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Question 103/112
You are pre-training a large language model on Google Cloud. This model includes custom TensorFlow operations in the training loop Model training will use a large batch size, and you expect training to take several weeks You need to configure a training architecture that minimizes both training time and compute costs What should you do?
Correct Answer: D
According to the official exam guide1, one of the skills assessed in the exam is to "design, build, and productionalize ML models to solve business challenges using Google Cloud technologies". TPUs2 are Google's custom-developed application-specific integrated circuits (ASICs) used to accelerate machine learning workloads. TPUs are designed to handle large batch sizes, high dimensional data, and complex computations. TPUs can significantly reduce the training time and compute costs of large language models, especially when used with distributed training strategies, such as MultiWorkerMirroredStrategy3. Therefore, option D is the best way to configure a training architecture that minimizes both training time and compute costs for the given use case. The other options are not relevant or optimal for this scenario. References:
* Professional ML Engineer Exam Guide
* TPUs
* MultiWorkerMirroredStrategy
* Google Professional Machine Learning Certification Exam 2023
* Latest Google Professional Machine Learning Engineer Actual Free Exam Questions
* Professional ML Engineer Exam Guide
* TPUs
* MultiWorkerMirroredStrategy
* Google Professional Machine Learning Certification Exam 2023
* Latest Google Professional Machine Learning Engineer Actual Free Exam Questions
- Question List (112q)
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- Question 28: You lead a data science team at a large international corpor...
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- Question 50: You have trained a model by using data that was preprocessed...
- Question 51: You are training a custom language model for your company us...
- Question 52: Your team is building a convolutional neural network (CNN)-b...
- Question 53: You developed a custom model by using Vertex Al to predict y...
- Question 54: You built a deep learning-based image classification model b...
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- Question 68: You have created a Vertex Al pipeline that includes two step...
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- Question 102: You are building a MLOps platform to automate your company's...
- Question 103: You are pre-training a large language model on Google Cloud....
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- Question 106: You need to use TensorFlow to train an image classification ...
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- Question 108: You are building an ML model to detect anomalies in real-tim...
- Question 109: You are developing a custom image classification model in Py...
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- Question 111: You have deployed a scikit-learn model to a Vertex Al endpoi...
- Question 112: You are creating a deep neural network classification model ...
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