Google Cloud Platform (GCP) Interview Questions and Answers for internship
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What is Google Cloud Platform (GCP)?
- Answer: Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google. It provides a range of services including computing, storage, databases, networking, analytics, machine learning, and more, allowing businesses and individuals to build, deploy, and manage applications and services on Google's infrastructure.
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Explain the difference between Compute Engine and App Engine.
- Answer: Compute Engine provides virtual machines (VMs) where you have full control over the operating system and software. App Engine is a Platform as a Service (PaaS) that handles infrastructure management, allowing you to focus on your application code. Compute Engine offers greater flexibility but requires more management; App Engine is easier to use but less flexible.
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What are the different types of storage options available in GCP?
- Answer: GCP offers various storage options, including Cloud Storage (object storage), Cloud SQL (managed relational databases), Cloud Spanner (globally-distributed database), Cloud Datastore (NoSQL database), and Persistent Disk (block storage for VMs).
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What is a virtual machine (VM) in GCP?
- Answer: A virtual machine (VM) in GCP is a virtualized computer running on Google's infrastructure. It provides a complete computing environment, including an operating system, CPU, memory, and storage, allowing you to run applications and services as if you had a physical server.
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Explain the concept of zones and regions in GCP.
- Answer: Regions are geographical locations where Google's data centers are located. Zones are smaller geographical areas within a region, offering redundancy and high availability. Distributing resources across multiple zones within a region improves resilience against outages.
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What are the benefits of using managed services in GCP?
- Answer: Managed services in GCP (like Cloud SQL or Cloud Spanner) handle infrastructure management tasks, such as patching, backups, and scaling, allowing developers to focus on application development instead of infrastructure maintenance. This improves efficiency and reduces operational overhead.
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Describe the different networking options available in GCP.
- Answer: GCP provides Virtual Private Cloud (VPC) networking, allowing you to create isolated networks. It also offers Cloud VPN for secure connections to on-premises networks, Cloud Interconnect for high-bandwidth connections, and Cloud Load Balancing for distributing traffic across multiple instances.
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What is Cloud Storage and its different storage classes?
- Answer: Cloud Storage is Google's object storage service. It offers various storage classes like Standard, Nearline, Coldline, and Archive, each with different pricing and access speeds, allowing you to optimize costs based on data access frequency.
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Explain the role of Kubernetes in GCP.
- Answer: Kubernetes is an open-source container orchestration system. GCP's Google Kubernetes Engine (GKE) is a managed Kubernetes service, simplifying the deployment, scaling, and management of containerized applications.
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What are Google Cloud Functions?
- Answer: Google Cloud Functions is a serverless compute platform that lets you execute code in response to events without managing servers. It's ideal for event-driven architectures and microservices.
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What is IAM in GCP?
- Answer: Identity and Access Management (IAM) is a security service that lets you grant granular permissions to users, groups, and services. It's crucial for controlling access to your GCP resources.
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Explain the concept of a service account in GCP.
- Answer: A service account is a special type of Google account that you can use to authenticate your application or other non-human users. It allows your application to access GCP resources without requiring a human user to log in.
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How can you monitor the performance of your GCP resources?
- Answer: You can monitor the performance of GCP resources using Cloud Monitoring, which provides dashboards, alerts, and logs to track resource usage, performance metrics, and errors.
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What is Cloud Logging in GCP?
- Answer: Cloud Logging is a fully managed logging service that lets you collect, store, and analyze logs from your GCP resources and applications. It helps in debugging, monitoring, and auditing your systems.
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What are BigQuery and its use cases?
- Answer: BigQuery is a fully managed, serverless data warehouse that allows you to analyze massive datasets using SQL. Use cases include business intelligence, data warehousing, and ad-hoc querying.
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Describe Cloud Pub/Sub.
- Answer: Cloud Pub/Sub is a globally scalable, fully managed real-time messaging service. It allows for asynchronous communication between different components of an application or services.
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What is Cloud Dataflow?
- Answer: Cloud Dataflow is a fully managed, unified stream and batch data processing service. It is built on Apache Beam and used for data transformation and analysis at scale.
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What is Cloud Dataproc?
- Answer: Cloud Dataproc is a fully managed Hadoop and Spark service that lets you run these frameworks on Google's infrastructure without managing the underlying infrastructure.
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What is Cloud SQL?
- Answer: Cloud SQL is a fully managed database service offering MySQL, PostgreSQL, and SQL Server. It handles backups, updates, and scaling, allowing developers to focus on application development.
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