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NEW QUESTION 27
You have the process shown in the following exhibit.

Which type AI solution is shown in the diagram?

• A. a computer vision application
• B. a sentiment analysis solution
• C. a machine learning model
• D. a chatbot

Answer: D

NEW QUESTION 28
You have an Azure Machine Learning pipeline that contains a Split Data module. The Split Data module outputs to a Train Model module and a Score Model module. What is the function of the Split Data module?

• A. creating training and validation datasets
• B. diverting records that have missing data
• C. selecting columns that must be included in the model
• D. scaling numeric variables so that they are within a consistent numeric range

Answer: C

NEW QUESTION 29
You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table.

For each of the following Statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:
Explanation

NEW QUESTION 30
To complete the sentence, select the appropriate option in the answer area.
Using Recency, Frequency, and Monetary (RFM) values to identify segments of a customer base is an example of___________

Answer:

Explanation:

NEW QUESTION 31
Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

• A. pipeline
• B. dataset
• C. compute
• D. module

Answer: B,D

Explanation:
Section: Describe fundamental principles of machine learning on Azure
Explanation:
You can drag-and-drop datasets and modules onto the canvas.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer

NEW QUESTION 32
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