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NEW QUESTION: 1
A project manager is assigned to a project and has not had a handover meeting with the previous project manager. The new project manager is reviewing the percent of project completion, schedule progress, and budget constraints.
Which of the following documents should the project manager use to obtain this information?
A. Balanced scorecard
B. Project schedule
C. Issue log
D. Status report
Answer: D
Explanation:
References: Kim Heldman, CompTIA Project+ Study Guide, 2nd Edition, Sybex, Indianapolis, 2017, p. 328

NEW QUESTION: 2
You are testing the processing of a critical traffic control system to which various regulations apply. The processing of the input variables is dependent of defined ranges within which the actual retrieved data values can lie. Which of the following test techniques will you use to the processing functionality of the traffic control system? [K4] 3 credits
A. exploratory testing
B. state transition testing
C. equivalence partitioning enhanced with boundary value analysis
D. defect taxonomies
Answer: C

NEW QUESTION: 3
You have a Windows Server 2008 R2 Hyper-V server.
You need to ensure that you are prompted to specify a custom snapshot name when you create a snapshot.
What should you use to create the snapshot?
A. Hyper-V Manager
B. the Backup command-line tool (also known as wbadmin.exe)
C. the Virtual Machine Connection window
D. Windows Server Backup
Answer: C
Explanation:
Explanation/Reference:
Virtual Machine Connection is a tool that you use to connect to a virtual machine so that you can install or interact with the guest operating system in a virtual machine. Some of the tasks that you can perform by using Virtual Machine Connection include the following:
Connect to the video output of a virtual machine Control the state of a virtual machine Take snapshots of a virtual machine Modify the settings of a virtual machine http://technet.microsoft.com/en-us/library/cc742407.aspx

NEW QUESTION: 4
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:
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