Google Cloud Interview Questions and Answers for internship

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Google Cloud Internship Interview Questions and Answers

  1. What excites you about working at Google Cloud?

    • Answer: I'm excited by Google Cloud's role in shaping the future of technology. The opportunity to work with cutting-edge technologies like AI/ML, big data analytics, and serverless computing, and contribute to a platform used globally, is incredibly appealing. I'm also drawn to Google's commitment to innovation and its focus on solving complex real-world problems.

  2. Describe your experience with cloud computing.

    • Answer: [Tailor this to your experience. Examples: I've used AWS/Azure/GCP for [specific tasks, e.g., deploying web applications, managing databases, running machine learning models]. I understand core concepts like IaaS, PaaS, SaaS, and have practical experience with [specific services, e.g., Compute Engine, Cloud Storage, Cloud SQL]. I'm familiar with concepts like scalability, availability, and security in the cloud.]

  3. Explain the difference between IaaS, PaaS, and SaaS.

    • Answer: IaaS (Infrastructure as a Service) provides virtualized computing resources like servers, storage, and networking. PaaS (Platform as a Service) offers a platform for developing and deploying applications, including tools and services like databases and middleware. SaaS (Software as a Service) delivers software applications over the internet, like email or CRM systems. The key difference lies in the level of abstraction and management responsibility; IaaS offers the most control, while SaaS offers the least.

  4. What are some key features of Google Kubernetes Engine (GKE)?

    • Answer: GKE is a managed Kubernetes service that simplifies the deployment and management of containerized applications. Key features include automated scaling, self-healing capabilities, integrated security features, and ease of use through a managed service. It also offers robust monitoring and logging capabilities.

  5. How familiar are you with Google Cloud Storage (GCS)?

    • Answer: [Describe your experience. Examples: I'm familiar with its object storage model, different storage classes (Standard, Nearline, Coldline, Archive), and its use cases for storing large datasets, backups, and media files. I understand its integration with other Google Cloud services. I have experience [or, I am eager to learn about] using its APIs for data access and management.]

  6. Explain the concept of serverless computing.

    • Answer: Serverless computing allows developers to build and run applications without managing servers. The cloud provider automatically manages the underlying infrastructure, scaling resources based on demand. Functions are triggered by events, and you only pay for the compute time used. Examples include Cloud Functions and Cloud Run on Google Cloud.

  7. What is a virtual machine (VM)?

    • Answer: A virtual machine is a software emulation of a physical computer. It provides a virtualized environment that can run operating systems and applications independently from the underlying hardware. This enables isolation, resource management, and flexibility in cloud environments like Google Compute Engine.

  8. What are some security best practices in Google Cloud?

    • Answer: Key security best practices include using IAM (Identity and Access Management) to control access to resources, enabling encryption at rest and in transit, regularly patching VMs and services, implementing network security (firewalls, VPC), and utilizing Cloud Security Command Center for monitoring and threat detection.

  9. How would you troubleshoot a slow-performing application deployed on Google Cloud?

    • Answer: My approach would involve using Cloud Monitoring to identify bottlenecks. I'd analyze CPU utilization, memory usage, network latency, and disk I/O. I'd also examine logs for errors and exceptions. Depending on the findings, I might consider scaling resources, optimizing database queries, or improving application code.

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