Get Interview-Ready with the Ultimate Azure Data Factory Cookbook
If you’re preparing for a Data Engineering interview and Azure is part of the tech stack, there’s one thing you can almost guarantee: You’ll be asked about Azure Data Factory (ADF).
Whether it’s a product-based company, a startup, or a consulting giant — ADF has become a core part of modern data pipelines, and interviewers love asking deep, scenario-based questions about it.
That’s exactly why I created the ADF Interview Cookbook – a value-packed, real-world PDF resource with over 50+ questions, including 20+ scenario-based questions that I and others were actually asked during interviews.
But before we dive into what’s inside the cookbook, let’s understand why ADF matters so much in the data world.
💡 What is Azure Data Factory?
Azure Data Factory (ADF) is a fully managed, cloud-based data integration service by Microsoft. Think of it as your data pipeline builder — one that allows you to move data from various sources, transform it, and load it into your data warehouse or data lake.
Here’s why companies use it:
Connects to 100+ data sources, both on-prem and in the cloud
Enables no-code and low-code pipeline development
Supports both batch and real-time data processing
Scales seamlessly as data volume grows
Integrates natively with other Azure services like Synapse, Databricks, Data Lake, and more
In a world driven by data, companies need powerful tools to make their data usable and accessible — ADF is one of the best options available on Azure for this.
🧠 Why Interviewers Focus on ADF
When companies hire data engineers or Azure developers, they don’t just want someone who knows theory. They want someone who has hands-on experience with real projects and knows how to apply ADF in real business scenarios.
That’s why ADF interview questions often go beyond:
“What is Azure Data Factory?”
Instead, you’ll hear things like:
“How do you handle schema drift in ADF pipelines?”
“What are the different types of integration runtime, and when would you use them?”
“How do you deal with parameterization in a dynamic pipeline?”
“Explain how you would design an ADF pipeline that ingests data daily from multiple regions.”
These are the types of questions that catch people off guard — especially if they’ve only learned ADF through tutorials or haven’t worked on real-world use cases yet.
That’s where the ADF Interview Cookbook can be your secret weapon.
📘 What is the ADF Interview Cookbook?
The ADF Interview Cookbook is a PDF I’ve personally created after going through multiple ADF-based interviews — and helping others do the same.
It includes:
✅ 20+ Scenario-Based ADF Questions
These are real-world use cases. The kind you’ll face in interviews where you’re asked to explain your approach, design data flows, or solve problems with scale, performance, and security in mind.
Example:
“You have 10 flat files daily coming from multiple vendors. Each vendor has a slightly different schema. How would you handle this in ADF?”
✅ 30 Core ADF Questions
These cover:
Pipelines
Triggers
Linked Services
Integration Runtime
Data Flows
Copy Activity
Monitoring & Debugging
Best Practices
These are the building blocks every candidate is expected to know well.
🔍 What Makes It Unique?
📌 Real Interview Experience – The questions aren’t pulled from Google. These were personally asked to me, and some were shared by others who faced similar rounds in companies like TCS, Cognizant, Capgemini, and product startups.
📌 Action-Oriented Format – Each question comes with context, and in many cases, sample approaches or things to highlight in your answer.
📌 Community Feedback – Since releasing this PDF, the feedback has been overwhelming. Many have messaged me saying:
“Bro! I literally got the exact same questions in my last interview.”
“This helped me explain my ADF project better and I cracked the final round.”
“Loved the clarity – no fluff, only what’s needed.”
💬 Why I Created This Resource
When I was preparing for interviews, I realized there were very few practical resources around ADF. Most content was theoretical, but interviews were asking for hands-on thinking.
So I started writing down every question I was asked.
Then, people from my network started sending me the questions they faced. That’s how the idea for the ADF Interview Cookbook was born — to help people like you prepare with the right kind of questions that reflect what interviewers actually care about.
And trust me — this kind of prep can be the difference between cracking the round or getting stuck.
📥 How to Get Your Copy
The ADF Interview Cookbook is available now.
You can download it here:
It’s lightweight, practical, and gets straight to the point.
Whether you’re:
A fresher trying to get into cloud data roles
A professional making a switch to Azure projects
A freelancer trying to land your next client
This guide will boost your ADF interview confidence and help you give the right answers when it matters most.