GCP Professional Cloud Architect (PCA) - Exam Strategy¶
Format reminder¶
- 50-60 questions, 120 minutes
- Pass mark: not published; widely reported as ~70-75% based on community feedback
- Multiple choice + multiple response
- Includes case study questions referencing fictional companies. Current cases: Altostrat Media, Cymbal Retail, EHR Healthcare, KnightMotives Automotive (see notes/case-studies.md)
Top traps¶
- Spanner vs Cloud SQL vs Firestore vs BigQuery:
- Spanner: globally consistent SQL, horizontal scale, ACID across regions
- Cloud SQL: regional, managed PostgreSQL/MySQL/SQL Server
- Firestore: document store, regional or multi-region
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BigQuery: serverless analytics warehouse Each has a specific use case; PCA tests the boundary cases.
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GCE machine families: E2 (cost-optimized), N2 (balanced), C3 (latest compute-optimized), M3 (memory-optimized for in-memory DBs and SAP HANA). Pick by workload shape.
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CUD vs SUD vs Spot:
- SUD: automatic, ~30% discount for sustained running
- CUD: 1-3 year commitment, up to 70% (resource-based or spend-based)
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Spot (formerly preemptible): 60-91% discount, can be reclaimed Newer CUDs (flexible, spend-based) blur the line with Savings Plans on AWS.
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Interconnect tiers:
- Dedicated Interconnect: 10 Gbps or 100 Gbps direct
- Partner Interconnect: 50 Mbps - 50 Gbps via SP
- HA VPN: over public internet, 99.99% with two tunnels
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SLAs: 99.9% (single Interconnect) β 99.99% (two metros, single region) β 99.99% (dual region)
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GKE Standard vs Autopilot: Standard for full control + node management; Autopilot for least-ops, pod-based pricing. PCA increasingly favors Autopilot for "minimal operational overhead."
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VPC Service Controls vs Private Google Access vs Private Service Connect:
- Private Google Access: VMs without public IPs reach Google APIs
- VPC Service Controls: data exfiltration prevention via service perimeters
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Private Service Connect: consume Google services or third-party services via private IPs
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IAM hierarchy: Organization β Folders β Projects β Resources. Roles flow down. Org policies are constraints (different from IAM) - they restrict configurations.
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Resource hierarchy and billing: each Project has its own quotas, billing, IAM. Folders for grouping. Org policy constraints at any level.
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Cloud Storage classes: Standard, Nearline (>30 days), Coldline (>90 days), Archive (>365 days). Lifecycle policies for transitions. Multi-region vs Dual-region vs Region location selection.
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Network tiers: Premium (default, Google's global network) vs Standard (cheaper, regional egress through public internet). Premium is the default modern answer.
Case study tactics¶
The PCA case studies are published ahead of time (four in the current guide: Altostrat Media, Cymbal Retail, EHR Healthcare, KnightMotives Automotive) - questions for each case study reference specific constraints in the company's Existing Environment and Business Requirements sections. Read the case study once carefully; for each subsequent question, jump back to the relevant constraint.
Common case study traps: - "Legacy systems will not move" (EHR Healthcare, Altostrat) - answers that migrate them fail; integrate over hybrid connectivity - "Alerts are ignored" - fix routing, ownership and SLO-based alerting, not more email - "No budget for new equipment" (KnightMotives dealers) - browser-based or SaaS, no on-site hardware - "Humans must review AI output" (Cymbal) - keep a human-in-the-loop step before writes to the catalog - "Cannot move data outside the EU" - rules out multi-region us / global Spanner - "Must minimize cost" - prefer Cloud Run over GKE, Cloud Functions over Cloud Run for spiky - "Must minimize operational overhead" - prefer fully-managed (Cloud Run, BigQuery, Cloud SQL) over self-managed
Time management¶
120 / ~55 = ~2.2 min/question. Pace: half done by minute 60. Leave 15 min for flagged review.
When stuck¶
- Identify case study constraints that filter options.
- Default to managed > self-managed when both work.
- Default to Google's recommended pattern - Cloud Service Mesh, GKE Autopilot, Spanner for global, Cloud Run for serverless containers.
- Eliminate "build it yourself" if a Google-managed service does it.
Day-of logistics¶
120 min, ~55 questions: bring two IDs. Online proctored available via Kryterion / Pearson VUE.
After¶
Pass: Cert valid 2 years. Renew by passing again or another GCP Professional cert.
Fail: Most failures are on case study questions where missed constraints cost points. Re-read the case studies in the official guide and practice mapping requirements to GCP services.
PCA patterns¶
- "Globally consistent SQL with sub-second writes" = Cloud Spanner
- "Multi-region serverless containers" = Cloud Run + Global LB with serverless NEGs
- "Hybrid 99.99%" = two Dedicated Interconnects in two metros
- "GKE with mTLS + observability + minimal ops" = Autopilot + Cloud Service Mesh
- "Steady 24/7 cost optimization" = 3-year CUDs
- "Interruptible cheap compute" = Spot
- "Data exfil prevention" = VPC Service Controls
- "Multi-tenant SaaS data isolation in BigQuery" = dataset IAM + row-level + column policy tags
- "Cross-region DR for stateful app" = Cloud SQL cross-region read replica + MIG scale-to-zero in DR
- "Per-call zero trust between services" = Cloud Service Mesh + AuthorizationPolicy