Exam Professional Machine Learning Engineer topic 1 question 313 discussion

Actual exam question from Google's Professional Machine Learning Engineer

Question #: 313
Topic #: 1

[All Professional Machine Learning Engineer Questions]

You are the lead ML engineer on a mission-critical project that involves analyzing massive datasets using Apache Spark. You need to establish a robust environment that allows your team to rapidly prototype Spark models using Jupyter notebooks. What is the fastest way to achieve this?

A. Set up a Vertex AI Workbench instance with a Spark kernel.
B. Use Colab Enterprise with a Spark kernel.
C. Set up a Dataproc cluster with Spark and use Jupyter notebooks.
D. Configure a Compute Engine instance with Spark and use Jupyter notebooks.

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Suggested Answer: C 🗳️

by hit_cloudie at May 21, 2025, 8:55 a.m.

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4d742d7

6 days, 10 hours ago

Selected Answer: C

Since we need a robust environment Dataproc cluster is better

upvoted 1 times

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hit_cloudie

3 weeks, 4 days ago

Selected Answer: C

Dataproc is Google's managed Spark service, and it supports Jupyter notebooks natively. This allows rapid setup, scalability, and is optimized for massive datasets — exactly what’s needed here.

upvoted 1 times

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