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Google Cloud PCA Sample Questions with Explanations

Google Cloud PCA sample questions with explanations, traps, topic labels, and IT Mastery route links.

These original sample questions are designed to help you check how the exam topics appear in decision-style prompts. They are not taken from the live exam.

Use these sample questions as a guided self-assessment for Google Cloud Professional Cloud Architect (PCA) topics such as requirement analysis, service selection, network design, IAM, resilience, migration, operations, and cost tradeoffs. The strongest answers usually start with constraints before choosing a product.

Where these questions fit in the PCA guide

The sample set below is part of the Google Cloud PCA guide path:

PCA architecture sample questions

Work through each prompt before opening the explanation. For architect questions, track business requirement, failure domain, security boundary, operations model, and cost before selecting the service.


Question 1

Topic: Choosing a global frontend pattern

A retail company runs a stateless web application in multiple Google Cloud regions. Users are worldwide, latency matters, and the design must continue serving traffic if one region becomes unavailable. Which frontend pattern is strongest?

  • A. Place all traffic behind a regional internal load balancer in the primary region.
  • B. Use Cloud DNS round-robin records only and manually remove failed regions during incidents.
  • C. Use a global external Application Load Balancer with regional backends and health checks.
  • D. Deploy one large Compute Engine instance and rely on automatic restart.

Best answer: C

Explanation: The scenario asks for global user reach, latency-aware routing, and regional failure handling. A global external Application Load Balancer with healthy regional backends is the strongest managed pattern for this frontend requirement.

Why the other choices are weaker:

  • A is regional and internal, so it does not satisfy the worldwide public frontend requirement.
  • B relies on DNS and manual operations instead of active health-based load balancing.
  • D creates a single-instance failure and scaling bottleneck.

What this tests: Global load balancing, health checks, regional resilience, and frontend architecture fit.

Related topics: Load balancing; Global architecture; High availability; Compute


Question 2

Topic: Least-privilege service access

A workload running on Google Kubernetes Engine needs to read objects from one Cloud Storage bucket. Security requires workload-specific identity, no long-lived key files, and minimum required permissions. What should the architect recommend?

  • A. Grant project Owner to every developer so access problems are easier to troubleshoot.
  • B. Use Workload Identity Federation for GKE and bind the Kubernetes service account to a Google service account with bucket-level read permissions.
  • C. Store a service account JSON key in the container image and rotate it once a year.
  • D. Make the bucket public-read and rely on difficult object names.

Best answer: B

Explanation: The design avoids long-lived keys, ties permissions to the workload identity, and scopes access to the required bucket action. That matches the security and operational requirements in the stem.

Why the other choices are weaker:

  • A violates least privilege and grants broad human access.
  • C creates key-management risk and embeds credentials in an artifact.
  • D exposes data and treats obscurity as a control.

What this tests: IAM, service accounts, workload identity, and least-privilege access design.

Related topics: IAM; GKE; Workload Identity; Cloud Storage


Question 3

Topic: Modernizing a relational database

A monolithic application uses PostgreSQL and needs a managed relational database during migration. The team wants minimal operational overhead, compatibility with existing SQL behavior, automated backups, and high availability. Which service is the best first target?

  • A. Bigtable, because it scales to very high throughput for key-value access.
  • B. Cloud Storage, because objects are inexpensive and durable.
  • C. Cloud SQL for PostgreSQL with high availability configured.
  • D. Firestore, because it removes the need to model relational joins.

Best answer: C

Explanation: Existing PostgreSQL compatibility and managed relational operations point to Cloud SQL. High availability and backups address the operational requirements without forcing an immediate application rewrite.

Why the other choices are weaker:

  • A is not a relational PostgreSQL-compatible target.
  • B stores objects, not relational tables with SQL behavior.
  • D is a document database and would require a data-model redesign.

What this tests: Choosing a managed service based on compatibility, migration risk, and operational burden.

Related topics: Cloud SQL; Migration; Relational databases; High availability


Question 4

Topic: Separating environments with governance

An enterprise wants separate development, test, and production environments. Production must have stricter IAM, organization policies, audit logging, and budget controls than non-production. Which structure best supports governance at scale?

  • A. Put all environments in one project and separate resources by labels only.
  • B. Use separate projects organized under folders for environments, then apply IAM, policies, logging, and budgets at the right hierarchy levels.
  • C. Let each team create personal projects outside the organization to increase speed.
  • D. Use one shared service account for every environment so permissions are consistent.

Best answer: B

Explanation: Google Cloud resource hierarchy is designed for this kind of governance. Separate projects and folders allow policies, permissions, logging, and budgets to match environment risk.

Why the other choices are weaker:

  • A makes isolation and environment-specific governance harder.
  • C bypasses central controls and weakens visibility.
  • D breaks separation of duties and makes incidents harder to investigate.

What this tests: Organization hierarchy, project design, IAM boundaries, and governance placement.

Related topics: Resource hierarchy; Projects; Organization policy; Governance

Independent study note

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Revised on Sunday, May 10, 2026