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NEW QUESTION: 1
What happens if the same version of the file is selected for archive twice?
A. The oldest version of the file will be overwritten.
B. The file is archived twice.
C. The archive job will fail.
D. The most recent version of the file will overwrite any previous versions.
Answer: C
NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are analyzing a numerical dataset which contains missing values in several columns.
You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set.
You need to analyze a full dataset to include all values.
Solution: Replace each missing value using the Multiple Imputation by Chained Equations (MICE) method.
Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation/Reference:
Explanation:
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.
Note: Multivariate imputation by chained equations (MICE), sometimes called "fully conditional specification" or "sequential regression multiple imputation" has emerged in the statistical literature as one principled method of addressing missing data. Creating multiple imputations, as opposed to single imputations, accounts for the statistical uncertainty in the imputations. In addition, the chained equations approach is very flexible and can handle variables of varying types (e.g., continuous or binary) as well as complexities such as bounds or survey skip patterns.
References:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074241/
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data
NEW QUESTION: 3
Which two countermeasures help reduce the risk of playback attacks? (Choose two.)
A. Implement message authentication (HMAC).
B. Use short-lived access tokens.
C. Enable end-to-end encryption.
D. Store data in a NoSQL database.
E. Remove stack traces from errors.
Answer: A,B
NEW QUESTION: 4
Hotspot Question
Your company has a Microsoft Azure Active Directory (Azure AD) tenant and computers that run Windows 10.
The company uses Microsoft Intune to manage the computers.
The Azure AD tenant has the users shown in the following table.
The device type restrictions in Intune are configured as shown in the following table:
User3 is a device enrollment manager (DEM) in Intune.
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:
https://docs.microsoft.com/en-us/intune-user-help/enroll-your-device-in-intune-android