Interviews Questions - (Gcp)
Fundamentals
What is Google Cloud Platform (GCP)?
- GCP is a suite of cloud computing services offered by Google, providing a platform for building, deploying, and scaling applications on Google's infrastructure.
What are the key benefits of using GCP?
- Scalability and Flexibility: Easily scale resources up or down based on demand.
- Cost-Effectiveness: Pay-as-you-go pricing, eliminating upfront costs.
- Reliability: Highly reliable and available infrastructure with multiple availability zones.
- Security: Robust security features, including encryption, access control, and threat detection.
- Innovation: Cutting-edge technologies like AI/ML, data analytics, and serverless computing.
Explain the concept of IaaS, PaaS, and SaaS with GCP examples.
- IaaS: Infrastructure as a Service (e.g., Compute Engine, Virtual Machines)
- PaaS: Platform as a Service (e.g., App Engine, Kubernetes Engine)
- SaaS: Software as a Service (e.g., Google Workspace, Google Cloud Search)
What are the different GCP regions and availability zones?
- Regions: Geographical locations where Google Cloud data centers are located.
- Availability Zones: Separate, isolated locations within a region, providing high availability.
What is the Google Cloud Console?
- A web-based interface for managing Google Cloud services.
Compute
What is Google Compute Engine (GCE)?
- Provides virtual machines (VMs) in the cloud.
What is Google Kubernetes Engine (GKE)?
- A managed Kubernetes service for deploying and managing containerized applications.
What is Google App Engine?
- A platform for building, deploying, and scaling web applications and APIs.
What is Google Cloud Functions?
- A serverless compute service that runs code in response to events.
What is Google Cloud Run?
- A serverless platform for running stateless containers that are invocable via HTTP requests.
Storage
What is Google Cloud Storage (GCS)?
- Object storage for storing and retrieving any amount of data, such as images, videos, and documents.
What is Cloud SQL?
- A fully managed relational database service.
What is Cloud Spanner?
- A globally distributed, scalable, and strongly consistent database service.
What is Cloud Datastore?
- A NoSQL database service for storing and querying data.
What is Cloud Pub/Sub?
- A real-time messaging service for streaming data between applications.
Networking
What is Virtual Private Cloud (VPC) in GCP?
- Allows you to create an isolated and private network within the Google Cloud.
What is Cloud Load Balancing?
- Distributes incoming traffic across multiple virtual machines.
What is Cloud DNS?
- A scalable and reliable DNS service.
What is Cloud VPN?
- Enables secure connections between your on-premises networks and your VPC.
Data Analytics & Big Data
What is BigQuery?
- A data warehousing service for analyzing large datasets with SQL-like queries.
What is Dataflow?
- A fully managed service for batch and stream data processing.
What is Cloud Dataproc?
- A managed Hadoop and Spark service for big data processing.
Machine Learning & AI
What is Vertex AI?
- A unified platform for building, deploying, and managing machine learning models.
What is Cloud Vision API?
- An API for image and video analysis.
What is Cloud Natural Language API?
- An API for understanding and analyzing human language.
Security
What is Identity and Access Management (IAM) in GCP?
- Provides granular control over who can access AWS resources.
What is Cloud Key Management Service (KMS)?
- A managed service for creating and controlling cryptographic keys.
What are Virtual Private Clouds (VPCs) and how do they enhance security?
Monitoring & Logging
What is Cloud Monitoring?
- Collects, stores, and analyzes metrics and logs from your Google Cloud resources.
What is Cloud Logging?
- A service for collecting and analyzing log data from your applications and services.
Deployment & Management
What is Google Cloud Deployment Manager?
- A service for automating the deployment and management of Google Cloud resources.
What is Terraform?
- An open-source infrastructure-as-code tool that can be used to manage GCP resources.
Interview Questions
- Explain the difference between Compute Engine and App Engine.
- Describe the process of creating a virtual machine in Compute Engine.
- How would you design a highly available and scalable architecture on GCP?
- Explain the concept of availability zones and how they contribute to fault tolerance.
- How would you choose the right VM size for your application?
- Describe the process of deploying an application to App Engine.
- How would you access and manipulate data using Cloud SQL?
- Explain the concept of dependency injection in GCP applications.
- How would you implement user authentication and authorization in a GCP application?
- Describe the process of setting up a VPC in GCP.
- How would you handle errors and exceptions in a GCP application?
- Explain the concept of serverless computing and how it relates to Cloud Functions.
- How would you choose the right storage service for your application data?
- Describe the process of deploying an application to Kubernetes Engine.
- How would you implement a load balancing solution on GCP?
- Explain the concept of resource quotas in GCP.
- How would you secure an GCP environment?
- Describe your experience with using GCP in a previous project.
Disclaimer: This list provides general guidance and may not be exhaustive. The specific questions asked in a GCP interview may vary depending on the role, department, and interviewer.
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The content provided in these tutorials is generated using artificial intelligence and is intended for educational purposes only.
