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NEW QUESTION: 1
A company has 30 sites and wants allow dynamic IGP protocol, multicast and non IP traffic between sites.
Which topology should the company implement?
A. dmvpn hub-to-spoke
B. dmvpn spoke-to-spoke
C. vti
D. p2p gre
Answer: D
NEW QUESTION: 2
real-time "scoreboard" current active hardware alarms can be viewed using ___?
A. ATR
B. ASM
C. ALB
D. ALV
Answer: B
NEW QUESTION: 3
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.
Your network contains an Active Directory domain named contoso.com. The domain contains a domain
controller named Server1.
You recently restored a backup of the Active Directory database from Server1 to an alternate Location.
The restore operation does not interrupt the Active Directory services on Server1.
You need to make the Active Directory data in the backup accessible by using Lightweight Directory
Access Protocol (LDAP).
Which tool should you use?
A. Active Directory Users and Computers
B. Dsadd quota
C. Dsacls
D. Dsamain
E. Active Directory Administrative Center
F. Dsmod
G. Ntdsutil
H. Group Policy Management Console
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Dsamain.exe, allows an ntds.dit file to be mounted and exposed as an LDAP server, which means you can
use such familiar tools as ADSIEdit, LDP.exe, and Active Directory Users and Computers to interact with a
mounted database.
References:
http://www.itprotoday.com/windows-8/using-active-directory-snapshots-and-dsamain-tool
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/
