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Google PCA Practice Question: Managing Implementation and Ensuring Solution and Operations Reliability

An organization uses Cloud Spanner with a multi-region configuration to achieve 99.999% availability for their global user base. They notice an increase in write latency during peak hours. Which action would MOST effectively reduce write latency?

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 more nodes to the Spanner instance

In Cloud Spanner, write latency can be reduced by adding more nodes (increasing throughput) or optimizing schema. Adding nodes provides more compute and I/O capacity, reducing queuing and latency.

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 a stronger read consistency level

    Why it's wrong here

    Stronger consistency (e.g., strong reads) may increase latency; it does not reduce write latency.

  • Change from a multi-region to a single-region configuration

    Why it's wrong here

    This would reduce write latency due to less replication, but would compromise global availability and durability.

  • Enable follower reads

    Why it's wrong here

    Follower reads reduce read latency but do not affect write latency.

  • Add more nodes to the Spanner instance

    Why this is correct

    Adding nodes increases throughput and reduces write latency by providing more resources.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This PCA 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 PCA exam.