Google Compute Engine: Google Compute Engine is an Infrastructure as a Service (IaaS) offering that allows users to create and manage virtual machines in the cloud. It provides scalable computing resources for running applications and enables users to customize their virtual machine instances with CPU, memory, and storage options. This skill should be measured in the test to assess candidates' ability to provision and manage virtual machines in a cloud environment.
Google App Engine: Google App Engine is a Platform as a Service (PaaS) offering that enables developers to build and host web applications on Google's infrastructure. It simplifies the process of deploying and scaling applications by automatically managing the underlying infrastructure. This skill should be measured in the test to evaluate candidates' proficiency in developing and deploying scalable web applications on Google Cloud Platform.
Google Kubernetes Engine: Google Kubernetes Engine is a managed environment for deploying, managing, and scaling containerized applications using Kubernetes. It provides a reliable and efficient way to orchestrate the deployment of containers across multiple nodes, ensuring high availability and scalability. This skill should be measured in the test to gauge candidates' knowledge of containerization and their ability to deploy and manage containerized applications using Kubernetes.
Google Cloud Storage: Google Cloud Storage is an object storage service that allows users to store and retrieve data in the cloud. It provides secure, durable, and scalable storage for various types of data, including unstructured data. This skill should be measured in the test to assess candidates' familiarity with cloud storage concepts and their ability to use Google Cloud Storage effectively.
Google Cloud Bigtable: Google Cloud Bigtable is a distributed NoSQL database service designed for handling massive amounts of data with low latency. It is used for storing and analyzing large datasets, such as time series data and multimedia content. This skill should be measured in the test to evaluate candidates' knowledge and experience in working with Bigtable and their ability to design and implement data storage solutions for large-scale applications.
Google Cloud Spanner: Google Cloud Spanner is a globally distributed relational database service that provides horizontal scalability, strong consistency, and high availability. It is suitable for mission-critical applications that require low-latency transactions and global data replication. This skill should be measured in the test to assess candidates' understanding of distributed databases and their ability to design and manage scalable relational database solutions using Spanner.
Google Cloud SQL: Google Cloud SQL is a fully managed relational database service that makes it easy to set up, manage, and administer MySQL, PostgreSQL, and SQL Server databases in the cloud. It provides automatic backups, scale-out capabilities, and built-in security features. This skill should be measured in the test to evaluate candidates' proficiency in working with managed relational databases and their ability to leverage Cloud SQL for building scalable and secure applications.
Google Cloud Pub/Sub: Google Cloud Pub/Sub is a messaging service that allows applications to exchange messages in real-time. It provides reliable, scalable, and asynchronous communication between distributed systems and applications. This skill should be measured in the test to assess candidates' knowledge of event-driven architectures and their ability to implement real-time messaging solutions using Pub/Sub.
Google Cloud Functions: Google Cloud Functions is a serverless compute service that allows users to run event-driven code in the cloud. It enables developers to build and deploy small, single-purpose functions that respond to events and can be automatically scaled. This skill should be measured in the test to gauge candidates' familiarity with serverless computing concepts and their ability to develop and deploy serverless applications using Cloud Functions.
Google Cloud Identity and Access Management: Google Cloud Identity and Access Management (IAM) is a centralized security management system that enables administrators to manage access control and permissions for Google Cloud resources. It provides fine-grained control over who can access specific resources and what actions they can perform. This skill should be measured in the test to evaluate candidates' understanding of IAM concepts and their ability to implement secure access control policies for Google Cloud resources.
Google Cloud Networking: Google Cloud Networking encompasses a range of networking services and technologies offered by Google Cloud Platform. It includes virtual private cloud (VPC) for creating isolated network environments, load balancing for distributing traffic across multiple instances, DNS for domain name management, and VPN for securely connecting on-premises networks to the cloud. This skill should be measured in the test to assess candidates' knowledge of networking fundamentals and their ability to design and configure networking solutions on Google Cloud Platform.