Before the interview on GCP use GPT
Google Cloud Platform (GCP) is a suite of cloud computing services provided by Google, offering a wide range of solutions for building and deploying applications, storing and analyzing data, and managing infrastructure. Here are some basic concepts in GCP:
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Projects: Projects are the top-level organizational units in GCP. They serve as a basis for resource management, access control, and billing. Each project can have its own set of resources and permissions.
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Compute Engine: Compute Engine is a service that provides virtual machines (VMs) for running applications on Google's infrastructure. Users can choose from predefined machine types or create custom machine types based on their specific requirements.
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Google Kubernetes Engine (GKE): GKE is a managed Kubernetes service that allows users to deploy, manage, and scale containerized applications using Kubernetes on Google Cloud Platform.
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Cloud Storage: Cloud Storage is a scalable object storage service for storing and accessing data in the cloud. It offers high durability, availability, and performance, and supports various storage classes for different use cases.
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BigQuery: BigQuery is a fully managed data warehouse and analytics platform that allows users to analyze large datasets using SQL queries. It offers fast and scalable data processing capabilities with built-in machine learning capabilities.
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Cloud Pub/Sub: Cloud Pub/Sub is a messaging service that provides reliable, asynchronous messaging between applications and services. It can be used for building event-driven architectures, real-time analytics, and data ingestion pipelines.
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Cloud IAM (Identity and Access Management): IAM is a service for managing access control and permissions for GCP resources. It allows users to define who has access to what resources and what actions they can perform.
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Networking: GCP offers a range of networking services, including Virtual Private Cloud (VPC) for creating isolated network environments, Cloud Load Balancing for distributing incoming traffic across multiple instances, and Cloud DNS for managing DNS records.
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Cloud Functions: Cloud Functions is a serverless computing service that allows users to write and deploy event-driven functions in response to events from GCP services or HTTP requests.
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Cloud SQL: Cloud SQL is a managed relational database service that supports MySQL, PostgreSQL, and SQL Server. It provides automated backups, scaling, and patch management, making it easy to deploy and manage databases in the cloud.
These are just a few basic concepts in Google Cloud Platform. GCP offers many more services and features for various use cases, including machine learning, IoT, security, and more.
Also GPT plus person support is there similar to MS one
https://cloud.google.com/support?hl=en
in the interview use the release train engineer as a leverage to be a generalist!
Imported from rifaterdemsahin.com · 2024