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Start a timed practice session focusing on Designing and Planning a Cloud Solution Architecture topics from the PCA question bank.
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Browse all 11 practice questions covering Designing and Planning a Cloud Solution Architecture for the PCA certification exam. Each question includes the full answer and a detailed explanation to help you understand the concepts.
- Question 1Designing and Planning a Cloud Solution Architecture
A company wants to migrate a monolithic e-commerce application to Google Cloud. They need 99.99% availability and sub-second latency globally. What architecture should you recommend?
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Correct Answer: BExplanation:99.99% global availability: multi-region GKE Autopilot (managed, multi-zone), Cloud Spanner (99.999% SLA, global strong consistency), global HTTPS LB (anycast IP, nearest backend), Cloud CDN (edge caching). Microservices enable independent scaling/deployment. This architecture addresses all requirements.
- Question 2Designing and Planning a Cloud Solution Architecture
A company wants to avoid vendor lock-in and run workloads on both Google Cloud and AWS. What architecture approach should you recommend?
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Correct Answer: BExplanation:Multi-cloud strategy: Anthos (consistent Kubernetes management — GCP, AWS, Azure, on-prem), Terraform (single IaC tool for all clouds), open standards (Kubernetes, gRPC, OpenTelemetry, PostgreSQL). Trade-offs: increased complexity, lowest-common-denominator features. Use cloud-specific services where ROI justifies lock-in risk.
- Question 3Designing and Planning a Cloud Solution Architecture
A company processes 500GB of new data daily from IoT devices and needs real-time analytics plus historical analysis. What data architecture should you design?
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Correct Answer: BExplanation:IoT data pipeline: IoT Core (device management) → Pub/Sub (ingestion buffer) → Dataflow (streaming transform, enrich, validate) → dual sink: BigQuery (analytics, SQL queries, dashboards) + Cloud Storage (raw data lake, data replay, compliance). Looker/Looker Studio for dashboards. Bigtable alternative for ultra-low-latency time-series queries.
- Question 4Designing and Planning a Cloud Solution Architecture
You are designing a public API that needs to handle millions of requests per day. What architecture ensures scalability and reliability?
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Correct Answer: BExplanation:Scalable public API: Apigee (rate limiting, quotas, API keys, developer portal, analytics), Cloud Run (auto-scales to handle spikes, scale to zero during quiet), Cloud CDN (cache GET responses at edge), Cloud Armor (WAF + DDoS), Pub/Sub (offload heavy processing asynchronously). This handles millions of requests with cost efficiency.
- Question 5Designing for Security and Compliance
How should you design centralized logging for a multi-project organization?
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Correct Answer: BExplanation:Centralized logging: Organization-level log sink (captures all projects) → routes to: BigQuery (SQL analysis, long retention), Cloud Storage (archive), Pub/Sub (real-time SIEM feed). Dedicated security project: restricted access (security team only). Log types: Admin Activity (always on), Data Access (enable for sensitive projects). Chronicle SIEM for threat detection, correlation, investigation.
- Question 6Designing and Planning a Cloud Solution Architecture
A company wants to build a recommendation engine using their proprietary data. What Google Cloud architecture should you design?
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Correct Answer: BExplanation:ML recommendation architecture: Data → BigQuery (feature computation) → Vertex AI Feature Store (serve features online/offline). Training: Vertex AI Custom Training (GPU/TPU) or AutoML. Model Registry: version, compare, promote. Prediction: online endpoints (real-time) or batch prediction. MLOps: Vertex AI Pipelines (Kubeflow-based), model monitoring for drift detection.
- Question 7Designing and Planning a Cloud Solution Architecture
A legacy system processes orders synchronously, causing timeout errors during peak times. How do you redesign it for reliability?
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Correct Answer: BExplanation:Decouple synchronous processing: API accepts order → writes to DB (fast) → publishes to Pub/Sub → returns 202 Accepted. Workers (Cloud Run/GKE) subscribe and process async. Benefits: no timeouts (processing decoupled from request), backpressure handling (Pub/Sub buffers), retry (DLQ for failures), independent scaling of API and workers.
