Google Cloud Professional Cloud Architect
Certification Exam (2025 Edition) New Latest Version
with All Questions from Actual Past Exam and 100%
Correct Answers
Section 1: Designing and Planning a Cloud Solution Architecture (Questions 1–7)
1. Your company is migrating an on-premises monolithic application to Google Cloud. The
application requires high availability across regions and must handle variable traffic
spikes. Which architecture pattern should you recommend for designing the solution?
A) Deploy the application on a single Compute Engine VM with persistent disk.
B) Use Google Kubernetes Engine (GKE) with multi-regional clusters and Horizontal
Pod Autoscaler.
C) Store the application in Cloud Storage with static website hosting.
D) Run the application on Cloud Run with a single revision. Correct Answer: B) Use
Google Kubernetes Engine (GKE) with multi-regional clusters and Horizontal Pod
Autoscaler.
Rationale: For high availability and scalability in a migrated application, GKE supports
containerized microservices with multi-regional deployment for fault tolerance and
autoscaling to handle traffic spikes. This aligns with Google Cloud's recommended
architecture for dynamic workloads (Google Cloud Architecture Framework).
2. A retail client needs to analyze customer data from multiple sources (e.g., logs,
transactions) in real-time to personalize recommendations. What is the best Google Cloud
service combination for this use case?
A) Cloud SQL for storage and BigQuery for analytics.
B) Pub/Sub for ingestion, Dataflow for processing, and BigQuery for storage and
querying.
C) Cloud Storage for all data and App Engine for processing.
D) Firestore for real-time database and Compute Engine for custom analytics. Correct
Answer: B) Pub/Sub for ingestion, Dataflow for processing, and BigQuery for storage
and querying.
Rationale: Pub/Sub enables real-time event streaming, Dataflow (Apache Beam)
processes streaming data at scale, and BigQuery provides serverless analytics for large
datasets. This is ideal for real-time personalization (Google Cloud Data Analytics
Blueprint).
3. You are designing a global content delivery system for a media company. The system
must minimize latency and ensure data consistency. Which storage solution should you
use?
A) Regional Cloud Storage with multi-regional replication.
B) Multi-regional Cloud Storage with strong consistency.
C) Persistent Disk on Compute Engine instances.
D) Bigtable for NoSQL storage. Correct Answer: B) Multi-regional Cloud Storage with
strong consistency.
Rationale: Multi-regional Cloud Storage provides low-latency global access with strong
, consistency for frequently accessed data like media files, ensuring durability and
availability across regions (Google Cloud Storage Classes Documentation).
4. For a financial services firm, you need to design a hybrid cloud architecture connecting
on-premises data centers to Google Cloud. What is the recommended connectivity option
for secure, low-latency access?
A) Use VPN with Cloud Router.
B) Implement Cloud Interconnect with Dedicated Interconnect for private connections.
C) Rely on public internet with HTTPS.
D) Use Cloud VPN only for all traffic. Correct Answer: B) Implement Cloud
Interconnect with Dedicated Interconnect for private connections.
Rationale: Dedicated Interconnect provides a private, high-bandwidth, low-latency
connection between on-premises and Google Cloud, ideal for hybrid setups requiring
security and performance (Google Cloud Hybrid Connectivity Guide).
5. A startup is building a serverless application that processes user uploads. The application
must scale automatically and integrate with machine learning for image analysis. Which
services should you recommend?
A) Compute Engine for hosting and AI Platform for ML.
B) Cloud Functions triggered by Cloud Storage, integrated with Vertex AI.
C) App Engine standard environment with custom runtimes.
D) Kubernetes Engine with manual scaling. Correct Answer: B) Cloud Functions
triggered by Cloud Storage, integrated with Vertex AI.
Rationale: Cloud Functions provides event-driven serverless compute, triggered by
uploads to Cloud Storage, and Vertex AI enables scalable ML inference without
managing infrastructure (Google Cloud Serverless Architecture Best Practices).
6. (Multiple Select - Choose all that apply) When planning a cloud migration for a legacy e-
commerce platform, which factors should influence the choice of compute options?
A) Cost optimization for bursty workloads.
B) Support for container orchestration.
C) Integration with existing on-premises Active Directory.
D) Automatic scaling for global traffic. Correct Answers: A, B, D
Rationale: Compute choices like GKE or Cloud Run should consider cost (e.g.,
preemptible VMs), container support, and autoscaling for e-commerce traffic. Active
Directory integration is more IAM-related, not core to compute selection (Google Cloud
Migration Assessment Guide).
7. Your organization requires a data warehouse for petabyte-scale analytics with sub-second
query times. What is the most suitable Google Cloud service?
A) Cloud SQL with read replicas.
B) BigQuery with BI Engine.
C) Datastore for NoSQL queries.
D) Spanner for relational data. Correct Answer: B) BigQuery with BI Engine.
Rationale: BigQuery is a serverless data warehouse optimized for massive analytics, and
BI Engine accelerates queries to sub-second latency for BI tools (BigQuery
Documentation).
Section 2: Managing and Provisioning a Solution Infrastructure (Questions 8–12)
8. You need to provision a network for a multi-tier web application with separate
environments for dev, staging, and production. How should you structure the VPC?
