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NEW QUESTION: 1
What is the purpose of a storage agent?
A. Tracks storage utilization
B. Acts as a failover path for the TSM server
C. Manages the performance of the data transfer over SAN
D. Enables LANFree backups
Answer: C
NEW QUESTION: 2
Which of the following steps will you take to protect your worksheet from unauthorized access?
A. Home > Format > Protect Sheet
B. Format > Worksheet > Lock Sheet
C. Insert > Format > Protect Sheet
D. Format > Protect Sheet > Lock Sheet
Answer: A
Explanation:
Take the following steps to protect a worksheet:
Go to the Format drop down icon in the Home tab.
Select the Protect Sheet option.
Fill the password in the Protect Sheet dialog box and re-enter the password in the Confirm Password dialog box.
After completing the above process, an error message will occur while editing the sheet.
Answer options B, A, and D are incorrect. These are not valid steps to protect your worksheet from unauthorized access.
Reference:
Chapter: ADVANCED SPREADSHEETS
Objective: Editing
NEW QUESTION: 3
You need to replace the missing data in the AccessibilityToHighway columns.
How should you configure the Clean Missing Data module? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Replace using MICE
Replace using MICE: For each missing value, this option assigns a new value, which is calculated by using a method described in the statistical literature as "Multivariate Imputation using Chained Equations" or "Multiple Imputation by Chained Equations". With a multiple imputation method, each variable with missing data is modeled conditionally using the other variables in the data before filling in the missing values.
Scenario: The AccessibilityToHighway column in both datasets contains missing values. The missing data must be replaced with new data so that it is modeled conditionally using the other variables in the data before filling in the missing values.
Box 2: Propagate
Cols with all missing values indicate if columns of all missing values should be preserved in the output.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data