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Google Professional Cloud Architect Exam Questions
- Topic 1: Designing and planning a cloud solution architecture: This section evaluates the skills of cloud architects in designing infrastructures that align with both business and technical requirements. It encompasses understanding business use cases, cost optimization, application support, external system integration, data movement, and making informed design decisions. Additionally, it involves creating migration plans, integrating solutions with existing systems, and anticipating future improvements based on evolving business needs and technological advancements.
- Topic 2: Managing and provisioning a solution infrastructure: Targeting system administrators, this section assesses the ability to configure network topologies, storage systems, and compute resources. It includes extending networks to on-premises or multi-cloud environments, ensuring security measures, managing data storage allocation, provisioning compute resources, and orchestrating infrastructure effectively.
- Topic 3: Designing for security and compliance: This section focuses on security engineers' expertise in designing secure and compliant cloud solutions. It covers identity and access management, resource hierarchy structuring, data security practices like encryption and key management, separation of duties, and implementing security controls. Additionally, it addresses designing for compliance with various legislative, commercial, and industry standards, ensuring that solutions meet necessary certifications and audit requirements.
- Topic 4: Analyzing and optimizing technical and business processes: Aimed at business analysts, this section evaluates the analysis and definition of technical and business processes. It includes understanding the software development life cycle, continuous integration and deployment practices, troubleshooting methodologies, testing and validation, service provisioning, and disaster recovery planning. Furthermore, it involves stakeholder management, change management, team skill assessments, decision-making processes, customer success strategies, and cost optimization efforts.
- Topic 5: Managing implementation: This section assesses project managers' abilities to oversee the successful deployment of cloud solutions. It involves advising development and operations teams, understanding application development, adhering to API best practices, utilizing testing frameworks, managing data and system migrations, and interacting with Google Cloud programmatically using tools like Cloud Shell and Cloud SDK.
- Topic 6: Ensuring solution and operations reliability: Focusing on site reliability engineers, this section evaluates the implementation of monitoring, logging, profiling, and alerting solutions to maintain operational reliability. It includes managing deployment and release processes, supporting deployed solutions, and evaluating quality control measures to ensure the robustness and reliability of cloud operations.
Free Google Professional Cloud Architect Exam Actual Questions
Note: Premium Questions for Professional Cloud Architect were last updated On Jul. 15, 2025 (see below)
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the
ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow
Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?
Your solution is producing performance bugs in production that you did not see in staging and test environments. You want to adjust your test and deployment procedures to avoid this problem in the future. What should you do?
You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute, with bursts of up to 8,500 clicks per second. It must been stored for future analysis by your data science and user experience teams. Which storage infrastructure should you choose?
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants you to design their new testing strategy. How should the test coverage differ from their existing backends on the other platforms?
From Scenario:
A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Requirements for Game Analytics Platform include: Dynamically scale up or down based on game activity
Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup. Which two steps should they take? Choose 2 answers
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