DP-100 Practice Test

DP-100 Practice Test practice questions, page 6 of 21, with answer review and explanations.

Question 26

This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements. You are in the process of carrying out feature engineering on a dataset. You want to add a feature to the dataset and fill the column value. Recommendation: You must make use of the Join Data Azure Machine Learning Studio module. Will the requirements be satisfied?

  1. Yes
  2. No

Question 27

This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements. You are in the process of carrying out feature engineering on a dataset. You want to add a feature to the dataset and fill the column value. Recommendation: You must make use of the Edit Metadata Azure Machine Learning Studio module. Will the requirements be satisfied?

  1. Yes
  2. No

Question 28

You have been tasked with ascertaining if two sets of data differ considerably. You will make use of Azure Machine Learning Studio to complete your task. You plan to perform a paired t-test. Which of the following are conditions that must apply to use a paired t-test? (Choose all that apply.)

  1. All scores are independent from each other.
  2. You have a matched pairs of scores.
  3. The sampling distribution of d is normal.
  4. The sampling distribution of x1- x2 is normal.

Question 29

You want to train a classification model using data located in a comma-separated values (CSV) file. The classification model will be trained via the Automated Machine Learning interface using the Classification task type. You have been informed that only linear models need to be assessed by the Automated Machine Learning. Which of the following actions should you take?

  1. You should disable deep learning.
  2. You should enable automatic featurization.
  3. You should disable automatic featurization.
  4. You should set the task type to Forecasting.

Question 30

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?

  1. You should make use of the featurization parameter with the 'auto' value pair.
  2. You should make use of the featurization parameter with the 'off' value pair.
  3. You should make use of the featurization parameter with the 'on' value pair.
  4. You should make use of the featurization parameter with the 'FeaturizationConfig' value pair.