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NEW QUESTION: 1
You are using the Visual Studio development environment to perform a customization for your client.
You need to follow best practices to create a new table to store customer ranking information for each customer.
What should you name this new table element?
A. Custrantanginfo
B. custRantanglnfo
C. custrantanginfo
D. CustRantanglnfo
Answer: D
NEW QUESTION: 2
HOTSPOT
A. Rapid PVST is not running on port-channel 201.
B. LACP is not enabled on port-channel 201.
C. Port-channel 201 requires at least two members for load-balancing purposes before it becomes active.
D. Port-channel 201 is operation correctly.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Port-channel 201 is operating correctly.
Port-channel 201 is operationally up with one single member.
NEW QUESTION: 3
Which two statements about NAT are true? (Choose two)
A. Dynamic NAT allows hosts inside a network to use a pool of addresses to access hosts outside the network
B. PAT uses destination port numbers identity address mappings
C. Static NAT release the translated address for use by another device when it is inactive
D. Static NAT supports a one-to-one address mapping
E. One-to-one mapping denies outside traffic from accessing an inside host
Answer: A,D
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/