Google Cloud Practice Exams

Validates the ability to deploy and secure applications, services, and infrastructure, monitor operations of multiple projects, and maintain enterprise solutions to ensure they meet target performance metrics.

Validates your ability to secure and manage data on Google Cloud, including data ingestion, transformation, pipeline management, analysis, machine learning, and visualization.

Demonstrates knowledge of cloud computing basics and how Google Cloud products and services support organizational goals, covering digital transformation, data transformation, AI innovation, infrastructure modernization, and security.

A business-focused certification for visionary professionals with comprehensive knowledge of how generative AI can transform businesses. Covers fundamentals of gen AI, Google Cloud's gen AI offerings, techniques to improve model output, and business strategies for successful AI solutions.

Validates the ability to design, develop, and manage robust, secure, scalable, efficient, cost-effective, highly available, and flexible solutions that drive business objectives using Google Cloud technologies.

Validates expertise in designing, creating, managing, and troubleshooting Google Cloud databases, with focus on scalable and highly available database solutions spanning multiple database technologies.

Validates expertise in building and deploying scalable, secure, and highly available applications using Google Cloud tools and best practices.

Validates ability to bootstrap and maintain a Google Cloud organization, implement CI/CD pipelines, apply site reliability engineering practices, implement observability, and optimize performance and cost.

Validates expertise in designing, implementing, and managing Google Cloud network infrastructure including VPCs, hybrid connectivity, load balancing, and network security.

Validates the ability to design and implement secure workloads and infrastructure on Google Cloud, including identity and access management, network security, data protection, security operations, and compliance requirements.

Validates expertise in designing, building, and operationalizing data processing systems and machine learning models on Google Cloud Platform.

Transforms business objectives into tangible Google Workspace configurations, policies, and security practices. Manages users, content, and integrations to enable secure and efficient collaboration. Note: This exam was retired on December 31, 2024.

Validates expertise in designing, building, and productionizing ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques.

Validates expertise in detecting, monitoring, analyzing, investigating, and responding to security threats against workloads, endpoints, and infrastructure using Google Cloud security tooling.