttling and increased latency. This is the most likely cause of the performance degradation.
NEW QUESTION # 560
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