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NEW QUESTION: 1
Click the Exhibit tab to view the exhibit.
A user is rearranging clips in the sequence as shown in the exhibit.
What happens when the user releases the mouse after clicking and dragging?
A. The clip will overwrite the existing clip and the audio will be split and moved.
B. The clip will be inserted between the existing clips.
C. The clip will be inserted between the existing clips and the audio will be split and moved.
D. The clip will overwrite the existing clip.
Answer: C
NEW QUESTION: 2
A customer has an Enterprise Subscription Agreement.
The customer has the following deployed:
* Microsoft Exchange Server 2013 Enterprise Edition
* Microsoft System Center 2012 92 Datacenter Edition
* Microsoft System Center 2012 R2 Standard Edition
* Microsoft Office Professional Plus 2013
* Windows Server 2012 R2 Datacenter
* Windows Server 2012 R2 Standard
* Microsoft SharePoint Server 2013
* Windows 8.1 Pro
The company is evaluating the implementation of Hyper-V and the live migration of virtual machines.
To which product does the License Mobility within Server Farms right apply?
A. Microsoft System Center 2012 R2 Datacenter Edition
B. Windows Server 2012 R2 Standard
C. Office Professional Plus 2013
D. Exchange Server 2013 Enterprise Edition
Answer: D
Explanation:
Explanation: Products-like Microsoft SharePoint and Microsoft Exchange-that are identified as eligible for License Mobility within Server Farms in the Microsoft Product Use Rights (PUR) document will be available for License Mobility.
Reference: License Mobility Through Software Assurance
NEW QUESTION: 3
次の傾向のうち、情報セキュリティプログラムの成熟度が向上していることを最もよく示しているのはどれですか？
A. 残存リスクの減少
B. 全体的なセキュリティ資金の増加
C. セキュリティインシデントの数の減少
D. 実行されたコントロール自己評価（CSA）の増加
Answer: C
NEW QUESTION: 4
You are creating a machine learning model in Python. The provided dataset contains several numerical columns and one text column. The text column represents a product's category. The product category will always be one of the following:
* Bikes
* Cars
* Vans
* Boats
You are building a regression model using the scikit-learn Python package.
You need to transform the text data to be compatible with the scikit-learn Python package.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: pandas as df
Pandas takes data (like a CSV or TSV file, or a SQL database) and creates a Python object with rows and columns called data frame that looks very similar to table in a statistical software (think Excel or SPSS for example.
Box 2: transpose[ProductCategoryMapping]
Reshape the data from the pandas Series to columns.
Reference:
https://datascienceplus.com/linear-regression-in-python/