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NEW QUESTION: 1
You are creating an experiment by using Azure Machine Learning Studio.
You must divide the data into four subsets for evaluation. There is a high degree of missing values in the data.
You must prepare the data for analysis.
You need to select appropriate methods for producing the experiment.
Which three modules should you run in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:
Explanation:

Explanation

The Clean Missing Data module in Azure Machine Learning Studio, to remove, replace, or infer missing values.

NEW QUESTION: 2
Your customer has enabled the notification Participant Feedback - Worker deletes participant. One of the workers has an open performance document and requested a
Participant Feedback. In the middle of the performance cycle the worker had a Line manager change, but the worker's performance document owner remained the old manager. The worker deletes a feedback participant since the feedback was no longer required by the previous co-owner.
Which two will be receiving a notification for this action? (Choose two.)
A. Current Line Manager
B. HR Specialist
C. Feedback Participant
D. Worker
E. Old Line Manager
Answer: A,C

NEW QUESTION: 3
SAP HANA is used extensively in __________ to process and analyse massive amount of real time date.
A. Memory Compuring Engine
B. None of the above
C. Memory Computing Engine
D. Memory Compensating Engine
Answer: C