Test PCAD-31-02 Registration | Examinations PCAD-31-02 Actual Questions

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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Statistical Methods and Modeling
Exploratory Data Analysis
SQL and Data Management
Data Acquisition and Pre-Processing	29.2%
Data Visualization and Communication

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q84-Q89):

NEW QUESTION # 84
Which command should a data analyst use to install the pandas library in a Python environment using the Python Package Index?

A. python get pandas
B. pip install pandas
C. python install pandas
D. install pip pandas

Answer: B

NEW QUESTION # 85
Which techniques can be used to select a subset of rows and columns from a DataFrame using labels?
(Choose two)

A. df['col1', 'col2']
B. df.loc[:, 'col1']
C. df.loc[2:7, ['col1', 'col2']]
D. df.iloc[0:5, 'col2']

Answer: B,C

NEW QUESTION # 86
Which of the following techniques are commonly used in the standardization of textual or categorical data during preprocessing?
(Choose two)

A. Replacing misspellings with a canonical category label
B. Trimming whitespace from string values
C. Scaling numeric features to a fixed range
D. Applying logarithmic transformation to skewed data

Answer: A,B

NEW QUESTION # 87
Which method is typically used in Pandas to check if a column contains only values within an expected range?

A. df.clip()
B. df.sample()
C. df.isin()
D. df.sort_values()

Answer: C

NEW QUESTION # 88
What is the most appropriate way to ensure that a column used as a foreign key contains only valid references to a parent DataFrame in Pandas?

A. Use df.sort_values() to sort both columns before merging
B. Use df.merge() with how='outer'
C. Use df.dropna() on the foreign key column
D. Use .isin() to compare the foreign key column against the parent key column

Answer: D

NEW QUESTION # 89
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