Free Professional-Machine-Learning-Engineer Exam Braindumps

You are building a model to predict daily temperatures. You split the data randomly and then transformed the training and test datasets. Temperature data for model training is uploaded hourly. During testing, your model performed with 97

1. A. Normalize the data for the training, and test datasets as two separate steps.
2. B. Split the training and test data based on time rather than a random split to avoid leakage
3. C. Add more data to your test set to ensure that you have a fair distribution and sample for testing
4. D. Apply data transformations before splitting, and cross-validate to make sure that the transformations are applied to both the training and test sets.

Reveal Solution

Correct Answer: C

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?

1. A. Redaction, reproducibility, and explainability
2. B. Traceability, reproducibility, and explainability
3. C. Federated learning, reproducibility, and explainability
4. D. Differential privacy federated learning, and explainability

Reveal Solution

Correct Answer: B