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Amazon DVA-C02 Exam is an AWS Certified Developer – Associate certification exam offered by Amazon Web Services (AWS). It is designed for individuals who have experience in developing and maintaining AWS-based applications. DVA-C02 exam validates the candidate's ability to design, develop, and deploy cloud-based applications using AWS services and tools. AWS Certified Developer - Associate certification is intended for those who want to advance their career as an AWS developer and become proficient in building cloud-based applications.

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The DVA-C02 Certification Exam consists of 65 multiple-choice and multiple-response questions that are to be completed in 130 minutes. DVA-C02 exam covers a range of topics, including AWS core services, database technologies, security and compliance, and deployment and monitoring. Candidates who pass the DVA-C02 exam demonstrate their ability to develop, deploy, and maintain applications using AWS services in a cost-effective, scalable, and reliable manner. AWS Certified Developer - Associate certification is suitable for developers, DevOps engineers, and solutions architects who want to advance their careers in cloud computing and demonstrate their expertise in AWS.

Amazon AWS Certified Developer - Associate Sample Questions (Q606-Q611):

NEW QUESTION # 606
A developer is working on an ecommerce application that stores data in an Amazon RDS for MySQL cluster.
The developer needs to implement a caching layer for the application to retrieve information about the most viewed products.
Which solution will meet these requirements?

A. Edit the RDS for MySQL cluster by adding a cache node. Configure the cache endpoint instead of the cluster endpoint in the application.
B. Configure the RDS for MySQL cluster to add a standby instance in a different Availability Zone.Configure the application to read the data from the standby instance.
C. Create an Amazon ElastiCache (Redis OSS) cluster. Update the application code to use the ElastiCache (Redis OSS) cluster endpoint.
D. Create an Amazon DynamoDB Accelerator (DAX) cluster in front of the RDS for MySQL cluster.
Configure the application to connect to the DAX endpoint instead of the RDS endpoint.

Answer: C

Explanation:
To add a caching layer for frequently requested data (such as "most viewed products"), the AWS-native choice is Amazon ElastiCache, commonly using Redis for low-latency key/value caching, counters, sorted sets, and leaderboard-like patterns. Redis is particularly well-suited for ecommerce "top N" or popularity queries because it supports atomic increments and sorted sets, enabling efficient ranking updates.
Option B correctly introduces an ElastiCache (Redis OSS) cluster and updates the application to read from Redis first (cache-aside or write-through patterns) instead of hitting the RDS MySQL cluster for every request. This offloads read pressure from the database, reduces latency, and improves overall throughput.
Option A is not a valid RDS feature: you do not add a "cache node" to an RDS MySQL cluster as part of RDS itself.
Option C is incorrect because DAX is a caching layer specifically for DynamoDB, not for RDS MySQL.
Option D improves availability via Multi-AZ standby, but the standby is not for read scaling in standard RDS Multi-AZ (it's primarily for failover). It does not provide a cache and does not solve the performance needs for hot reads.

NEW QUESTION # 607
A development team wants to build a continuous integration/continuous delivery (CI/CD) pipeline. The team is using AWS CodePipeline to automate the code build and deployment. The team wants to store the program code to prepare for the CI/CD pipeline.
Which AWS service should the team use to store the program code?

A. Amazon CodeGuru
B. AWS CodeCommit
C. AWS CodeArtifact
D. AWS CodeDeploy

Answer: B

Explanation:
AWS CodeCommit is a service that provides fully managed source control for hosting secure and scalable private Git repositories. The development team can use CodeCommit to store the program code and prepare for the CI/CD pipeline. CodeCommit integrates with other AWS services such as CodePipeline, CodeBuild, and CodeDeploy to automate the code build and deployment process.

NEW QUESTION # 608
A company wants to use AWS AppConfig to gradually deploy a new feature to 15% of users to test the feature before a full deployment.
Which solution will meet this requirement with the LEAST operational overhead?

A. Create separate AWS AppConfig feature flags for both groups of users. Configure the flags to target
15% of users.
B. Set up a custom script within the application to randomly select 15% of users. Assign a flag for the new feature to the selected users.
C. Create an AWS AppConfig feature flag. Define a variant for the new feature, and create a rule to target
15% of users.
D. Use AWS AppConfig to create a feature flag without variants. Implement a custom traffic-splitting mechanism in the application code.

Answer: C

Explanation:
AWS AppConfig Feature Flags are designed to release features safely with minimal code changes. The lowest operational overhead approach is to use a single feature flag and configure it to deliver the feature to a percentage of users through built-in targeting rules and variants.
With option C, the developer creates one AppConfig feature flag and defines a variant that represents the new feature behavior (for example, enabled=true or a "newExperience" variant). Then the developer creates a rule in AppConfig to target 15% of users. AppConfig feature flags support rules that can evaluate attributes (such as user IDs or other contextual attributes supplied by the application) and apply percentage-based rollout. This avoids building and maintaining custom rollout logic in the application.
Option A and D both require implementing and maintaining custom traffic splitting in code, which increases complexity and operational burden, and risks inconsistent behavior across clients/services.
Option B adds extra configuration overhead and complexity by managing multiple feature flags for "groups" instead of using a single flag with a variant and rule. A single flag with variants is the clean, scalable pattern.
Therefore, create one AppConfig feature flag, define a variant, and configure a rule to target 15% of users.

NEW QUESTION # 609
A developer is developing an application that uses signed requests (Signature Version 4) to call other AWS services. The developer has created a canonical request, has created the string to sign, and has calculated signing information.
Which methods could the developer use to complete a signed request? (Choose two.)

A. Add the signature to an HTTP header that is named WWW-Authenticate.
B. Add the signature to a session cookie.
C. Add the signature to an HTTP header that is named Authorization.
D. Add the signature to a query string parameter that is named X-Amz-Signature.
E. Add the signature to an HTTP header that is named Authentication.

Answer: C,D

NEW QUESTION # 610
A developer is building an application and wants to quickly test the effectiveness of a function before committing the code. Which solution will meet this requirement with the LEAST effort?

A. Add a report group that has test case information to the buildspec file of an AWS CodeBuild project.
B. Add a report group that has test case information to the appspec file of an AWS CodeBuild project.
C. Highlight the function within the application code. Use the Amazon Q Developer agent to generate a unit test.
D. Use Amazon Q Developer to review the code. Use the results of the review as context in a follow-up prompt to generate a unit test.

Answer: C

Explanation:
Amazon Q Developer (formerly part of CodeWhisperer) is an AI-powered assistant integrated into IDEs (like VS Code or JetBrains). It can generate unit tests, explain code, and suggest improvements. Highlighting a specific function and asking the agent to generate a unit test is the fastest, lowest-effort way for a developer to test a function before committing code, as it happens directly within the development workflow.

NEW QUESTION # 611
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