GCP Google Cloud Computing Interview Questions and aNSWERS

 Answer: Google Cloud Platform is a suite of cloud computing services offered by Google. Its main features include:

• Scalability: GCP allows users to scale compute, storage, and networking resources dynamically to meet demand.
• Global Infrastructure: GCP operates in regions and availability zones worldwide, providing low-latency access to users across the globe.
• Data Analytics: GCP offers services like BigQuery and Dataflow for processing and analyzing large datasets.
• Machine Learning: GCP provides machine learning services such as AutoML, TensorFlow, and AI Platform for building and deploying machine learning models.
• Security: GCP offers built-in security controls, encryption, and identity and access management to protect data and applications.

 Answer: Google Compute Engine is an Infrastructure-as-a-Service (IaaS) offering that allows users to create and manage virtual machines (VMs) on Google's infrastructure. Users can choose from a variety of VM configurations, including predefined machine types or custom machine types with specific CPU, memory, and storage resources. GCE provides features such as automatic scaling, load balancing, and integration with other GCP services. 

 Answer: Google Kubernetes Engine (GKE) is a managed Kubernetes service that allows users to deploy, manage, and scale containerized applications using Kubernetes. It abstracts away the underlying infrastructure and automates tasks such as cluster provisioning, scaling, and upgrades. Compute Engine (GCE), on the other hand, is a general-purpose IaaS offering that allows users to create and manage virtual machines directly. While GKE is optimized for running containerized workloads, GCE provides more flexibility and control over VM configurations. 

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 Answer: Google BigQuery is a fully managed, serverless data warehouse service provided by Google Cloud Platform. It allows users to analyze large datasets using SQL queries without the need for infrastructure provisioning or management. BigQuery is designed for high-performance analytics and supports features such as federated queries, real-time data ingestion, and integration with machine learning services. 

 Answer: Google Cloud Functions is a serverless compute service that allows users to run event-driven code in response to events from Google Cloud services or HTTP requests. Users can write functions in languages such as Node.js, Python, or Go and deploy them to Cloud Functions without managing servers or infrastructure. Cloud Functions automatically scales based on incoming requests and users are billed only for the compute time consumed. 

 Answer: Google Cloud IAM is a service that allows users to manage access to Google Cloud Platform resources securely. IAM enables users to grant permissions to users, groups, and service accounts, controlling who can access specific resources and perform certain actions within their Google Cloud projects. IAM policies are defined at the project, folder, or organization level and can be fine-tuned using custom roles and conditions. 

 Answer: Google Cloud Pub/Sub is a fully managed, real-time messaging service provided by Google Cloud Platform. It allows users to create and publish messages to topics, which can then be consumed by subscribers asynchronously. Pub/Sub supports both push and pull message delivery modes and scales to handle high-throughput message processing. It's commonly used for building event-driven architectures, data streaming pipelines, and integrating distributed systems.

 Answer: Google Cloud Pub/Sub is a fully managed, real-time messaging service provided by Google Cloud Platform. It allows users to create and publish messages to topics, which can then be consumed by subscribers asynchronously. Pub/Sub supports both push and pull message delivery modes and scales to handle high-throughput message processing. It's commonly used for building event-driven architectures, data streaming pipelines, and integrating distributed systems.

 Answer: Google Cloud Spanner is a fully managed, horizontally scalable, globally distributed relational database service provided by Google Cloud Platform. It combines the scalability of NoSQL databases with the consistency and reliability of traditional relational databases. Spanner offers features such as automatic sharding, strong consistency, and high availability, making it well-suited for mission-critical applications that require high performance and global scalability. 

 Answer: Google Cloud AI Platform is a suite of machine learning services and tools provided by Google Cloud Platform. It allows users to build, train, and deploy machine learning models at scale. AI Platform provides services such as AutoML for automated model training, AI Platform Notebooks for collaborative data science workflows, and AI Platform Prediction for deploying and serving trained models in production.