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Exam Professional Machine Learning Engineer All Questions

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Exam Professional Machine Learning Engineer topic 1 question 312 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 312
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You need to train a ControlNet model with Stable Diffusion XL for an image editing use case. You want to train this model as quickly as possible. Which hardware configuration should you choose to train your model?

  • A. Configure one a2-highgpu-1g instance with an NVIDIA A100 GPU with 80 GB of RAM. Use float32 precision during model training.
  • B. Configure one a2-highgpu-1g instance with an NVIDIA A100 GPU with 80 GB of RAM. Use bfloat16 quantization during model training.
  • C. Configure four n1-standard-16 instances, each with one NVIDIA Tesla T4 GPU with 16 GB of RAM. Use float32 precision during model training.
  • D. Configure four n1-standard-16 instances, each with one NVIDIA Tesla T4 GPU with 16 GB of RAM. Use floar16 quantization during model training.
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Suggested Answer: B 🗳️
by hit_cloudie at May 21, 2025, 8:56 a.m.

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hit_cloudie
4 weeks, 1 day ago
Selected Answer: B
NVIDIA A100 supports bfloat16, which trains faster and uses less memory than float32, with minimal accuracy loss. Best for high-throughput training.
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