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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q67-Q72):

NEW QUESTION # 67
Why might using a pie chart to represent category proportions be less effective than a bar chart?

A. Bar charts are limited to one variable only
B. Pie charts cannot be created using Seaborn
C. Human perception is less accurate at judging angles than lengths
D. Pie charts display individual data points more clearly

Answer: C

NEW QUESTION # 68
Which practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)

A. Using assertions to enforce domain-specific rules
B. Sorting columns alphabetically
C. Automatically converting all text to uppercase
D. Defining and enforcing schema constraints

Answer: A,D

NEW QUESTION # 69
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.dropna() on the foreign key column
B. Use df.merge() with how='outer'
C. Use df.sort_values() to sort both columns before merging
D. Use .isin() to compare the foreign key column against the parent key column

Answer: D

NEW QUESTION # 70
Which SQL clause is most appropriate when you need to filter records that meet a specific condition during data retrieval in an analytics pipeline?

A. GROUP BY
B. WHERE
C. ORDER BY
D. HAVING

Answer: B

NEW QUESTION # 71
What is the main purpose of using the bootstrapping technique in inferential statistics?

A. To estimate the sampling distribution by resampling with replacement
B. To increase the number of features in a model
C. To validate the syntax of SQL queries in Python
D. To filter outliers from a dataset

Answer: A

NEW QUESTION # 72
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