Been searching for the DATA passing score and I keep seeing different numbers. Some say 70%, others say 75%, and the official website isn't super clear.
I've been working through "data science" searches online and the passing requirement seems to vary by state or version? Or am I overthinking this?
My practice test scores are hovering around 64%. Should I be aiming higher before I schedule my actual exam?
Also I noticed on data science projects — are the practice questions usually harder or easier than the real thing? Trying to calibrate how ready I actually am.
Any recent test takers who can share what the real cutoff is?
Same boat a few months ago. Here's what I'd tell myself:
The DATA exam is more concept-focused than the study guides suggest. They test whether you understand data science, not just whether you can define it.
My tip: when you see a scenario question, mentally walk through it step by step before looking at the answers. The wrong answers are designed to catch people who jump to conclusions.
Good luck — the fact that you're doing this level of prep means you're going to be fine.
I actually failed the first time by a few points. Total gut punch. But passed on the second attempt with a comfortable margin.
What changed: I stopped trying to memorize answers and started actually understanding the material. Specifically on data science projects — I went back to basics and worked forward from first principles.
Also switched from reading to doing. Less time with the textbook, more time on practice questions with detailed answer explanations.
You've got this. The second attempt is always better because you know exactly what the exam is like.
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