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PCD Deploying Question Bank (20 Questions)

Browse all 20 practice questions covering Deploying Applications for the PCD certification exam. Answers are intentionally hidden on this page so you can self-test first before checking results in quiz mode.

Question 1Deploying Applications
How do you implement a canary deployment for a GKE service?
ADeploy to half the pods
BUse Istio/Anthos Service Mesh VirtualService to route a percentage of traffic to the canary Deployment, monitor error rate and latency, and gradually increase traffic if healthy
CDeploy to a separate cluster
DUse feature flags instead
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Question 2Deploying Applications
How do you implement a blue-green deployment on Cloud Run?
ADeploy new version and delete old
BDeploy the new revision (green) with --no-traffic flag, test it using a tagged URL, then instantly switch 100% traffic from blue to green using traffic routing
CUse separate services
DDeploy during downtime window
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Question 3Deploying Applications
How do you deploy a new version with zero downtime in GKE?
ADelete pods and recreate
BUse Deployment rolling update strategy with readiness probes, liveness probes, and PodDisruptionBudgets — Kubernetes gradually replaces old pods with new ones
CScale to zero first
DManually update each pod
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Question 4Deploying Applications
How do you implement blue-green deployments on Cloud Run?
ANot possible
BDeploy new revision, use traffic splitting to route 0% to new revision initially, test with tags (--tag=green), then shift 100% traffic when validated, with instant rollback to previous revision
CManual DNS switching
DLoad balancer only
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Question 5Deploying Applications
What is a canary deployment on GKE?
AA bird-related deployment
BA deployment strategy where a small percentage of traffic is routed to the new version while the majority stays on the old version, allowing gradual validation
CA full replacement
DA blue-green deployment
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Question 6Deploying Applications
You want to gradually roll out a new version of a Cloud Run service. How do you do this?
ADelete the old version and deploy new
BDeploy the new revision, then use traffic splitting to route a percentage of traffic to the new revision — gradually increasing from 5% to 100% while monitoring errors
CDeploy to a new service
DUse DNS changes
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Question 7Designing Scalable, Available, and Reliable Cloud-Native Applications
You need to deploy a stateful application (e.g., a database) on GKE. What Kubernetes resource should you use?
ADeployment
BStatefulSet — provides stable network identities, ordered deployment/scaling, and persistent volume claims per pod for stateful workloads
CDaemonSet
DJob
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Question 8Building and Testing Applications
How should you manage dependencies for a Python application deployed to Cloud Run?
AInstall packages in the Dockerfile without pinning versions
BPin exact versions in requirements.txt (pip freeze), use a lock file, copy requirements first in Dockerfile for layer caching, and scan for vulnerabilities
CCopy the local virtual environment into the container
DDownload packages at runtime
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Question 9Designing Scalable, Available, and Reliable Cloud-Native Applications
How should you version a REST API deployed on Cloud Run?
ANo versioning needed
BURL path versioning (/v1/resources, /v2/resources) with Cloud Run traffic tags for testing new versions — maintain backward compatibility and deprecation timeline for old versions
CCreate a new service for each version
DUse query parameters for versioning
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Question 10Deploying Applications
A newly deployed Cloud Run revision is causing 500 errors. How do you quickly rollback?
ADebug the issue in production
Bgcloud run services update-traffic SERVICE --to-revisions=PREVIOUS_REVISION=100 — instantly routes all traffic back to the last known good revision
CRedeploy the old code
DDelete the service and recreate
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Question 11Building and Testing Applications
What are Cloud Native Buildpacks and how do they simplify Cloud Run deployment?
AA type of VM image
BBuildpacks automatically detect your application's language and create an optimized container image without requiring a Dockerfile — gcloud run deploy uses buildpacks by default
CA monitoring tool
DA testing framework
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Question 12Designing Scalable, Available, and Reliable Cloud-Native Applications
How do you design a Cloud Run service for multi-region deployment with automatic failover?
ADeploy in one region with backups
BDeploy the same service in multiple regions, use a global HTTPS load balancer to route traffic to the nearest healthy region, with Cloud Spanner or Firestore for global data consistency
CUse Cloud DNS failover only
DDeploy in all regions at once
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Question 13Deploying Applications
How does Cloud Run handle scaling for a newly deployed revision?
AFixed number of instances
BAutomatically scales instances based on incoming requests, including scaling to zero
CManual scaling only
DScales based on a schedule
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Question 14Deploying Applications
What is the purpose of Cloud Run traffic splitting?
ASplit network packets
BGradually shift request traffic between revisions for testing and canary releases
CSplit logs between destinations
DDivide compute resources
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Question 15Deploying Applications
What deployment strategies does Cloud Run support?
AOnly full deployment
BGradual rollouts (traffic splitting between revisions), instant rollouts, and rollbacks — route percentage of traffic to new revision while monitoring
COnly blue-green
DOnly canary with GKE
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Question 16Building and Testing Applications
How should you implement chaos engineering for your Cloud Run and GKE services?
ABreak production randomly
BInject controlled failures in a staging environment: kill pods, add latency, simulate service outages — verify that circuit breakers, retries, and fallbacks work as designed
COnly test in production
DNever test failures
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Question 17Building and Testing Applications
Where should container images be stored for GKE deployments within Google Cloud?
ADocker Hub
BArtifact Registry
CCloud Storage
DPersistent Disk
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Question 18Deploying Applications
What is the recommended tool for deploying applications to GKE with progressive delivery?
Akubectl apply only
BCloud Deploy with delivery pipelines
CManual gcloud commands
DCloud Console UI
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Question 19Deploying Applications
What are deployment strategies in GKE?
AOnly recreate
BRolling update (gradual replacement), Blue-Green (duplicate deployment, switch traffic), Canary (small traffic split), and Recreate (stop old, start new) — each with different tradeoffs
COnly blue-green
DCannot control deployments
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Question 20Deploying Applications
What are GKE deployment strategies?
AOnly one strategy
BRolling update (gradual replacement), Blue-green (two deployments, traffic switch), Canary (small traffic percentage to new version), and Recreate (all-at-once replacement)
COnly rolling
DOnly blue-green
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Key Deploying Concepts for PCD

