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Amazon DVA-C02 is the latest version of the AWS Certified Developer - Associate exam. AWS Certified Developer - Associate certification targets professionals who have experience in developing and maintaining AWS-based applications. DVA-C02 exam validates their skills and knowledge in designing, developing, deploying, and maintaining applications on AWS. The updated version of the exam reflects the latest AWS services and features, including AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon SQS.

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Amazon AWS Certified Developer - Associate Sample Questions (Q623-Q628):

NEW QUESTION # 623
A developer is using AWS CloudFormation to deploy an AWS Lambda function. The developer needs to set the Lambda function's timeout value based on the environment parameter of the template. The template contains mappings of EnvironmentData for each environment's timeout value. The environment parameter and EnvironmentData mappings are as follows:
Environment parameter:
EnvironmentData mappings:
Which statement will meet these requirements?

Answer: A

NEW QUESTION # 624
A developer has created an AWS Lambda function that is written in Python. The Lambda function reads data from objects in Amazon S3 and writes data to an Amazon DynamoDB table. The function is successfully invoked from an S3 event notification when an object is created. However, the function fails when it attempts to write to the DynamoDB table.
What is the MOST likely cause of this issue?

A. The Lambda function's concurrency limit has been exceeded.
B. The Lambda function does not have IAM permissions to write to DynamoDB.
C. DynamoDB table requires a global secondary index (GSI) to support writes.
D. The DynamoDB table is not running in the same Availability Zone as the Lambda function.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_examples_lambda-access-dynamodb.ht

NEW QUESTION # 625
A company is running a custom application on a set of on-premises Linux servers that are accessed using Amazon API Gateway. AWS X-Ray tracing has been enabled on the API test stage.
How can a developer enable X-Ray tracing on the on-premises servers with the LEAST amount of configuration?

A. Install and run the X-Ray SDK on the on-premises servers to capture and relay the data to the X-Ray service.
B. Capture incoming requests on-premises and configure an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the PutTelemetryRecords API call.
C. Install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the X-Ray service.
D. Capture incoming requests on-premises and configure an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the PutTraceSegments API call.

Answer: C

Explanation:
The X-Ray daemon is a software that collects trace data from the X-Ray SDK and relays it to the X-Ray service. The X-Ray daemon can run on any platform that supports Go, including Linux, Windows, and macOS. The developer can install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the X-Ray service with minimal configuration. The X-Ray SDK is used to instrument the application code, not to capture and relay data. The Lambda function solutions are more complex and require additional configuration.

NEW QUESTION # 626
A company is implementing an application on Amazon EC2 instances. The application needs to process incoming transactions. When the application detects a transaction that is not valid, the application must send a chat message to the company's support team. To send the message, the application needs to retrieve the access token to authenticate by using the chat API.
A developer needs to implement a solution to store the access token. The access token must be encrypted at rest and in transit. The access token must also be accessible from other AWS accounts.
Which solution will meet these requirements with the LEAST management overhead?

A. Use an AWS Systems Manager Parameter Store SecureString parameter that uses an AWS Key Management Service (AWS KMS) AWS managed key to store the access token. Add a resource-based policy to the parameter to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Parameter Store. Retrieve the token from Parameter Store with the decrypt flag enabled. Use the decrypted access token to send the message to the chat.
B. Use AWS Secrets Manager with an AWS Key Management Service (AWS KMS) customer managed key to store the access token. Add a resource-based policy to the secret to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Secrets Manager. Retrieve the token from Secrets Manager. Use the decrypted access token to send the message to the chat.
C. Encrypt the access token by using an AWS Key Management Service (AWS KMS) customer managed key. Store the access token in an Amazon DynamoDB table. Update the IAM role of the EC2 instances with permissions to access DynamoDB and AWS KMS. Retrieve the token from DynamoDB. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the message to the chat.
D. Encrypt the access token by using an AWS Key Management Service (AWS KMS) AWS managed key. Store the access token in an Amazon S3 bucket. Add a bucket policy to the S3 bucket to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Amazon S3 and AWS KMS. Retrieve the token from the S3 bucket. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the massage to the chat.

Answer: C

NEW QUESTION # 627
A company runs a highly available application in multiple AWS Regions. The application requires access to a secret value that is stored in AWS Secrets Manager. The secret value must be available in all Regions where the application operates. The secret value must remain consistent across the Regions.
Which solution will meet these requirements with the LEAST operational overhead?

A. Configure the application in all Regions to retrieve the secret value directly from the primary Region by using the secret's ARN. Configure the application to cache the secret value locally.
B. Configure an AWS Lambda function to copy the secret to each Region. Configure Amazon EventBridge to trigger the Lambda function to update the copies of the secret when the primary secret is updated.
C. Create a new secret in each Region. Ensure that the application can access the appropriate secret ARN in each Region where the secret is replicated.
D. Enable replication for the secret in the primary Region. Ensure that the application can access the appropriate secret ARN in each Region where the secret is replicated.

Answer: D

Explanation:
The requirement is for a single secret value to be available in multiple AWS Regions while remaining consistent across those Regions, with the least operational overhead. AWS Secrets Manager provides a managed capability for this use case: secret replication (also referred to as multi-Region secrets). When replication is enabled from a primary Region, Secrets Manager automatically creates and maintains synchronized replicas of the secret in the selected secondary Regions. Updates to the primary secret are propagated to the replicas so the secret value remains consistent across Regions.
This approach (option C) minimizes operational effort because AWS manages the replication workflow, consistency, and the lifecycle of replicas. The application in each Region can retrieve the secret from the local Region endpoint of Secrets Manager by referencing the Region-appropriate secret ARN, improving latency and reducing cross-Region dependency. It also improves resilience: if a Region has issues, workloads in another Region can still read the replicated secret locally.
Option A recreates managed replication with custom glue (Lambda + EventBridge), which adds code, scheduling, error handling, permissions, retries, and monitoring-higher operational overhead and more failure modes. Option B introduces a cross-Region runtime dependency on the primary Region and increases latency; local caching also risks stale secret values during rotations/updates unless carefully managed, and it reduces resilience if the primary Region is impaired. Option D (independent secrets per Region) increases operational overhead and directly risks inconsistency, because keeping values synchronized becomes a manual or custom automated process.
Therefore, C is the best solution: enable Secrets Manager replication in the primary Region and have applications in each Region read from their local replicated secret ARN to achieve consistent, multi-Region availability with minimal operational work.

NEW QUESTION # 628
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