ExamTopics Logo
Mail Us[email protected]
Menu
Google Discussions
exam questions

Exam Professional Machine Learning Engineer All Questions

View all questions & answers for the Professional Machine Learning Engineer exam
Go to Exam

Exam Professional Machine Learning Engineer topic 1 question 125 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 125
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You manage a team of data scientists who use a cloud-based backend system to submit training jobs. This system has become very difficult to administer, and you want to use a managed service instead. The data scientists you work with use many different frameworks, including Keras, PyTorch, theano, scikit-learn, and custom libraries. What should you do?

  • A. Use the Vertex AI Training to submit training jobs using any framework.
  • B. Configure Kubeflow to run on Google Kubernetes Engine and submit training jobs through TFJob.
  • C. Create a library of VM images on Compute Engine, and publish these images on a centralized repository.
  • D. Set up Slurm workload manager to receive jobs that can be scheduled to run on your cloud infrastructure.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
by mymy9418 at Dec. 18, 2022, 3:17 a.m.

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
Submit Cancel
fitri001
6 months ago
Selected Answer: A
Managed Service: It eliminates the need to administer a complex backend system, reducing your team's workload. Framework Agnostic: Vertex AI Training supports various frameworks like Keras, PyTorch, scikit-learn, and custom libraries, aligning with your data scientists' needs.
upvoted 4 times
fitri001
6 months ago
B. Kubeflow on GKE with TFJob: While Kubeflow offers framework flexibility, setting it up and managing it on Google Kubernetes Engine (GKE) adds complexity compared to a fully managed service like Vertex AI Training. C. VM Image Library: Creating and maintaining a library of VM images for every framework is cumbersome and doesn't scale well for various frameworks and custom libraries. D. Slurm Workload Manager: Slurm is a workload manager, not a training service. It wouldn't directly address the need for framework-agnostic training job submission.
upvoted 2 times
...
...
AntoGrd
8 months, 1 week ago
Selected Answer: A
Answer A
upvoted 2 times
...
SamuelTsch
1 year, 3 months ago
Selected Answer: A
replicated # 5
upvoted 2 times
...
Voyager2
1 year, 4 months ago
Went with A. Use the Vertex AI Training to submit training jobs using any framework. As the request states managed service I will discard Compute Engine and Kubernetes. I discarded D since Google is not in the picture
upvoted 2 times
...
TNT87
1 year, 7 months ago
Selected Answer: A
Answer A
upvoted 1 times
...
hiromi
1 year, 10 months ago
Selected Answer: A
A (similar question 5)
upvoted 3 times
...
mymy9418
1 year, 10 months ago
Selected Answer: A
https://www.examtopics.com/discussions/google/view/54653-exam-professional-machine-learning-engineer-topic-1-question/
upvoted 2 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel
exam
Someone Bought Contributor Access for:
SY0-701
London, 1 minute ago