1. Can you explain the key components of Google Cloud Platform?
Google Cloud Platform's key components include compute services for running applications, storage and databases for managing data, networking for connecting resources, big data and machine learning for data analytics, identity and security for managing access, management tools for monitoring and automation, and developer tools for building and deploying applications.
2. What are the differences between Compute Engine, Kubernetes Engine, and App Engine?
Compute Engine is an Infrastructure as a Service (IaaS) offering that provides virtual machines for running applications, giving users full control over the underlying infrastructure. Kubernetes Engine is a managed container orchestration service that automates the deployment, scaling, and management of containerized applications using Kubernetes. App Engine is a Platform as a Service (PaaS) offering that allows developers to build and deploy applications without managing the underlying infrastructure, offering auto-scaling and built-in services for faster development.
3. How does Cloud Storage differ from Cloud SQL?
: Cloud Storage is a scalable object storage service for storing unstructured data such as images, videos, and backups, accessible via HTTP/HTTPS. Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL, and SQL Server, offering features like automated backups, replication, and scaling for structured data storage and retrieval.
4. Explain the difference between Bigtable and BigQuery ?
Bigtable is a NoSQL, high-performance, and scalable database designed for real-time analytics and operational workloads, ideal for storing large amounts of semi-structured data. BigQuery, on the other hand, is a fully managed, serverless data warehouse designed for running SQL queries on large datasets, enabling interactive analysis with high performance and scalability.
5. Describe how Google Cloud Virtual Private Cloud (VPC) works.
: Google Cloud Virtual Private Cloud (VPC) allows users to create a logically isolated network within Google Cloud, enabling control over IP addresses, subnets, and route tables. It provides private communication between resources while offering options for connectivity to on-premises networks via VPN or dedicated interconnect.
6. What are the advantages of using Cloud Load Balancing?
Cloud Load Balancing provides scalable and highly available distribution of incoming traffic across multiple instances or regions, ensuring optimal performance and minimizing downtime. It offers enhanced security features such as SSL termination and DDoS protection while simplifying management with automatic scaling and health checks.
7. How does Cloud CDN improve website performance?
Cloud CDN (Content Delivery Network) improves website performance by caching content at edge locations closer to users, reducing latency and speeding up content delivery. This minimizes the distance data needs to travel, resulting in faster loading times and improved user experience.
8. Explain the use case and benefits of Cloud Interconnect
8. Explain the use case and benefits of Cloud Interconnect. Ans : Cloud Interconnect provides dedicated and low-latency connections between an organization's on-premises network and Google Cloud Platform, enhancing performance, reliability, and security. It is suitable for scenarios requiring consistent and high-bandwidth data transfer, such as hybrid cloud deployments, large-scale data migrations, and real-time data processing.
9. How does IAM work in Google Cloud?
: IAM (Identity and Access Management) in Google Cloud controls access to resources by defining permissions for individual users, groups, or service accounts. It follows the principle of least privilege, allowing administrators to grant precise permissions to resources while ensuring security and compliance. Users authenticate using Google accounts, Cloud IAM, or external identity providers, and access to resources is governed by policies configured at the project, folder, or organization level.
10. What are service accounts, and how are they used?
: Service accounts are special Google accounts used by applications and virtual machines (VMs) to authenticate and interact with Google Cloud Platform (GCP) services. They provide a way for applications to securely access GCP resources without needing to manage individual user credentials. Service accounts are associated with roles, granting them specific permissions to access GCP services and resources based on the principle of least privilege. They are commonly used for automation, accessing APIs, and integrating with GCP services such as Compute Engine, Kubernetes Engine, and Cloud Storage
