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NEW QUESTION: 1
Your company has two servers that run Windows Server 2008 R2 named Server2 and Server3. Both servers have the DNS Server server role installed. Server3 is configured to forward all DNS requests to Server2. You update a DNS record on Server2.
You need to ensure that Server3 is able to immediately resolve the updated DNS record. What should you do?
A. IncreasetheRetryIntervalvalueontheStartofAuthority(SOA)recordofna.contoso.com to 15 minutes.
B. DecreasetheTime-to-Live(TTL)ontheStartofAuthority(SOA)recordofna.contoso.com to 15 minutes.
C. Run the dnscmd . /clearcache command on Server3.
D. Run the ipconfig /flushdns command on Server3.
Answer: C
Explanation:
dnscmd /clearcache Clears the DNS server cache.
Clears the DNS cache memory of resource records on the specified DNS server.
dnscmd [<ServerName>] /clearcache

NEW QUESTION: 2
What are key activates of the Prepare phase of the SAP Activate methodology?
There are 3 correct answers to this question.
Response:
A. User training
B. Data migration
C. System provisioning
D. Project setup
E. Customer self-enablement
Answer: C,D,E

NEW QUESTION: 3
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/