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Google PCA Practice Question: Analysing and Optimising Technical and Business Processes

A company uses Cloud SQL for PostgreSQL and experiences connection spikes that cause connection limits to be exceeded. They need a solution to manage connection pooling. Which approach should they 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

Configure PgBouncer on a separate Compute Engine instance to pool connections

Cloud SQL Auth Proxy handles authentication and encryption, but not pooling. PgBouncer is a lightweight connection pooler for PostgreSQL. Cloud SQL does not natively support ProxySQL for PostgreSQL. Scaling up vCPUs increases connection limits but does not pool connections efficiently.

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 ProxySQL to pool connections

    Why it's wrong here

    ProxySQL is for MySQL, not PostgreSQL.

  • Increase the number of vCPUs on the Cloud SQL instance

    Why it's wrong here

    Scaling up increases max connections but does not pool; spikes may still exceed limits.

  • Use Cloud SQL Auth Proxy with connection pooling enabled

    Why it's wrong here

    Cloud SQL Auth Proxy does not provide connection pooling; it provides secure connectivity.

  • Configure PgBouncer on a separate Compute Engine instance to pool connections

    Why this is correct

    PgBouncer is a PostgreSQL connection pooler that can be deployed alongside Cloud SQL.

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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.