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Data Store ManagementmediumMultiple ChoiceObjective-mapped

DEA-C01 Data Store Management Practice Question

A data engineer is managing an Amazon Redshift cluster used for analytics. The cluster has a single node of type dc2.large. The engineer notices that queries are slowing down as data volume grows. The cluster's disk space is at 70% usage. The engineer needs to improve query performance and accommodate future growth. The budget allows for moderate cost increase. Which action should the engineer take?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Add another dc2.large node to the cluster.

The dc2.large node is a dense compute node with limited storage. Adding another dc2.large node (option A) increases both compute capacity and storage, which directly addresses the slowdown and provides room for growth at a moderate cost. Option B (resizing to a single ds2.xlarge node) increases storage but may not improve compute performance proportionally, as ds2 nodes are dense storage. Option C (single ra3.xlplus with managed storage) separates compute and storage but still has a single compute endpoint, and the cost is higher. Option D (concurrency scaling) adds cost without resolving the single-node bottleneck. Therefore, option A is the best choice.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Add another dc2.large node to the cluster.

    Why this is correct

    Adding nodes increases both compute and storage capacity for better performance.

  • Resize the cluster to a single ds2.xlarge node.

    Why it's wrong here

    ds2 is dense storage, may not improve compute performance as much.

  • Migrate the cluster to a single ra3.xlplus node with managed storage.

    Why it's wrong here

    ra3 nodes are more expensive and single node may still be a bottleneck.

  • Enable concurrency scaling and maintain the current cluster.

    Why it's wrong here

    Concurrency scaling adds cost and does not address disk space or single node performance.

Visual reference

Client Recursive Resolver Root DNS (13 root servers) TLD DNS (.com, .org, …) Authoritative example.com query IP addr answer

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