A software development company is using Amazon Aurora MySQL DB clusters for several use cases, including development and reporting. These use cases place unpredictable and varying demands on the Aurora DB clusters, and can cause momentary spikes in latency. System users run ad-hoc queries sporadically throughout the week. Cost is a primary concern for the company, and a solution that does not require significant rework is needed. Which solution meets…

QuestionsCategory: DBS-C01A software development company is using Amazon Aurora MySQL DB clusters for several use cases, including development and reporting. These use cases place unpredictable and varying demands on the Aurora DB clusters, and can cause momentary spikes in latency. System users run ad-hoc queries sporadically throughout the week. Cost is a primary concern for the company, and a solution that does not require significant rework is needed. Which solution meets…
Admin Staff asked 7 months ago
A software development company is using Amazon Aurora MySQL DB clusters for several use cases, including development and reporting. These use cases place unpredictable and varying demands on the Aurora DB clusters, and can cause momentary spikes in latency. System users run ad-hoc queries sporadically throughout the week. Cost is a primary concern for the company, and a solution that does not require significant rework is needed.
Which solution meets these requirements?

A. Create new Aurora Serverless DB clusters for development and reporting, then migrate to these new DB clusters.

B. Upgrade one of the DB clusters to a larger size, and consolidate development and reporting activities on this larger DB cluster.

C. Use existing DB clusters and stop/start the databases on a routine basis using scheduling tools.

D. Change the DB clusters to the burstable instance family.








 

Suggested Answer: D

Community Answer: A




This question is in DBS-C01 AWS Certified Database – Specialty Exam
For getting AWS Certified Database – Specialty Certificate


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