Free Microsoft DP-100 Exam Questions

You use Azure Machine Learning Designer to load the following datasets into an experiment: Dataset1You use Azure Machine Learning Designer to load the following datasets into an experiment: You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets. Solution: Use the Join Data component. Does the solution meet the goal?

You are implementing a machine learning model to predict stock prices. The model uses a PostgreSQL database and requires GPU processing. You need to create a virtual machine that is pre-configured with the required tools. What should you do?

You plan to use the Hyperdrive feature of Azure Machine Learning to determine the optimal hyperparameter values when training a model. You must use Hyperdrive to try combinations of the following hyperparameter values: learning_rate: any value between 0.001 and 0.1 batch_size: 16, 32, or 64 You need to configure the search space for the Hyperdrive experiment. Which two parameter expressions should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

You use Azure Machine Learning Designer to load the following datasets into an experiment: Dataset1You use Azure Machine Learning Designer to load the following datasets into an experiment: You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets. Solution: Use the Join Data component. Does the solution meet the goal?

You are preparing to train a regression model via automated machine learning. The data available to you has features with missing values, as well as categorical features with little discrete values. You want to make sure that automated machine learning is configured as follows: missing values must be automatically imputed. categorical features must be encoded as part of the training task. Which of the following actions should you take?