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NEW QUESTION 45
You lead a data science team at a large international corporation. Most of the models your team trains are large-scale models using high-level TensorFlow APIs on AI Platform with GPUs. Your team usually takes a few weeks or months to iterate on a new version of a model. You were recently asked to review your team's spending. How should you reduce your Google Cloud compute costs without impacting the model's performance?

  • A. Use AI Platform to run distributed training jobs without checkpoints.
  • B. Migrate to training with Kuberflow on Google Kubernetes Engine, and use preemptible VMs without checkpoints.
  • C. Migrate to training with Kuberflow on Google Kubernetes Engine, and use preemptible VMs with checkpoints.
  • D. Use AI Platform to run distributed training jobs with checkpoints.

Answer: B

 

NEW QUESTION 46
A Machine Learning Specialist is preparing data for training on Amazon SageMaker. The Specialist is using one of the SageMaker built-in algorithms for the training. The dataset is stored in .CSV format and is transformed into a numpy.array, which appears to be negatively affecting the speed of the training.
What should the Specialist do to optimize the data for training on SageMaker?

  • A. Transform the dataset into the RecordIO protobufformat.
  • B. Use the SageMaker batch transform feature to transform the training data into a DataFrame.
  • C. Use AWS Glue to compress the data into the Apache Parquet format.
  • D. Use the SageMaker hyperparameter optimization feature to automatically optimize the data.

Answer: A

 

NEW QUESTION 47
You are an ML engineer at a regulated insurance company. You are asked to develop an insurance approval model that accepts or rejects insurance applications from potential customers. What factors should you consider before building the model?

  • A. Traceability, reproducibility, and explainability
  • B. Differential privacy federated learning, and explainability
  • C. Redaction, reproducibility, and explainability
  • D. Federated learning, reproducibility, and explainability

Answer: A

 

NEW QUESTION 48
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