Practice QuestionsMarch 24, 202616 min read

GCP Professional Cloud Architect: 10 Free Practice Questions (2026)

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Test your GCP PCA readiness with these scenario-based questions — the same style you'll face on exam day.

Google Cloud Professional Cloud Architect practice questions for exam preparation

Why These Questions Matter for Your PCA Prep

Only 32% pass the GCP Professional Cloud Architect on the first try. That's not a typo.

The PCA isn't your typical memorization exam. Google tests architectural thinking — you need to pick the best solution from several options that all technically work. And the case study questions? They hand you a fictional company with messy requirements and expect you to make trade-off decisions under time pressure.

The questions below are designed to mirror that experience. Each one requires you to think about why an answer is best, not just what the service does. That's the difference between passing and failing this exam.

If you want the full 500+ question bank with adaptive learning, check out ExamCert's GCP PCA practice tests. But start here to gauge where you stand.

Quick PCA Exam Overview

  • Questions: 50-60 (multiple choice + multiple select)
  • Duration: 2 hours
  • Cost: $200 USD
  • Passing score: Not published (~70-72% estimated)
  • Validity: 2 years
  • Format: Includes 2-3 case study scenarios

Practice Questions: Compute & Infrastructure

Question 1 — Compute Engine Availability

A media company runs a video transcoding pipeline on Compute Engine. The workload is fault-tolerant and can handle interruptions, but they need to reduce costs by at least 60%. Processing jobs take 10-30 minutes each. Which compute option should you recommend?

✅ Answer: A
Spot VMs offer 60-91% discounts over on-demand pricing, perfect for fault-tolerant batch workloads. The managed instance group with autohealing automatically replaces preempted instances. Committed use discounts (B) only save 37-55%. Cloud Run (C) has a 60-minute timeout and isn't ideal for heavy compute. Sole-tenant nodes (D) increase cost, not decrease it.

Question 2 — Instance Group Scaling

Your e-commerce app experiences predictable traffic spikes every weekday at 12:00 PM and 6:00 PM. Between spikes, traffic drops to 20% of peak. You want to minimize costs while maintaining performance during spikes. What should you configure?

✅ Answer: B
Predictive autoscaling uses historical patterns to scale up before the spike hits, while reactive autoscaling handles unexpected variations. This combination ensures capacity is ready for predictable spikes while scaling down during quiet periods to minimize cost. Option A wastes money by always running at peak. Option C requires manual intervention. Option D reacts too slowly — by the time requests spike, users already experience latency.

Practice Questions: Data & Storage

Question 3 — BigQuery Cost Optimization

Your analytics team runs ad-hoc queries on a 50 TB dataset in BigQuery. Monthly query costs have reached $15,000 and leadership wants them reduced. Queries frequently scan the same date-partitioned tables but often only need the last 90 days. What should you implement first?

✅ Answer: B
Requiring partition filters (via the require_partition_filter table option) ensures queries don't accidentally scan the full 50 TB — they'll only scan the relevant date partitions. Clustering further reduces bytes scanned by organizing data within partitions. This is the highest-impact, lowest-effort optimization. Flat-rate pricing (A) might help but doesn't address the root cause of scanning too much data. Dataproc (C) adds complexity. BI Engine (D) is for small, frequently accessed datasets, not 50 TB ad-hoc queries.

Question 4 — Storage Class Selection

A hospital system must store medical imaging files (DICOM format) for regulatory compliance. Requirements: files must be retained for 7 years, accessed only during legal audits (approximately once per year per file), and deletion must be prevented even by administrators. Which storage configuration is correct?

✅ Answer: A
Archive class is cheapest for data accessed less than once per year. The retention policy ensures files cannot be deleted before 7 years. Bucket lock makes the retention policy permanent — even administrators cannot remove it, meeting the compliance requirement. Nearline (B) is more expensive for yearly access patterns and versioning doesn't prevent deletion. Standard (C) costs far more and lifecycle rules don't prevent deletion. Persistent Disk (D) is not designed for long-term archival storage.

