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PCDE Practice Question: Manage a solution that can span multiple database technologies

A team is managing a Memorystore for Redis instance that needs to scale to handle increased traffic. They want to ensure high availability and the ability to distribute data across multiple nodes. Which three actions should they take? (Choose THREE.)

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

Enable Redis Cluster on the instance to shard data across multiple nodes

Memorystore for Redis offers vertical scaling (changing tier) and horizontal scaling via Redis Cluster (enabling clustering). For HA, they can create a standard tier instance with replication (a read replica).

Answer analysis

Option-by-option breakdown

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

  • Use Cloud Storage snapshots for persistence

    Why it's wrong here

    Snapshots are for backup, not scaling.

  • Enable Redis Cluster on the instance to shard data across multiple nodes

    Why this is correct

    Redis Cluster provides horizontal scaling and sharding.

  • Upgrade the instance to a higher memory size by changing the tier

    Why this is correct

    Vertical scaling is possible by changing the tier.

  • Create a read replica in a different zone for high availability

    Why this is correct

    Standard tier includes replication for HA.

  • Enable AOF persistence

    Why it's wrong here

    AOF persistence is not available in Memorystore; also not for scaling.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This PCDE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCDE exam.