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Exam Professional Machine Learning Engineer All Questions

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Exam Professional Machine Learning Engineer topic 1 question 288 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 288
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You have developed an AutoML tabular classification model that identifies high-value customers who interact with your organization's website. You plan to deploy the model to a new Vertex AI endpoint that will integrate with your website application. You expect higher traffic to the website during nights and weekends. You need to configure the model endpoint's deployment settings to minimize latency and cost. What should you do?

  • A. Configure the model deployment settings to use an n1-standard-32 machine type.
  • B. Configure the model deployment settings to use an n1-standard-4 machine type. Set the minReplicaCount value to 1 and the maxReplicaCount value to 8.
  • C. Configure the model deployment settings to use an n1-standard-4 machine type and a GPU accelerator. Set the minReplicaCount value to 1 and the maxReplicaCount value to 4.
  • D. Configure the model deployment settings to use an n1-standard-8 machine type and a GPU accelerator.
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Suggested Answer: B 🗳️
by carolctech at Oct. 26, 2024, 6:27 p.m.

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carolctech
4 weeks ago
Selected Answer: B
B) This option provides the most cost-effective and efficient solution because: 1) Uses a suitably powerful machine type (n1-standard-4 machine) 2) Autoscales with minReplicaCount and maxReplicaCount to adapt to the fluctuating traffic 3) A larger machine type or accelerator is unnecessary. GPU provide better performance for DL models with massive datasets and complex architectures, not for tabular classification models.
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