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NEW QUESTION: 1
You are developing code for a class named Account. The Account class includes the following method:

You need to ensure that overflow exceptions are thrown when there is an error.
Which type of block should you use?
A. unchecked
B. using
C. try
D. checked
Answer: D

NEW QUESTION: 2
After issuing:
function myfunction { echo $1 $2 ; }
in Bash, which output does:
myfunction A B C
Produce?
A. A B C
B. A B
C. C B A
D. B C
E. A C
Answer: B

NEW QUESTION: 3
In network design, a redundant network topology can be used to provide higher reliability for customer services. Which of the following topologies can be used to provide redundancy? (Multiple Choice)
A. Ring topology
B. Dual-star topology
C. Bus topology
D. Star topology
Answer: A,B

NEW QUESTION: 4
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