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Exam AWS Certified Developer Associate topic 1 question 369 discussion

Exam question from Amazon's AWS Certified Developer Associate
Question #: 369
Topic #: 1
[All AWS Certified Developer Associate Questions]

A company has a three-tier application that is deployed in Amazon Elastic Container Service (Amazon ECS). The application is using an Amazon RDS for MySQL DB instance. The application performs more database reads than writes.

During times of peak usage, the application’s performance degrades. When this performance degradation occurs, the DB instance’s ReadLatency metric in Amazon CloudWatch increases suddenly.

How should a developer modify the application to improve performance?

  • A. Use Amazon ElastiCache to cache query results.
  • B. Scale the ECS cluster to contain more ECS instances.
  • C. Add read capacity units (RCUs) to the DB instance.
  • D. Modify the ECS task definition to increase the task memory.
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Suggested Answer: A 🗳️

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breathingcloud
Highly Voted 2 years, 3 months ago
Selected Answer: A
ElasticCache for read writes, adding additional read units is not possible with RDS
upvoted 5 times
tony554556
2 years, 3 months ago
" adding additional read units is not possible with RDS", thanks for that
upvoted 2 times
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Drey
Most Recent 2 years, 3 months ago
Selected Answer: A
Voting for A.
upvoted 1 times
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JagpreetLM10
2 years, 3 months ago
A. More reads then Write
upvoted 1 times
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Phinx
2 years, 3 months ago
Selected Answer: A
By implementing Caching, it will greatly help in reading performance.
upvoted 1 times
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JulietHsu
2 years, 3 months ago
Selected Answer: A
I would go with A - to cache the query results. Keyword: "The application performs more database reads than writes." Read capacity units is for DynamoDB.
upvoted 1 times
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KT_Yu
2 years, 3 months ago
Selected Answer: C
Answer should be C
upvoted 1 times
Phinx
2 years, 3 months ago
RCU is for DynamoDB. RDS is using instance type.
upvoted 3 times
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captainpike
2 years, 1 month ago
How should a developer >>>modify the application<<<
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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