Introduction
Are you planning to give interviews on Google Cloud Platform (GCP) or looking to expand your knowledge of GCP. If yes, then you're at the right place. This article aims to provide a comprehensive list of common GCP interview questions and tips on answering them effectively.
Whether you're new to GCP or an experienced professional, this article will help you prepare to ace your GCP interview and land your ideal job.
Most Asked GCP Interview Questions for Freshers
1. What is GCP?
GCP stands for Google Cloud Platform. It is a cloud computing platform offered by Google that provides a wide range of services, such as computing, storage, networking, and security.
2. What are the benefits of using GCP?
Using GCP provides numerous benefits, such as effortless resource scaling, data security, cost-effectiveness, reliable platform performance, and a broad range of customizable services to cater to diverse business requirements. GCP provides access to various tools and services to help developers build and deploy applications quickly and easily.
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3. What are the different types of GCP services?
GCP services are divided into four main categories: Computing, Storage, Networking, and Big Data.
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The Compute services of GCP provide options such as virtual machines, containers, and serverless computing.
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GCP's Storage services offer various options like databases, object storage, and block storage.
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The Networking services of GCP include VPC, load balancing, and DNS.
- GCP's Big Data services provide data processing and analytics capabilities to businesses.
4. What are the main concepts of GCP?
Google Cloud Platform (GCP) encompasses a wide array of cloud computing services and principles, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). These core concepts empower businesses with the ability to scale, secure, and flexibly manage their IT infrastructure while harnessing the power of cloud technology.
5. What is a GCP tool?
A GCP tool represents a versatile software or service designed by Google Cloud Platform to streamline the administration and optimization of cloud resources. These tools encompass the user-friendly Google Cloud Console for web-based management, the efficient Cloud SDK command-line interface, and a diverse range of specialized utilities tailored for tasks such as data analysis, deployment, and real-time monitoring.
6. What are 3 main GCP principles?
Below are the three main GCP principles:
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Security: GCP places paramount importance on safeguarding data and infrastructure through cutting-edge security measures like encryption, robust Identity and Access Management (IAM), and stringent compliance certifications
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Scalability: GCP empowers users to effortlessly scale their resources up or down, ensuring seamless adaptability to fluctuating demands while maintaining cost-efficiency
- Flexibility: GCP's extensive offering of services and tools provides users with the freedom to select and configure solutions that precisely align with their unique requirements, promoting versatility and agility in cloud operations
7. What are the 3 pillars of GCP?
Below are the three pillars of GCP principles:
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Compute: GCP furnishes users with virtual machines (VMs) and container orchestration through Google Kubernetes Engine, facilitating highly adaptable compute resources
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Storage: GCP delivers scalable storage solutions, such as Google Cloud Storage and Bigtable, for efficient data management, storage, and analysis
- Networking: GCP's robust networking services empower users to construct secure, high-performance networks and establish global connectivity for seamless operation across geographies
8. What is a GCP diagram?
A GCP diagram serves as a graphical representation of the cloud architecture within Google Cloud Platform. These visualizations vividly depict the interconnections and interactions among various GCP services and components, enabling effective planning, design, and comprehension of complex cloud deployments.
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9. What is the GCP pipeline?
A GCP pipeline embodies a sequence of automated data processing steps harnessed within Google Cloud Platform. These pipelines leverage GCP services like Cloud Dataflow or Cloud Composer to effortlessly ingest, transform, and analyze data, often serving as the backbone for data processing or ETL (Extract, Transform, Load) workflows. This automated approach guarantees the reliability and efficiency of data management and analysis processes.
10. What is Google Kubernetes Engine (GKE)?
Google Kubernetes Engine (GKE) is a container orchestration system managed by Google. It simplifies the deployment and management of containerized applications on GCP, making it easier for developers to run and manage their applications on the cloud.
11. What is Google Cloud SQL?
Google Cloud SQL is a service that provides fully-managed relational databases in the cloud. It's designed to simplify setting up, maintaining, managing, and administering databases. Cloud SQL lets you focus on developing your applications while Google handles database management. This feature makes running your applications in the cloud easier and more efficient.
12. What is Google Cloud Storage?
Google Cloud Storage is a highly durable and available object storage service that provides global access to your data. It suits various use cases, including backup and archival, content delivery, and big data analytics.
13. What is the difference between GCP and AWS?
GCP and AWS are both cloud computing platforms, but they differ in terms of the services they offer, their pricing models, and the level of support they provide. GCP is generally more user-friendly and developer-focused, while AWS is more geared toward enterprise customers.
14. What is the role of a Cloud Architect in GCP?
A Cloud Architect in GCP is responsible for designing and implementing cloud solutions that meet the needs of a specific organization. They select and configure GCP services to build a scalable and secure cloud infrastructure.
15. What is a Virtual Private Cloud (VPC)?
A Virtual Private Cloud (VPC) is a logically isolated network within the GCP environment that you can customize according to your specific needs. It allows you to create subnets, firewall rules, and VPN connections to connect your resources to the cloud securely.
16. How does GCP ensure the security of data?
GCP uses multiple layers of security to protect data, including network security, access management, data encryption, and security audits. GCP also complies with multiple security certifications and standards, such as SOC 2, ISO 27001, and PCI DSS.
17. What is Google Cloud Spanner?
Google Cloud Spanner is a database service that helps businesses manage their data. It can handle big transactions and is suitable for important tasks. Cloud Spanner lets businesses easily expand their databases to different parts of the world to access their data quickly and reliably. With a 99.999% uptime guarantee, businesses can be sure their data is always available. Cloud Spanner also ensures all data is consistent and up-to-date across all parts of the database. It's a great option for businesses needing a flexible, dependable, big database service.
18. What is Google Cloud Dataflow?
Google Cloud Dataflow is a fully-managed service that enables the development and execution of data processing pipelines. It is designed to work with real-time and batch modes, making it a flexible business option. Based on Apache Beam, Cloud Dataflow provides an easy-to-use platform for transforming and processing data.
19. What is Google Cloud Pub/Sub?
Google Cloud Pub/Sub supports multiple message delivery modes. It guarantees the delivery of messages in the order they were published. It can handle high throughput and is highly available, making it an ideal choice for businesses that require reliable and scalable messaging services.
20. What are Google Cloud Functions?
Google Cloud Functions is a service that allows you to run code without worrying about managing servers or infrastructure. It's a serverless computing service that supports different programming languages, making it easy to build applications. With Cloud Functions, you can focus on creating your application logic and deploying your code to the cloud. This feature makes developing and deploying your applications quicker and more efficient.