Google Professional Cloud Architect Exam Questions
Exam Name: Google Cloud Architect Professional
Exam Code: Professional Cloud Architect
Related Certification(s): Google Cloud Certified Certification
Certification Provider: Google
Actual Exam Duration: 120 Minutes
Number of Professional Cloud Architect Practice Questions: 276 (updated: )
Expected Professional Cloud Architect Exam Topics, as suggested by Google:
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 Cloud Architect Professional Exam Actual Questions
Note: Google Cloud Architect Professional Premium Questions were last updated on
Q1# You need to implement a network ingress for a new game that meets the defined business and technical requirements. Mountkirk Games wants each regional game instance to be located in multiple Google Cloud regions. What should you do?
Q2# The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?
Q3# You are implementing the infrastructure for a web service on Google Cloud. The web service needs to receive and store the data from 500,000 requests per second. The data will be queried later in real time, based on exact matches of a known set of attributes. There will be periods where the web service will not receive any requests. The business wants to keep costs low. Which web service platform and database should you use for the application?
Q4# For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?
Q5# You have an application deployed on Kubernetes Engine using a Deployment named echo-deployment. The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?