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NEW QUESTION: 1
Study the following configuration





Which of the following statements is correct?
A. When the configuration is run in Control Room, it will become stuck in an infinite loop
B. When the configuration is run in Control Room, it will fail with an internal error on the first execution of the 'Switch?' stage with the error: Decision did not result in a yes/no Answer
C. When the configuration is run in Control Room, it will become stuck in an infinite loop until the 'Switch' Session Variable is changed to True in System Manager
D. When the configuration is run in Control Room, it will become stuck in an infinite loop until the 'Switch' Session Variable is changed to True in the Control Room
Answer: D
Explanation:
Explanation
Environment variables value will only be change when the next time process runs and the session variables will change immediately on change in control room.
Session variables values will only be change from the control room and the env variables is only change from the system manager.

NEW QUESTION: 2
A Power customer running AIX asks how they will migrate their AIX environment to PureFlex. Which of the following accomplishes this task?
A. Deploy a mksysb of the existing system
B. VMotion
C. BOS install from DVD
D. Tivoli Storage Manager
Answer: A

NEW QUESTION: 3
You have a Python data frame named salesData in the following format:
The data frame must be unpivoted to a long data format as follows:
You need to use the pandas.melt() function in Python to perform the transformation.
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: dataFrame
Syntax: pandas.melt(frame, id_vars=None, value_vars=None, var_name=None, value_name='value', col_level=None)[source] Where frame is a DataFrame Box 2: shop Paramter id_vars id_vars : tuple, list, or ndarray, optional Column(s) to use as identifier variables.
Box 3: ['2017','2018']
value_vars : tuple, list, or ndarray, optional
Column(s) to unpivot. If not specified, uses all columns that are not set as id_vars.
Example:
df = pd.DataFrame({'A': {0: 'a', 1: 'b', 2: 'c'},
'B': {0: 1, 1: 3, 2: 5},
'C': {0: 2, 1: 4, 2: 6}})
pd.melt(df, id_vars=['A'], value_vars=['B', 'C'])
A variable value
0 a B 1
1 b B 3
2 c B 5
3 a C 2
4 b C 4
5 c C 6
References:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.melt.html