1. What is a bucket in Google Cloud Storage?
A bucket in Google Cloud Storage (GCS) is a container that stores objects, such as files, images, and videos. It's similar to a folder on your computer. You can organize your data within buckets and set access controls to manage who can view or modify the contents.
2. Explain the concept of regions and zones in GCP.
Regions: Google Cloud Platform is divided into regions, which are geographically distinct locations. Each region is a separate data center facility with multiple zones.
Zones: Within a region, there are multiple zones. Zones are physically distinct locations within a region that are designed to be highly available and resilient.
By understanding regions and zones, you can choose the most appropriate location for your resources based on factors like latency, data sovereignty, and disaster recovery.
3. What is cloud functions?
Cloud Functions is a serverless computing platform that allows you to run code without managing servers. You can write functions in various languages (e.g., Node.js, Python, Java) and deploy them to GCP. Cloud Functions automatically scale to handle varying workloads, making it a cost-effective and efficient way to run event-driven applications.
4. What is Google Kubernetes Engine?
Google Kubernetes Engine (GKE) is a managed Kubernetes service that simplifies the deployment, management, and scaling of containerized applications. It provides a fully managed environment for running Kubernetes clusters on Google Cloud Platform.
5. What are IAM roles and permissions?
IAM roles and permissions are used to control access to Google Cloud Platform resources. An IAM role is a collection of permissions that grant access to specific resources. You can assign roles to users, groups, or service accounts to manage their access privileges.
6. How does billing work in GCP?
Google Cloud Platform uses a pay-as-you-go pricing model. You are charged for the resources you use, such as compute instances, storage, and network traffic. Billing is based on usage metrics like CPU time, storage space, and network bandwidth.
7. How do you monitor resources in GCP?
Google Cloud Platform provides various monitoring tools to track resource usage and performance. Some popular options include:
Cloud Monitoring: A fully managed monitoring service for collecting, analyzing, and alerting on metrics.
Stackdriver Logging: A managed logging service for collecting and analyzing logs from your GCP resources.
Cloud Trace: A distributed tracing service for understanding the performance of your applications.
8. How do you create a virtual machine in GCP?
You can create a virtual machine in GCP using the Compute Engine service. You'll need to specify the instance type, zone, machine image, and other relevant configuration options. You can use the Google Cloud Console, the gcloud command-line tool, or the Compute Engine API to create virtual machines.
9. Explain the concept of serverless computing.
Serverless computing is a cloud computing model where you don't have to manage servers. Instead, you write code and deploy it to a serverless platform like Cloud Functions. The platform automatically scales resources based on demand, eliminating the need for you to worry about infrastructure management.
10. Describe the different types of storage options in GCP.
Google Cloud Platform offers various storage options to suit different needs:
Object Storage: (GCS) for storing unstructured data like files, images, and videos.
Block Storage: (Persistent Disk) for storing data that needs to be directly attached to virtual machines.
File Storage: (File Storage) for sharing files across multiple virtual machines.
Data Warehouse: (BigQuery) for storing and analyzing large datasets.
Specialized Storage: (Cloud SQL, Cloud Spanner) for specific database and transactional workloads.