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NEW QUESTION: 1
A cloud provider is evaluating an insider threat. A resource from the company operations team has access to the servers' virtual disks. This poses a risk that someone could copy and move the virtual server image and have access to the data. Which of the following solutions would help mitigate this problem?
A. Encryption
B. Tokenization
C. Hashing
D. Virtual firewall
Answer: B
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
A. Option B
B. Option A
C. Option C
D. Option D
Answer: C
Explanation:
The question states that you need to ensure that you can revert to the current state of Computer1. The question does not specify what exactly the current state is in terms of software configuration but it would be safe to assume that Computer1 has Windows Store Apps installed, desktop applications installed and some previous Windows Updates installed.
The only way to recover the computer to its 'current' state is to perform a full backup of the computer before updating it. Then if the computer becomes unresponsive after the update, we can simply restore the backup to return the computer to its state at the time of the backup.
NEW QUESTION: 4
Welches der folgenden Beispiele ist eine Zwei-Faktor-Authentifizierung?
A. SSL-Webserverzertifikat und Kennwort
B. Benutzer- und Administratorkennwort
C. Kennwort und Hardware-Token OTP
D. Passwort, Gerätezertifikat und PIN
Answer: C