Practice Questions: Networking & Security

Question 5 — Hybrid Connectivity

Your company is migrating workloads to GCP but will maintain an on-premises data center for 2 more years. You need consistent, low-latency connectivity for real-time database replication between on-premises and GCP. The total bandwidth requirement is 5 Gbps. What should you recommend?

✅ Answer: B
Dedicated Interconnect provides the lowest latency and most consistent bandwidth for hybrid connectivity. A single 10 Gbps link comfortably handles the 5 Gbps requirement with headroom. For real-time database replication, you need predictable latency — VPN (A) runs over the public internet and can't guarantee consistent performance. Partner Interconnect (C) works but adds a third party and is typically chosen when you can't meet the colocation requirements for Dedicated Interconnect. Cloud CDN (D) is for caching static content, not database replication.

Question 6 — IAM & Security

A development team needs read access to production Cloud Storage buckets for debugging, but they should never be able to modify or delete production data. The team has 15 members who rotate quarterly. What is the most operationally efficient approach?

✅ Answer: A
Google Groups provide the most operationally efficient access management. When team members rotate, you just update the group membership — no IAM policy changes needed. Storage Object Viewer already provides read-only access (get + list), so a custom role (C) adds unnecessary complexity. Individual grants (B) become an operational nightmare with 15 rotating members × multiple buckets. Signed URLs (D) are for temporary external access, not ongoing team access.

Practice Questions: Application Architecture

Question 7 — Microservices Deployment

You're designing a new microservices platform with these requirements: auto-scaling to zero during off-hours, sub-second cold starts, each service handles HTTP requests, and the team wants to avoid managing infrastructure. Which GCP service should you use?

✅ Answer: B
Cloud Run checks every box: scales to zero (no cost during off-hours), sub-second cold starts with minimum instances, handles HTTP requests natively, and is fully managed (no infrastructure). GKE (A) doesn't scale to zero — you always pay for at least one node. Cloud Functions (C) is designed for event-driven single-purpose functions, not microservices. App Engine Flexible (D) has minimum instance requirements and doesn't scale to zero.

Question 8 — Pub/Sub Message Processing

A retail company processes order events through Pub/Sub. Each order must be processed exactly once, and processing takes 2-5 minutes per order. During Black Friday, order volume increases 20x. Some orders have higher priority (VIP customers). What architecture should you recommend?

✅ Answer: B
Two topics allow independent scaling and prioritization — VIP orders get dedicated processing capacity that isn't affected by the 20x standard order spike. GKE with HPA handles the long processing time (2-5 min) and scales horizontally for Black Friday. Pull subscriptions give control over processing rate. Cloud Run (A) has a 60-minute timeout but a single topic can't prioritize. Cloud Functions (C) has shorter timeouts and push subscriptions don't offer good flow control at 20x volume. Cloud Tasks (D) is for task scheduling, not event streaming at this scale.

Practice Questions: Migration & Operations

Question 9 — Database Migration

A company is migrating a 2 TB PostgreSQL database from on-premises to GCP. Requirements: minimize downtime (under 1 hour), maintain the ability to fall back to on-premises for 2 weeks after migration, and the application uses PostgreSQL-specific extensions (PostGIS, pg_trgm). Which migration approach should you use?

✅ Answer: A
Database Migration Service (DMS) with continuous replication enables near-zero downtime migration. It keeps the source and destination in sync until you cut over. Cloud SQL supports PostGIS and pg_trgm extensions. The continuous replication also enables fallback — you can revert to on-premises during the 2-week window. pg_dump (B) requires downtime proportional to the 2 TB database size — likely hours, not under 1 hour. AlloyDB (C) is a good database but DMS to Cloud SQL is the more standard path and directly supports the required extensions. CSV export (D) is the slowest and most error-prone approach.