deploygkecloud runapp enginecanaryblue-greenrolling updatetraffic splitting

PCD Deploying Exam Tips

Deploying Applications questions in PCD are typically scenario-based. Focus on service-level decision making aligned to official exam objectives. Priority concepts: deploy, gke, cloud run, app engine, canary, blue-green.

What PCD Expects

Anchor your answer in select the most practical, secure, and scalable answer for the stated scenario.
Deploying scenarios for PCD are frequently mapped to Domain 3 (~20%), so read the objective carefully before picking controls or architecture.
Expect multi-topic scenarios where Deploying interacts with IAM, networking, data, or operations patterns rather than appearing as an isolated question.
When two options are both technically valid, prefer the choice that best aligns with the exam's operational scope (Professional) and vendor best practices.

High-Value Deploying Concepts

Know the core Deploying building blocks cold: deploy, gke, cloud run, app engine.
Review the edge-case features and limits for canary, blue-green; these details are commonly used to differentiate answer choices.
Practice service-integration reasoning: how Deploying pairs with Building & Testing, Integrating Services in real deployment patterns.
For PCD, explain why the chosen Deploying design meets reliability, security, and cost expectations better than the alternatives.

Common PCD Traps

Watch for answers that partially solve the requirement but miss operational constraints.
Questions in Deploying Applications often include distractors that look correct for Deploying but violate least-privilege, reliability, or scalability 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 Deploying implementation paths and justify which one best fits the scenario?
Can you map the chosen answer back to Deploying Applications (~20%) outcomes for PCD?
Can you explain security and access boundaries for Deploying without relying on default-open assumptions?
Can you describe how Deploying integrates with Building & Testing and Integrating Services during failure, scaling, and monitoring events?

Exam Domains Covering Deploying

Domain 3Deploying Applications~20%

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