Google Cloud Platform (GCP) Assessment Test

A Google Cloud Platform (GCP) Assessment Test evaluates candidates' proficiency in using Google Cloud services and tools for building, deploying, and managing applications and infrastructure in the cloud. GCP offers a wide range of services for compute, storage, networking, databases, machine learning, and more, making it essential for cloud engineers, developers, and administrators to have a strong understanding of GCP fundamentals and best practices.

A Google Cloud Platform Assessment Test evaluates candidates for:

1. GCP Fundamentals: Assessing candidates' understanding of core GCP concepts, including regions, zones, projects, billing, and resource hierarchy.
2. Compute Services: Evaluating candidates' knowledge of GCP compute services, such as Compute Engine (virtual machines), Kubernetes Engine (container orchestration), App Engine (platform as a service), and Cloud Functions (serverless computing).
3. Storage Solutions: Testing candidates' proficiency in GCP storage solutions, including Cloud Storage (object storage), Cloud SQL (managed relational databases), Bigtable (NoSQL database), Firestore (document database), and Cloud Filestore (file storage).
4. Networking: Assessing candidates' skills in designing and configuring GCP networking components, such as Virtual Private Cloud (VPC), subnets, routes, firewall rules, load balancers, and Cloud CDN (Content Delivery Network).
5. Database Services: Evaluating candidates' understanding of GCP database services, including Cloud SQL, Bigtable, Firestore, Spanner (globally distributed relational database), and BigQuery (serverless data warehouse).
6. Security and Identity: Testing candidates' knowledge of GCP security features and identity management, including Identity and Access Management (IAM), encryption, Key Management Service (KMS), and Security Command Center.
7. Monitoring and Logging: Assessing candidates' ability to monitor and manage GCP resources using tools like Stackdriver Monitoring, Logging, Trace, and Debugger for troubleshooting and performance optimization.
8. Deployment and Management: Evaluating candidates' proficiency in deploying and managing applications and infrastructure on GCP using tools like Deployment Manager, Cloud Console, Cloud Shell, and Cloud SDK (Command-Line Interface).
9. Serverless Computing: Testing candidates' understanding of serverless computing concepts and services on GCP, such as Cloud Functions, Cloud Run (fully managed container platform), and Firebase (backend services for web and mobile apps).
10. Machine Learning and AI: Assessing candidates' familiarity with GCP's machine learning and artificial intelligence services, including AI Platform (model training and deployment), AutoML (automated machine learning), and TensorFlow (open-source machine learning framework).
11. Data Analytics and Big Data: Evaluating candidates' knowledge of GCP's data analytics and big data services, such as BigQuery (data warehouse), Dataflow (streaming and batch data processing), Dataproc (managed Spark and Hadoop clusters), and Pub/Sub (event messaging).
12. Cost Management: Testing candidates' understanding of GCP cost management tools and best practices for optimizing cloud costs, including billing reports, budget alerts, and resource usage analysis.
13. High Availability and Disaster Recovery: Assessing candidates' ability to design and implement high availability and disaster recovery solutions using GCP's global infrastructure, redundancy options, and backup services.
14. Integration and Interoperability: Evaluating candidates' skills in integrating GCP services with other cloud platforms, on-premises systems, and third-party tools using APIs, SDKs, and cloud interconnect options.
15. Best Practices and Governance: Testing candidates' knowledge of GCP best practices, compliance standards, and governance frameworks for ensuring security, compliance, and operational excellence in cloud environments.

Overall, our Google Cloud Platform Assessment Test measures candidates' knowledge, hands-on experience, and problem-solving skills in using GCP services effectively, helping organizations identify top talent for cloud-related roles and projects.