What is the Amazon DVA-C02 exam?

The Amazon DVA-C02 is the AWS Certified Developer - Associate exam. It validates your ability to develop, deploy, secure, and troubleshoot applications on AWS.

Who should take the AWS Certified Developer - Associate exam?

This exam is for developers who work with AWS services and want to prove their cloud application development skills. It is suitable for candidates aiming to grow in AWS-focused development roles.

Is the DVA-C02 exam difficult?

The difficulty depends on your hands-on AWS experience and preparation level. Candidates who understand AWS development services, security, deployment, and troubleshooting usually find it more manageable.

Can I pass with only braindumps?

Braindumps alone are not a complete replacement for real understanding. They are best used as a review tool along with hands-on practice and topic study.

Do I need hands-on experience to pass DVA-C02?

Yes, hands-on experience is very helpful because the exam focuses on practical AWS development scenarios. Real practice makes it easier to understand service behavior and answer scenario-based questions.

Are QA4Exam.com dumps and practice tests enough for first attempt success?

They are designed to support first attempt success by providing actual questions and answers, verified content, and exam-style practice. For best results, use them with review and hands-on preparation.

What format do the QA4Exam.com materials use?

QA4Exam.com offers an Exam PDF and an Online Practice Test. These formats help you study offline, practice in a simulated exam environment, and check your readiness before test day.

DVA-C02 Dumps for Amazon AWS Developer Associate

#	Exam Topics	Sub-Topics	Approximate Weightage (%)
1	Development with AWS Services	SDK usage, Lambda integration, API interactions, application data storage	40%
2	Security	IAM roles and policies, authentication, authorization, secrets management	20%
3	Deployment	CI/CD pipelines, application packaging, versioning, deployment strategies	20%
4	Troubleshooting and Optimization	Monitoring and logging, performance tuning, error analysis, cost optimization	20%

Question 1

A company stores its data in data tables in a series of Amazon S3 buckets. The company received an alert that customer credit card information might have been exposed in a data table on one of the company's public applications. A developer needs to identify all potential exposures within the application environment.

Which solution will meet these requirements?

AUse Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S30bject/Personal finding type.

BUse Amazon Made to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S30bject/Financial finding type.

CUse Amazon Made to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S30bject/Personal finding type.

DUse Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S30bject/Financial finding type.

Correct answer: B

Requirement Summary:

Customer credit card data may be exposed

Data is stored in Amazon S3

Developer must identify all exposure risks

Tool to Use:

Amazon Macie is designed to:

Automatically scan S3 for sensitive data

Detect financial information, PII, credentials, etc.

Finding Type Mapping:

Credit card data maps to: SensitiveData:S3Object/Financial

Evaluate Options:

A . Athena + filtering

Athena is a query engine; it doesn't detect sensitive data automatically

B . Macie + Financial finding type

Correct

Designed for this use case

C . Macie + Personal finding type

Personal maps to names, addresses, etc., not credit cards

D . Athena + Financial

Again, Athena can't classify data -- it only queries structured data

Macie Overview: https://docs.aws.amazon.com/macie/latest/userguide/what-is-macie.html

Finding Types: https://docs.aws.amazon.com/macie/latest/user/findings-types.html

Financial finding type: SensitiveData:S3Object/Financial

Question 2

A company is using an AWS Lambda function to process records from an Amazon Kinesis data stream. The company recently observed slow processing of the records. A developer notices that the iterator age metric for the function is increasing and that the Lambda run duration is constantly above normal.

Which actions should the developer take to increase the processing speed? (Choose two.)

AIncrease the number of shards of the Kinesis data stream.

BDecrease the timeout of the Lambda function.

CIncrease the memory that is allocated to the Lambda function.

DDecrease the number of shards of the Kinesis data stream.

EIncrease the timeout of the Lambda function.

Correct answer: A, C

Increasing the number of shards of the Kinesis data stream will increase the throughput and parallelism of the data processing. Increasing the memory that is allocated to the Lambda function will also increase the CPU and network performance of the function, which will reduce the run duration and improve the processing speed. Option B is not correct because decreasing the timeout of the Lambda function will not affect the processing speed, but may cause some records to fail if they exceed the timeout limit. Option D is not correct because decreasing the number of shards of the Kinesis data stream will decrease the throughput and parallelism of the data processing, which will slow down the processing speed. Option E is not correct because increasing the timeout of the Lambda function will not affect the processing speed, but may increase the cost of running the function.

Question 3

An application uses Amazon API Gateway integrated with an AWS Lambda function. Some API requests return HTTP 504 (Gateway Timeout) errors.

The Lambda function timeout is set to 20 seconds. The API Gateway integration timeout is 15 seconds. There are no errors in the Lambda logs.

Which solution will prevent the HTTP 504 errors?

