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Exam Professional Machine Learning Engineer All Questions

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

Exam Professional Machine Learning Engineer topic 1 question 118 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 118
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You are building a TensorFlow model for a financial institution that predicts the impact of consumer spending on inflation globally. Due to the size and nature of the data, your model is long-running across all types of hardware, and you have built frequent checkpointing into the training process. Your organization has asked you to minimize cost. What hardware should you choose?

  • A. A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with 4 NVIDIA P100 GPUs
  • B. A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with an NVIDIA P100 GPU
  • C. A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with a non-preemptible v3-8 TPU
  • D. A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with a preemptible v3-8 TPU
Show Suggested Answer Hide Answer
Suggested Answer: D 🗳️

Comments

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hiromi
Highly Voted 1 year, 11 months ago
Selected Answer: D
D you have built frequent checkpointing into the training process / minimize cost -> preemptible
upvoted 8 times
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5a74493
Most Recent 2 months, 3 weeks ago
Selected Answer: C
For financial institutions, reliability and minimizing interruptions are crucial. While preemptible instances are cost-effective, they do come with the risk of being terminated unexpectedly, which might not be ideal for critical financial applications.
upvoted 1 times
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M25
1 year, 6 months ago
Selected Answer: D
Follows same principle as #70
upvoted 2 times
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Antmal
1 year, 7 months ago
Selected Answer: D
Preemptible v3-8 TPUs are the most cost-effective option for training large TensorFlow models. They are up to 80% cheaper than non-preemptible v3-8 TPUs, and they are only preempted if Google Cloud needs the resources for other workloads. In this case, the model is long-running and checkpointing is used. This means that the training process can be interrupted and resumed without losing any progress. Therefore, preemptible TPUs are a safe choice, as the training process will not be interrupted if the TPU is preempted. The other options are not as cost-effective.
upvoted 1 times
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TNT87
1 year, 8 months ago
Selected Answer: D
Answer D
upvoted 1 times
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ares81
1 year, 10 months ago
Selected Answer: D
Frequent checkpoints --> Preemptible --> D
upvoted 4 times
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mymy9418
1 year, 11 months ago
Selected Answer: D
preemptible is the keyword to me
upvoted 1 times
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A (35%)
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