StoryTime | My First Onsite Experience: From I Can’t Do This to I Want More

For a long time, I never really dreamed about going onsite. Not because I didn’t want to travel outside India, but because I simply didn’t know how onsite opportunities actually worked. Whenever I heard the word “onsite,” I imagined someone going abroad for a long-term assignment on a work visa. In my mind, the process […]

Real Interview Questions Asked to BTech Computer Science Freshers

Technical interviews for BTech Computer Science freshers are often simpler than we imagine—but only if fundamentals are clear.
Based on real interview experiences, here are some commonly asked questions that interviewers use to evaluate fresh graduates.

These questions focus more on clarity, basics, and problem-solving approach rather than deep theoretical knowledge.

Azure Databricks Interview Questions – A Practical Guide for Data Engineers

Azure Databricks has become a core platform for building modern Lakehouse architectures on Azure. Interviewers today focus less on definitions and more on real-world implementation, performance, governance, and cost optimization.

This blog presents a curated and logically sequenced list of Azure Databricks interview questions, covering ingestion, transformation, governance, CI/CD, streaming, security, and architecture — exactly how interviews flow in real scenarios.

TCS – Data Engineer Interview Questions – Set 2

This blog is based on actual questions asked in a TCS Data Engineer Interview (Round 1) and, more importantly, explains what interviewers really expect behind each question. If you are preparing for TCS or similar data engineering roles, this guide will help you align your answers with practical thinking rather than theoretical explanations.

Why Are LLMs Considered the “Brain” of Modern AI Agents?

When people talk about AI Agents or Agentic AI, one question often comes up:

“What actually makes an AI agent intelligent?”

The short answer is: Large Language Models (LLMs).

LLMs are often called the “brain” of modern AI agents — and for good reason. Let’s understand why in simple terms:

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