Question 10 — Monitoring & SRE

Your SRE team needs to define an SLO for a customer-facing API. The API currently has 99.95% availability and P99 latency of 200ms. Business stakeholders want a 99.99% availability target. The API runs on Cloud Run with Cloud SQL backend. What should you advise?

✅ Answer: B
Setting an SLO above your current performance (99.99% when you're at 99.95%) means you're already violating it — that's a recipe for alert fatigue and lost credibility. Start with a realistic 99.9% SLO, implement error budget policies to drive reliability investments, and plan the multi-region architecture needed for 99.99%. Cloud SQL single-region can't achieve 99.99% — you'd need Cloud SQL with regional HA at minimum. Option A sets an unachievable target. Option C wrongly suggests GKE is more reliable than Cloud Run. Option D (100%) is never achievable and eliminates the concept of error budgets entirely.

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How to Use These Questions Effectively

Don't just read through these and check answers. That's passive learning, and it doesn't stick. Here's what actually works:

The Active Recall Method

  1. Cover the options. Read the scenario and try to form your own answer before looking at choices.
  2. Pick your answer. Commit to it. Write down why.
  3. Check the explanation. Did you get it right for the right reasons?
  4. Review wrong answers. Understanding why wrong answers are wrong is where the real learning happens.

This approach mirrors what ExamCert's spaced repetition system does automatically — it surfaces questions you got wrong more frequently until the concept sticks.

Key Domains to Focus On

Based on community feedback and exam analysis, these PCA domains carry the most weight:

  • Designing and planning cloud solution architecture (~25% of exam)
  • Managing and provisioning infrastructure (~20%)
  • Designing for security and compliance (~20%)
  • Analyzing and optimizing processes (~15%)
  • Managing implementation (~10%)
  • Ensuring reliability (~10%)

GCP PCA vs Other Cloud Architect Certs

Wondering how the PCA stacks up against AWS Solutions Architect or Azure AZ-305? Here's the quick comparison:

  • GCP PCA vs AWS SAA-C03: PCA is harder and more architecture-focused. SAA-C03 tests broader but shallower. Full comparison here.
  • GCP PCA vs Azure AZ-305: Similar difficulty, different emphasis. AZ-305 leans heavier on identity and hybrid scenarios.
  • GCP PCA vs GCP ACE: ACE is the prerequisite-level cert. If you haven't done ACE, consider it first for foundational GCP knowledge.

Next Steps for Your PCA Prep

If you scored 7/10 or higher on these questions, you're on the right track. Keep practicing with full-length exams to build endurance and time management.

If you scored below 7/10, don't panic. Focus on the domains where you missed questions and get more hands-on time in the GCP Console. Theory only gets you so far — you need to build things.

Recommended Study Resources

Frequently Asked Questions

How many questions are on the GCP PCA exam?

50-60 multiple-choice and multiple-select questions in 2 hours. The exam also includes case study questions based on fictional business scenarios that test your architectural decision-making ability.

What is the passing score for GCP PCA?

Google doesn't publish an official passing score. Based on community reports, most estimate it to be around 70-72%. You receive a pass/fail result, not a numeric score.

How hard is the GCP Professional Cloud Architect exam?

It's considered one of the harder cloud certifications. The PCA tests broad GCP knowledge plus architectural decision-making through case studies. Most candidates need 8-12 weeks of preparation with hands-on lab practice.

Is GCP PCA harder than AWS Solutions Architect?

Comparable difficulty, different focus. GCP PCA emphasizes case studies and architectural trade-offs, while AWS SAA-C03 focuses more on service-specific configurations. Many candidates find PCA slightly harder due to the case study format.

How long should I study for the GCP PCA?

Plan 8-12 weeks. If you already use GCP daily, 6-8 weeks may be enough. Key resources: Google's official training, Coursera PCA specialization, and practice exams to identify weak areas before exam day.