Certification Exam (2025 Edition) New Latest Version
with All Questions from Actual Past Exam and 100%
Correct Answers
Section 1: Designing and Planning a Cloud Solution Architecture (Questions 1–7)
1. Your company is migrating an on-premises monolithic application to Google Cloud. The
application requires high availability across regions and must handle variable traffic
spikes. Which architecture pattern should you recommend for designing the solution?
A) Deploy the application on a single Compute Engine VM with persistent disk.
B) Use Google Kubernetes Engine (GKE) with multi-regional clusters and Horizontal
Pod Autoscaler.
C) Store the application in Cloud Storage with static website hosting.
D) Run the application on Cloud Run with a single revision. Correct Answer: B) Use
Google Kubernetes Engine (GKE) with multi-regional clusters and Horizontal Pod
Autoscaler.
Rationale: For high availability and scalability in a migrated application, GKE supports
containerized microservices with multi-regional deployment for fault tolerance and
autoscaling to handle traffic spikes. This aligns with Google Cloud's recommended
architecture for dynamic workloads (Google Cloud Architecture Framework).
2. A retail client needs to analyze customer data from multiple sources (e.g., logs,
transactions) in real-time to personalize recommendations. What is the best Google Cloud
service combination for this use case?
A) Cloud SQL for storage and BigQuery for analytics.
B) Pub/Sub for ingestion, Dataflow for processing, and BigQuery for storage and
querying.
C) Cloud Storage for all data and App Engine for processing.
D) Firestore for real-time database and Compute Engine for custom analytics. Correct
Answer: B) Pub/Sub for ingestion, Dataflow for processing, and BigQuery for storage
and querying.
Rationale: Pub/Sub enables real-time event streaming, Dataflow (Apache Beam)
processes streaming data at scale, and BigQuery provides serverless analytics for large
datasets. This is ideal for real-time personalization (Google Cloud Data Analytics
Blueprint).
3. You are designing a global content delivery system for a media company. The system
must minimize latency and ensure data consistency. Which storage solution should you
use?
A) Regional Cloud Storage with multi-regional replication.
B) Multi-regional Cloud Storage with strong consistency.
C) Persistent Disk on Compute Engine instances.
D) Bigtable for NoSQL storage. Correct Answer: B) Multi-regional Cloud Storage with
strong consistency.
Rationale: Multi-regional Cloud Storage provides low-latency global access with strong
, consistency for frequently accessed data like media files, ensuring durability and
availability across regions (Google Cloud Storage Classes Documentation).
4. For a financial services firm, you need to design a hybrid cloud architecture connecting
on-premises data centers to Google Cloud. What is the recommended connectivity option
for secure, low-latency access?
A) Use VPN with Cloud Router.
B) Implement Cloud Interconnect with Dedicated Interconnect for private connections.
C) Rely on public internet with HTTPS.
D) Use Cloud VPN only for all traffic. Correct Answer: B) Implement Cloud
Interconnect with Dedicated Interconnect for private connections.
Rationale: Dedicated Interconnect provides a private, high-bandwidth, low-latency
connection between on-premises and Google Cloud, ideal for hybrid setups requiring
security and performance (Google Cloud Hybrid Connectivity Guide).
5. A startup is building a serverless application that processes user uploads. The application
must scale automatically and integrate with machine learning for image analysis. Which
services should you recommend?
A) Compute Engine for hosting and AI Platform for ML.
B) Cloud Functions triggered by Cloud Storage, integrated with Vertex AI.
C) App Engine standard environment with custom runtimes.
D) Kubernetes Engine with manual scaling. Correct Answer: B) Cloud Functions
triggered by Cloud Storage, integrated with Vertex AI.
Rationale: Cloud Functions provides event-driven serverless compute, triggered by
uploads to Cloud Storage, and Vertex AI enables scalable ML inference without
managing infrastructure (Google Cloud Serverless Architecture Best Practices).
6. (Multiple Select - Choose all that apply) When planning a cloud migration for a legacy e-
commerce platform, which factors should influence the choice of compute options?
A) Cost optimization for bursty workloads.
B) Support for container orchestration.
C) Integration with existing on-premises Active Directory.
D) Automatic scaling for global traffic. Correct Answers: A, B, D
Rationale: Compute choices like GKE or Cloud Run should consider cost (e.g.,
preemptible VMs), container support, and autoscaling for e-commerce traffic. Active
Directory integration is more IAM-related, not core to compute selection (Google Cloud
Migration Assessment Guide).
7. Your organization requires a data warehouse for petabyte-scale analytics with sub-second
query times. What is the most suitable Google Cloud service?
A) Cloud SQL with read replicas.
B) BigQuery with BI Engine.
C) Datastore for NoSQL queries.
D) Spanner for relational data. Correct Answer: B) BigQuery with BI Engine.
Rationale: BigQuery is a serverless data warehouse optimized for massive analytics, and
BI Engine accelerates queries to sub-second latency for BI tools (BigQuery
Documentation).
Section 2: Managing and Provisioning a Solution Infrastructure (Questions 8–12)
8. You need to provision a network for a multi-tier web application with separate
environments for dev, staging, and production. How should you structure the VPC?
