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Cloud Platforms (AWS, GCP & Azure)
Cloud Platforms (AWS, GCP & Azure)
11 interview prep topics with adaptive MCQ tests.
AWS EC2 vs Fargate vs Lambda
Choosing between AWS EC2, Fargate, and Lambda is a fundamental architectural decision that defines the scalability,…
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AWS IAM Roles vs Policies
Mastering the distinction between AWS IAM Roles and Policies is a fundamental requirement for Cloud Engineers, DevOps,…
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AWS Lambda Cold Starts
AWS Lambda Cold Starts represent the latency overhead incurred when a new execution environment is initialized to…
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AWS S3 Storage Classes
AWS S3 Storage Classes are the foundational building blocks for data management in the AWS ecosystem. In 2026, as data…
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AWS Step Functions
AWS Step Functions is a serverless workflow service that enables developers to orchestrate complex business processes…
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AWS VPC and Subnetting
AWS Virtual Private Cloud (VPC) and Subnetting are foundational concepts for anyone building on Amazon Web Services. A…
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DynamoDB Single-Table Design
DynamoDB single-table design is a sophisticated data modeling technique where multiple entity types are stored within a…
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Azure Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model database service offered by Microsoft Azure. It provides…
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AWS vs Azure vs GCP AI Services
In the 2026 enterprise landscape, choosing between AWS, Azure, and GCP for AI workloads is rarely about simple feature…
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GCP BigQuery Architecture
Google Cloud Platform's BigQuery is a fully managed, serverless enterprise data warehouse that enables super-fast SQL…
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Vertex AI Pipelines
Vertex AI Pipelines is Google Cloud's managed orchestration service for machine learning workflows, built on the…
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