1. What is the main purpose of BigQuery in GCP?
BigQuery is GCP’s serverless data warehouse designed for large-scale analytics using SQL. It is optimized for high-speed query performance on petabytes of data.
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Cloud Basics · Question Set
Google Cloud Platform (GCP) Basics interview questions for placements and exams.
Questions
14
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Subject
Cloud Basics
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Difficulty
Mixed
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Go through each question and its explanation. Use this set as a focused practice pack for Cloud Basics.
BigQuery is GCP’s serverless data warehouse designed for large-scale analytics using SQL. It is optimized for high-speed query performance on petabytes of data.
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Cloud Run is for containerized applications, offering flexibility in language and runtime. App Engine is for managed applications where the platform handles scaling and updates automatically.
GCP provides infrastructure, platform, and software services for compute, storage, networking, and AI. It powers products like YouTube and Gmail, and supports enterprise workloads.
Compute Engine is GCP’s Infrastructure-as-a-Service offering that provides customizable virtual machines. It supports both Linux and Windows instances with flexible machine types.
App Engine is a fully managed Platform-as-a-Service for deploying scalable web apps. It automatically handles load balancing, scaling, and patching.
Cloud Storage provides globally available object storage for files, media, and backups. It supports multi-region replication and lifecycle management.
Cloud Functions is GCP’s serverless compute service. You can run short pieces of code triggered by HTTP requests, storage changes, or Pub/Sub messages.
A VPC in GCP gives you private networking control for your compute and storage resources. You can define subnets, firewalls, and routes for secure communication.
IAM lets administrators define who can access which resources and what actions they can perform. It provides roles and policies for fine-grained access management.
GCP uses a consumption-based model — you only pay for what you use. You can combine sustained use discounts and committed use savings for better cost control.
A Project is the primary organizational unit in GCP that contains resources like VMs, storage, and APIs. Each project has its own billing, IAM policies, and unique project ID for tracking and permissions.
A Service Account is a special Google account used by applications or services instead of users. It enables secure server-to-server communication and resource access through keys or tokens.
GCS provides Standard, Nearline, Coldline, and Archive classes. Standard is for frequent access, Nearline and Coldline for backups, and Archive for long-term low-cost storage.
GCP offers global scalability, strong data analytics tools, and AI integration. It provides flexible pricing, high security, and open-source compatibility across workloads.