Google Cloud Platform Interview Questions

What is Google Cloud Platform (GCP) and its primary services?

Google Cloud Platform (GCP) is a suite of cloud computing services provided by Google. Its primary services include computing, storage, and networking resources, as well as machine learning, big data, and IoT capabilities. GCP allows users to build, deploy, and scale applications and websites on Google's infrastructure.

Explain the difference between Google Cloud Platform and AWS or Azure.

Google Cloud Platform (GCP), AWS, and Azure are major cloud service providers. GCP offers a more developer-friendly environment with strong data analytics capabilities, while AWS provides a broader range of services and a mature infrastructure. Azure offers strong integration with Microsoft products and services, making it a seamless choice for Windows-based environments.

What are some key benefits of using GCP?

Some key benefits of using Google Cloud Platform (GCP) include scalability to handle varying workloads, global infrastructure for high performance and low latency, strong security and compliance measures, cost efficiency through pay-as-you-go pricing, and a wide range of services for data storage, analytics, machine learning, and more.

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Describe the GCP regions and zones.

Google Cloud Platform has regions which are geographic locations that consist of one or more data centers, while zones are isolated locations within regions that have their own power, cooling, and networking infrastructure. GCP has multiple regions around the world, each with multiple zones for high availability and redundancy.

How is data storage handled in GCP?

Data storage in Google Cloud Platform (GCP) is handled through various services such as Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore. These services offer scalable and durable storage options for different types of data, ranging from structured to unstructured data.

What is Google Kubernetes Engine (GKE) and how does it work?

Google Kubernetes Engine (GKE) is a managed Kubernetes service provided by Google Cloud Platform. GKE allows users to deploy, manage, and scale containerized applications using Kubernetes, an open-source container orchestration platform. GKE automates the management of the underlying infrastructure, making it easier for developers to focus on their applications.

Explain Cloud Functions in Google Cloud Platform.

Cloud Functions is a serverless solution on Google Cloud Platform that allows developers to run their code in response to various events without managing servers. It supports multiple programming languages, automatically scales based on demand, and can integrate with other GCP services, making it suitable for event-driven applications.

What is Cloud SQL in GCP and how is it used?

Cloud SQL is a fully-managed relational database service provided by Google Cloud Platform. It allows users to create, manage, and scale MySQL, PostgreSQL, and SQL Server databases in the cloud. Cloud SQL is used for storing and managing structured data, enabling secure and high-performance database management in the cloud environment.

How does Google Cloud Storage differ from Google Cloud Bigtable?

Google Cloud Storage is used for storing objects such as files and documents, while Google Cloud Bigtable is a NoSQL database service designed for big data analytics and real-time processing. Cloud Storage is suitable for a variety of file types, while Bigtable is optimized for high-performance data processing and analysis.

What is the difference between Google Cloud Datastore and Firebase Realtime Database?

Google Cloud Datastore is a NoSQL document database for storing and querying data, offering scalability and managed service. Firebase Realtime Database is a NoSQL cloud database that syncs data in real-time to every connected client. Datastore is suited for structured data and complex queries, while Firebase is optimized for real-time data syncing for mobile and web apps.

How does Identity and Access Management (IAM) work in GCP?

In Google Cloud Platform (GCP), IAM allows administrators to manage access control for resources by defining who can do what. It uses roles to control permissions, which are assigned to users, groups, or service accounts. IAM ensures secure and fine-grained access control across GCP resources.

Explain the concept of VPC (Virtual Private Cloud) in Google Cloud Platform.

VPC in Google Cloud Platform is a logically isolated virtual network where users can deploy their resources. It allows users to define their own IP address range, create subnets, and control network traffic with firewall rules. VPC provides security and control over the cloud resources within the virtual network.

How can you monitor and manage resources in GCP using Stackdriver?

You can monitor and manage resources in Google Cloud Platform (GCP) using Stackdriver by setting up monitoring and alerting policies, viewing logs and metrics, creating custom dashboards, and utilizing the automatic resource discovery feature. Stackdriver provides a centralized platform for monitoring, troubleshooting, and optimizing GCP resources.

Describe the process of deploying applications to App Engine in GCP.

To deploy an application to App Engine in Google Cloud Platform, you need to first create an App Engine project, package your application code, configure your app.yaml file, and deploy your application using the gcloud command-line tool or through the Cloud Console.

What is Cloud Spanner in Google Cloud Platform and how is it utilized?

Cloud Spanner is a globally distributed, horizontally scalable, relational database service on Google Cloud Platform. It provides strong consistency, high availability, and seamless scalability. Cloud Spanner is used for mission-critical applications that require high performance and global reach, such as financial services, gaming, and e-commerce platforms.

Explain how BigQuery works in GCP and its key features.

BigQuery is a serverless, highly-scalable data warehouse on Google Cloud Platform. It allows users to analyze massive datasets quickly using SQL queries. Key features include real-time data streaming, automatic backups, advanced SQL functions, seamless integration with other GCP services, and support for machine learning models.

What is Google Cloud Platform (GCP) and its primary services?

Google Cloud Platform (GCP) is a suite of cloud computing services provided by Google. Its primary services include computing, storage, and networking resources, as well as machine learning, big data, and IoT capabilities. GCP allows users to build, deploy, and scale applications and websites on Google's infrastructure.

Google Cloud Platform (GCP) is a suite of cloud computing services provided by Google that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. GCP offers a wide range of services that can be used to build, deploy, and scale applications, websites, and services in a secure and efficient manner.

Some of the primary services offered by Google Cloud Platform include:

  • Compute: GCP provides various compute services, such as virtual machines (VMs) through Google Compute Engine, serverless computing through Google Cloud Functions, and containers using Google Kubernetes Engine.
  • Storage: GCP offers different types of storage services, including Google Cloud Storage for object storage, Google Cloud SQL for managed relational databases, and Google Cloud Firestore for NoSQL databases.
  • Networking: Google Cloud Platform provides networking services like Virtual Private Cloud (VPC) for creating isolated networks, Cloud Load Balancing for distributing incoming network traffic across instances, and Cloud Interconnect for connecting on-premises networks to Google's network.
  • Big Data and Machine Learning: GCP offers services like BigQuery for data analytics, Cloud Dataproc for managed Apache Spark and Hadoop clusters, and AI Platform for building, testing, and deploying machine learning models.
  • Identity and Security: Google Cloud Identity and Access Management (IAM) allows users to manage access control to GCP resources, while services like Cloud Security Command Center help to secure applications and data on the cloud.

These are just a few examples of the services provided by Google Cloud Platform. GCP also offers tools for monitoring, logging, developer tools, IoT, and more, making it a comprehensive cloud computing platform for various use cases and industries.