AIncrease the reserved concurrency of the Lambda function.

BIncrease the timeout of the Lambda function.

CIncrease the timeout of the API Gateway integration.

DIncrease the per-client throttling limit.

Correct answer: C

Amazon API Gateway has a hard integration timeout that determines how long it waits for a backend response. If the backend (Lambda) does not respond within this time, API Gateway returns an HTTP 504 error to the client.

In this scenario, the Lambda function timeout is longer (20 seconds) than the API Gateway integration timeout (15 seconds). AWS documentation states that API Gateway will terminate the request once its timeout is exceeded, even if Lambda continues executing successfully. This explains why there are no Lambda errors despite 504 responses.

Increasing the Lambda timeout (Option B) does not help because API Gateway times out first. Reserved concurrency (Option A) and throttling limits (Option D) are unrelated to request duration.

The correct solution is to increase the API Gateway integration timeout so that it exceeds the maximum expected Lambda execution time. This ensures API Gateway waits long enough for the Lambda response.

Therefore, increasing the API Gateway timeout prevents HTTP 504 errors.

Question 4

A developer owns and supports an application that has database credentials that are stored in environment variables for AWS Lambda functions. The developer needs an alternate storage method for the credentials instead of environment variables in plaintext. Which solution will handle the credentials MOST securely?

AStore the database credentials as a secret in AWS Secrets Manager. Set the secret's Amazon Resource Name (ARN) as the value of an environment variable. Use the AWS Parameters and Secrets Lambda Extension to retrieve the credentials in the Lambda function.

BUse base64 encoding for the database credentials. Include the database credentials into the Lambda function's source code as part of a build process. Update the Lambda function's code to decode the credentials before the credentials are used.

CStore the database credentials as a string type parameter in the AWS Systems Manager Parameter Store. Set the parameter's Amazon Resource Name (ARN) as the value of an environment variable. Use the AWS Parameters and Secrets Lambda Extension to retrieve the credentials from the Lambda function.

DUse AWS CloudFormation to deploy the application. Ensure that the NoEcho property is set to true for the parameters that contain the database credentials.

Correct answer: A

AWS Secrets Manager is specifically designed for sensitive information like database credentials. It supports automatic rotation and cross-account access. Using the 'AWS Parameters and Secrets Lambda Extension' is the modern, high-performance way to retrieve secrets. It caches the secret locally in the Lambda execution environment, reducing latency and cost (API call volume) while ensuring the credentials are not stored in plaintext in environment variables or source code.

Question 5

A developer is deploying an AWS Lambda function that writes to Amazon DynamoDB. Amazon CloudWatch metrics for the Lambda function show that errors have occurred during some invocations of the function. However, there are no entries available in the CloudWatch Logs for the function. The source code for the function shows that the function writes log data before saving data. What should the developer do to address the missing CloudWatch log entries for the Lambda function?

AAssign permissions to the Lambda function's execution role to send logs to CloudWatch.

BTurn on CloudWatch Lambda Insights. Redeploy the Lambda function.

CUse AWS X-Ray. Turn on active tracing.

DAdd CloudWatch as the trusted identity to the Lambda function's execution role.

Correct answer: A

The correct answer is A because AWS Lambda requires permissions in the function's execution role to create log groups, create log streams, and put log events into Amazon CloudWatch Logs. If the Lambda function is throwing errors but there are no CloudWatch log entries, the most likely cause is that the execution role does not include the necessary logging permissions. AWS documentation states that Lambda automatically sends logs from function code and the execution environment to CloudWatch Logs, but this behavior depends on the function's IAM role having permissions such as logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents.

This aligns with the scenario because the source code already attempts to write logs before saving data to DynamoDB. If the function is invoked and errors are visible in CloudWatch metrics, but logs never appear, then logging is failing before or during delivery to CloudWatch Logs. Assigning the proper IAM permissions resolves that problem directly.

Option B is incorrect because CloudWatch Lambda Insights provides enhanced monitoring and performance telemetry, but it does not replace the basic permissions required for CloudWatch Logs delivery. Option C is incorrect because AWS X-Ray helps trace requests and diagnose latency or service interactions, but it does not solve missing log stream permissions. Option D is incorrect because CloudWatch does not need to be added as a trusted principal to the Lambda execution role; the trusted entity for that role is the Lambda service.

Therefore, the developer should update the Lambda execution role to include the required CloudWatch Logs permissions.

DVA-C02 Exam Dumps and Practice Questions

Amazon DVA-C02 Dumps - Pass AWS Certified Developer - Associate Exam in 2026

Actual Amazon DVA-C02 Exam Questions

Unlock all Amazon DVA-C02 questions

How QA4Exam.com Helps You Pass

Frequently Asked Questions