- Question 8Designing for Security and Compliance
You are designing a zero-trust security architecture for a company migrating to Google Cloud. Which components should you include?
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Correct Answer: BExplanation:Zero-trust components: BeyondCorp/IAP (identity-based app access — no VPN), Workload Identity (pod-level authentication), Cloud Armor (WAF + DDoS), VPC Service Controls (data perimeter), Binary Authorization (trusted container images), Security Command Center (posture management), Context-Aware Access (device + identity + context).
- Question 9Designing and Planning a Cloud Solution Architecture
You are designing a microservices architecture where services need to communicate asynchronously. What pattern should you use?
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Correct Answer: BExplanation:Async microservices: Pub/Sub (durable message queue — decouples producers/consumers), Eventarc (routes GCP events to Cloud Run/GKE/Workflows), Cloud Tasks (guaranteed task delivery with rate control), Workflows (orchestrate multi-step processes). Benefits: loose coupling, fault tolerance, independent scaling, eventual consistency.
- Question 10Designing and Planning a Cloud Solution Architecture
You need to design an image processing pipeline: when a user uploads an image to Cloud Storage, it should be resized, stored, and the user notified. What architecture should you use?
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Correct Answer: BExplanation:Event-driven pipeline: Cloud Storage upload triggers Eventarc (event routing) → Cloud Run job (process image — resize, compress, generate thumbnails) → write results to output bucket → Pub/Sub event → Cloud Functions or another Cloud Run service sends notification (email via SendGrid, push via FCM). Fully serverless, auto-scales, pay-per-event.
- Question 11Managing Implementation
What documentation should accompany a cloud architecture design?
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Correct Answer: BExplanation:Architecture documentation: ADRs (why decisions were made — trade-offs, alternatives considered), logical architecture diagram (services, data flow), deployment diagram (regions, zones, networks), runbooks (operational procedures), DR plan (failover steps, RTO/RPO), security doc (controls, threat model), cost model (estimates + optimization plan), SLO definitions.
Key Designing & Planning Concepts for PCA
PCA Designing & Planning Exam Tips
Designing and Planning a Cloud Solution Architecture questions in PCA are typically scenario-based. Focus on service-level decision making aligned to official exam objectives. Priority concepts: architecture, design, planning, requirements, migration, hybrid cloud.
What PCA Expects
- Anchor your answer in select the most practical, secure, and scalable answer for the stated scenario.
- Designing & Planning scenarios for PCA are frequently mapped to Domain 1 (~25%), so read the objective carefully before picking controls or architecture.
- Expect multi-service scenarios where Designing & Planning interacts with IAM, networking, storage, or observability patterns rather than appearing as an isolated service question.
- When two options are both technically valid, prefer the choice that best aligns with the exam's operational scope (Professional) and managed-service best practices.
High-Value Designing & Planning Concepts
- Know the core Designing & Planning building blocks cold: architecture, design, planning, requirements.
- Review the edge-case features and limits for migration, hybrid cloud; these details are commonly used to differentiate answer choices.
- Practice service-integration reasoning: how Designing & Planning pairs with Managing & Provisioning, Security & Compliance in real deployment patterns.
- For PCA, explain why the chosen Designing & Planning design meets reliability, security, and cost expectations better than the alternatives.
Common PCA Traps
- Watch for answers that partially solve the requirement but miss operational constraints.
- Questions in Designing and Planning often include distractors that look correct for Designing & Planning but violate least-privilege, durability, or availability requirements.
- Avoid picking options purely by feature name; validate data path, failure handling, and governance impact before answering.
- If the prompt hints at automation or repeatability, eliminate manual-only operational answers first.
Fast Review Checklist
- Can you compare at least two Designing & Planning implementation paths and justify which one best fits the scenario?
- Can you map the chosen answer back to Designing and Planning (~25%) outcomes for PCA?
- Can you explain security and access boundaries for Designing & Planning without relying on default-open assumptions?
- Can you describe how Designing & Planning integrates with Managing & Provisioning and Security & Compliance during failure, scaling, and monitoring events?