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Aws Developer Associate Dva-C02 Questions And Answers Verified And Well Detailed Answers Plus Rationales Guaranteed Pass Latest Exam Update Exam Prep Study Guide Practice Test| Instant Download

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This study guide gives you 49 practice questions for the AWS Developer Associate DVA-C02 exam, each with a clear rationale so you understand why the answer is right. Topics include serverless apps with Lambda and DynamoDB, IAM and encryption, CI/CD pipelines, CloudWatch and X-Ray, and messaging with SQS, SNS, and Kinesis. Use it to spot weak areas and build confidence before exam day.

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AWS DEVELOPER - ASSOCIATE QUESTIONS AND ANSWERS VERIFIED
AND WELL DETAILED ANSWERS PLUS RATIONALES GUARANTEED PASS
LATEST EXAM UPDATE EXAM PREP STUDY GUIDE PRACTICE TEST
49 QUESTIONS




TABLE OF CONTENTS

# TOPIC

1 Design and implement serverless applications using AWS Lambda, API Gateway, DynamoDB, and
event-driven patterns

2 Apply secure coding practices, IAM policies, and encryption mechanisms to protect data at rest and in
transit

3 Automate deployment pipelines using AWS CodeCommit, CodeBuild, CodeDeploy, and CloudFormation,
including rollback strategies

4 Troubleshoot and optimize application performance using CloudWatch, X-Ray, and AWS SDKs

5 Integrate messaging and streaming services (SQS, SNS, Kinesis) for resilient, decoupled architectures

6 AWS Developer

7 Associate QUESTIONS AND ANSWERS VERIFIED AND WELL DETAILED ANSWERS PLUS
RATIONALES GUARANTEED PASS LATEST EXAM UPDATE EXAM PREP STUDY GUIDE PRACTICE
TEST

8 Foundations of AWS Certified Developer - Associate (DVA-C02)

9 Applied AWS Certified Developer - Associate (DVA-C02)

10 Advanced AWS Certified Developer - Associate (DVA-C02)

11 AWS Certified Developer - Associate (DVA-C02) Review


ABSTRACT




Page 1

,This study document brings together 49 carefully worded exam questions drawn from AWS
Developer - Associate QUESTIONS AND ANSWERS VERIFIED AND WELL DETAILED
ANSWERS PLUS RATIONALES GUARANTEED PASS LATEST EXAM UPDATE EXAM PREP
STUDY GUIDE PRACTICE TEST, with the strongest emphasis placed on Design and implement
serverless applications using AWS Lambda, API Gateway, DynamoDB, and event-driven patterns,
Apply secure coding practices, IAM policies, and encryption mechanisms to protect data at rest
and in transit, Automate deployment pipelines using AWS CodeCommit, CodeBuild, CodeDeploy,
and CloudFormation and including rollback strategies. Every item follows the wording style and
level of reasoning you meet in the real paper, and each one is paired with a clear rationale so the
correct choice is never a guess. Work through the set at your own pace, mark the questions that
slow you down, then come back to them until the reasoning feels automatic. Learners who revise
this way walk into the exam room recognising the pattern behind the questions instead of meeting
them for the first time. Keep going - steady, honest practice is what turns a difficult paper into a
comfortable pass.




Q1 DESIGN AND IMPLEMENT SERVERLESS APPLICATIONS USING AWS LAMBDA, API
GATEWAY, DYNAMODB, AND EVENT-DRIVEN PATTERNS
A developer is building a serverless application that processes orders. The order
processing Lambda function must read from a DynamoDB table and then publish
an event to an SNS topic. To ensure exactly-once processing and avoid duplicate
charges, which combination of features should be implemented? (Choose the best
answer.)
A. Use DynamoDB Streams with Lambda event source mapping and enable function-level
concurrency limits.

B. Use DynamoDB transactions with a conditional write to record a unique order ID, and use
SNS FIFO topic with deduplication. CORRECT

C. Use SQS FIFO queue as an intermediary between DynamoDB and Lambda, and enable
content-based deduplication.

D. Use Lambda destinations to route failures to an SQS dead-letter queue and enable
idempotency by storing processed order IDs in ElastiCache.

RATIONALE: DynamoDB transactions with a conditional write ensure atomicity and idempotency
by preventing duplicate order processing, while SNS FIFO with deduplication ensures
exactly-once delivery to subscribers. Option A lacks idempotency guarantees; Option C
introduces a queue but does not prevent duplicate processing from DynamoDB reads; Option D
handles failures but not duplicate prevention at the source.




Page 2

, Q2 DESIGN AND IMPLEMENT SERVERLESS APPLICATIONS USING AWS LAMBDA, API
GATEWAY, DYNAMODB, AND EVENT-DRIVEN PATTERNS
A company uses AWS CodeDeploy to deploy a new version of an application to an
Auto Scaling group of EC2 instances. The deployment must minimize downtime
and allow for quick rollback if errors are detected. Which deployment
configuration and rollback trigger should be used?
A. OneAtATime with rollback on failed deployment only.

B. HalfAtATime with rollback on CloudWatch alarm threshold breach.

C. AllAtOnce with rollback on failed deployment and CloudWatch alarm.

D. Blue/green deployment with rollback on CloudWatch alarm and original revision
redeployment. CORRECT

RATIONALE: Blue/green deployment shifts traffic only after new instances pass health checks,
minimizing downtime and enabling immediate rollback to the original revision if alarms trigger.
OneAtATime and HalfAtATime cause partial downtime; AllAtOnce risks full outage; rollback on
failed deployment alone does not catch performance regressions.




Q3 DESIGN AND IMPLEMENT SERVERLESS APPLICATIONS USING AWS LAMBDA, API
GATEWAY, DYNAMODB, AND EVENT-DRIVEN PATTERNS
A developer needs to implement a caching layer for an application using Amazon
ElastiCache for Redis. The application performs frequent reads of slowly changing
data. Which caching strategy and configuration will provide the best performance
while ensuring data consistency?
A. Lazy loading with TTL set to 24 hours and write-through on updates. CORRECT

B. Write-through caching with no TTL and Redis persistence enabled.

C. Lazy loading with short TTL and use of Redis sorted sets for expiration.

D. Write-behind caching with Redis AOF persistence and periodic snapshots.

RATIONALE: Lazy loading populates cache on demand, and a 24-hour TTL balances freshness
with performance; write-through on updates keeps cache consistent. Write-through without TTL
(B) can cause stale data; short TTL (C) increases misses; write-behind (D) risks data loss on
failure.




Page 3

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Uploaded on
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