Google Professional-Cloud-Architect Questions - Tips To Pass Exam 2026

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Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionObjectives
Analyzing and optimizing technical and business processes- Analyzing and defining business processes
  • 1. Cost management and optimization
  • 2. Business KPIs and metrics
  • 3. Stakeholder communication
- Analyzing and defining technical processes
  • 1. CI/CD pipeline design
  • 2. Incident management and troubleshooting
  • 3. Software development lifecycle (SDLC)
Managing and provisioning a solution infrastructure- Configuring compute systems
  • 1. Compute Engine configuration
  • 2. GKE configuration and management
  • 3. Cloud Run and Cloud Functions
- Configuring individual storage systems
  • 1. Cloud SQL and Spanner
  • 2. Cloud Storage configuration
  • 3. Datastore and Bigtable
- Configuring network topologies
  • 1. Hybrid and multi-cloud connectivity
  • 2. VPC design and peering
  • 3. Private access and VPN configuration
Managing implementation- Advising development/operation team(s) to ensure successful deployment
  • 1. Deployment strategies
  • 2. Application development best practices
  • 3. Testing and validation
- Interacting with Google Cloud programmatically
  • 1. Infrastructure as Code (IaC)
  • 2. Cloud SDK and gcloud CLI
  • 3. APIs and client libraries
Designing for security and compliance- Designing for compliance
  • 1. Audit logging and monitoring
  • 2. Regulatory and compliance requirements
  • 3. Data residency and sovereignty
- Designing for security
  • 1. Network security
  • 2. Data security and encryption
  • 3. Application security
  • 4. Identity and Access Management (IAM)
Ensuring solution and operations reliability- Monitoring/logging/profiling/alerting solution
  • 1. Cloud Monitoring and Cloud Logging
  • 2. Error reporting and alerting
  • 3. Performance profiling and tracing
- Evaluating quality control measures
- Deployment and release management
  • 1. Release management and versioning
  • 2. Deployment strategies and rollback
- Assisting with support
  • 1. Incident response and troubleshooting
  • 2. Capacity planning and scaling
Designing and planning a cloud solution architecture- Designing solution infrastructure that meets business requirements
  • 1. Cost optimization
  • 2. Migration planning
  • 3. Networking and compute resources
  • 4. Integration with existing systems
  • 5. Business use cases and product strategy
  • 6. Data and storage architecture
- Designing network, storage, and compute resources
  • 1. GKE cluster and workload design
  • 2. Compute engine selection and configuration
  • 3. Network design including load balancing and firewall rules
  • 4. Storage options and data lifecycle management
- Creating a migration plan
  • 1. Refactoring and rearchitecting applications
  • 2. Planning data migration
  • 3. Identifying workloads for migration
- Enabling future cloud technology
  • 1. Implementing future-proof architectures
  • 2. Designing for scalability and elasticity

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q23-Q28):

NEW QUESTION # 23
An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a bettor tool to capture errors and help them analyze their historical log data. You want to help them find a solution that meets their needs, what should you do?

Answer: A


NEW QUESTION # 24
You need to develop procedures to test a disaster plan for a mission-critical application. You want to use Google-recommended practices and native capabilities within GCP.
What should you do?

Answer: C

Explanation:
Reference:
https://cloud.google.com/solutions/dr-scenarios-planning-guide


NEW QUESTION # 25
Case Study: 7 - Mountkirk Games
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.
* Improve uptime - downtime is loss of players.
* Increase efficiency of the cloud resources we use.
* Reduce latency to all customers.
* Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
* Connect to a transactional database service to manage user profiles and game state.
* Store game activity in a timeseries database service for future analysis.
* As the system scales, ensure that data is not lost due to processing backlogs.
* Run hardened Linux distro.
* Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
* Process incoming data on the fly directly from the game servers
* Process data that arrives late because of slow mobile networks
* Allow queries to access at least 10 TB of historical data
* Process files that are regularly uploaded by users' mobile devices
* Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users.
Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to design their solution for the future in order to take advantage of cloud and technology improvements as they become available. Which two steps should they take? (Choose two.)

Answer: B,C


NEW QUESTION # 26
Your company has multiple on-premises systems that serve as sources for reporting. The data has not been maintained well and has become degraded over time. You want to use Google-recommended practices to detect anomalies in your company data. What should you do?

Answer: B

Explanation:
https://cloud.google.com/dataprep/


NEW QUESTION # 27
You want your Google Kubernetes Engine cluster to automatically add or remove nodes based on CPUload. What should you do?

Answer: D


NEW QUESTION # 28
......

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