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NEW QUESTION: 1
CORRECT TEXT
How do you bypass password on cisco device?
Answer:
Explanation:
Change the configuration register to 0x2142. With this setting when that router reboots, it bypasses the startup-config and no password is required.

NEW QUESTION: 2
The word privacy is never mentioned in the General Data Protection Regulation (GDPR) text.
Despite this, what would be the best definition of the privacy according to the Regulation?
A. The right to respect for private and family life, for home and communications.
B. The right to have your personal data protected.
C. The right not to have your life monitored by technologies.
D. Have freedom of expression.
Answer: A
Explanation:
Privacy is a right that must be protected, and Data Protection are the measures that will be used to achieve this protection.
Data protection and privacy complement each other, but they are not the same.
A well-known phrase is: "You can have security without privacy, but you cannot have privacy without security".
Recital 4 of the GDPR says:
The processing of personal data should be designed to serve individuals. The right to protection of personal data is not absolute; it must be considered in relation to its role in society and balanced with other fundamental rights, in accordance with the principle of proportionality. This Regulation respects all fundamental rights and observes the freedom and principles recognized in the Charter, enshrined in the Treaties, namely respect for private and family life, home and communications, the protection of personal data, freedom of thought, conscience and religion, freedom of expression and information, freedom of business, the right to action and an impartial tribunal, and cultural, religious and linguistic diversity.

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