Google Professional Machine Learning Engineer Exam: What to Expect

Google Professional Machine Learning Engineer Exam: What to Expect

Google Professional Machine Learning Engineer Exam: What to Expect. Surely you will be surprised

Yesterday, 2020–11–24, I passed the Google Certified Professional Machine Learning Engineer Exam (that’s quite a mouthful, will refer to it as just the exam from now on). I feel obligated to share the experience with my fellow ML engineers because the road to that sacred PASSED result should not be as complicated as it is now.

I had only two weeks of preparation, but I would recommend having at least one month for experienced engineers. I think in my case two weeks were enough because:

  1. I have passed Google Professional Data Engineer before, so I already know the exam format and familiar with the nitty-gritty details of GCP services.
  2. ML Engineering is my daily job, and that really helped a lot during the exam — I recalled the problems we faced and the solutions we applied.

Important notice: There will be no question or answer dumps — this is unfair, I don’t want to spoil your fun.

Important notice: be prepared that your preparation won’t be enough to be prepared! This is also true for the Data Engineer exam: the sample questions, courses, and other preparation materials do not reflect the complexity of the actual questions! While the topics are the same, expect the real question to touch on the limitations of the services or even to present several applicable solutions with one being slightly more “the official way to do it”. I guess this is where the requirement of 3 years of practical experience comes from.

*Important notice: *I suppose Google picks the questions randomly so your mileage may vary.

Exam format: 60 questions, 120 minutes. Most of them are single-choice questions, but there were fewer than 5 multiple-choice questions. You are not required to do any calculations, and you don’t get a paper for notes. There are questions with code snippets in Python.

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