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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. CustRantanglnfo
D. custrantanginfo
Answer: C
NEW QUESTION: 2
HOTSPOT
A. Port-channel 201 is operation correctly.
B. LACP is not enabled on port-channel 201.
C. Rapid PVST is not running on port-channel 201.
D. Port-channel 201 requires at least two members for load-balancing purposes before it becomes active.
Answer: A
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. PAT uses destination port numbers identity address mappings
B. One-to-one mapping denies outside traffic from accessing an inside host
C. Dynamic NAT allows hosts inside a network to use a pool of addresses to access hosts outside the network
D. Static NAT release the translated address for use by another device when it is inactive
E. Static NAT supports a one-to-one address mapping
Answer: C,E
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/