PMI CPMAI Practice Test 2026 – Section 4 Data Preparation – Cleaning The Mess

Описание: You know the dirty secret of AI? Nobody talks about it in job interviews.

Eighty percent of your time is not spent building cool models. It is spent fixing dates, merging messy spreadsheets, and figuring out why the same customer name is spelled three different ways.

That is Data Preparation. And if you hate it, you are normal. But if you skip it, you fail.

In this video, I walk you through Phase 3 of the CPMAI methodology. I explain why cleaning comes after understanding, how to handle missing values without introducing leakage, and what feature engineering actually means in plain English.

I also give you five new practice questions with full explanations. These are designed to trick you the same way the real PMI CPMAI exam does.

🔗 Get 35%Off the full 550+-question practice test on Udemy here:
https://tinyurl.com/a7e9ck6p

📌 What is inside this video:
00:00 – Hook: The 80% rule nobody tells you
01:15 – Why Data Preparation is not Data Understanding
03:30 – The five tasks: Select, Clean, Construct, Integrate, Format
06:50 – Data leakage explained with a simple example
09:20 – Five practice questions with answers and explanations
14:00 – How to know when your data is ready
15:30 – Next video: Section 5 – Model Development

💬 Leave a comment:
What is the messiest data you ever had to clean? Was it dates, names, or something worse? I want to hear your war stories. I reply to comments personally.

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