Free Python Institute PCAD-31-02 Practice Test & Real Exam Questions

Exam Code/Number: PCAD-31-02
Exam Name/Title: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
Certification Provider: Python Institute
Corresponding Certification: Python Institute Certification

Exam Questions: 146
Updated On: Jul 07, 2026

Question #15

What does the describe() method in Pandas provide when applied to a numerical DataFrame column?

A. Only the standard deviation of the data

B. A normalized version of the data column

C. A histogram of the data distribution

D. Basic descriptive statistics such as count, mean, and quartiles

Discussion 0

Correct Answer: D Vote an answer

Question #16

What is the primary difference between the == operator and the is operator in Python when used in a data pipeline?

A. is compares dictionary keys, while == compares keys and values

B. == checks identity, while is compares memory addresses

C. is checks value equality, while == checks for data type compatibility

D. == compares values for equality, while is checks for object identity

Discussion 0

Correct Answer: D Vote an answer

Question #17

How would you extract the last three rows of a DataFrame df using position-based indexing?

A. df.loc[-3:]

B. df.iloc[-3:]

C. df.tail(3)

D. df[-3]

Discussion 0

Correct Answer: B Vote an answer

Question #18

What is the best approach when comparing SQL NULL values with Python data during conditional checks?

A. Use == None directly in SQL queries

B. Replace NULL with zero before importing

C. Convert all NULL to string before comparison

D. Use Python's None and SQL's IS NULL clause

Discussion 0

Correct Answer: D Vote an answer

Question #19

What is the primary reason to use .head() and .tail() methods in pandas when exploring datasets?

A. To preview the first and last few rows of data

B. To delete missing values

C. To create visualizations

D. To rename columns

Discussion 0

Correct Answer: A Vote an answer

Question #20

Which type of chart is most appropriate when comparing the distribution of a numerical variable across multiple categories?

A. Scatter plot

B. Pie chart

C. Line chart

D. Box plot

Discussion 0

Correct Answer: D Vote an answer

Question #21

Which of the following libraries is specifically optimized for high-performance numerical computation with multi-dimensional arrays in Python?

A. seaborn

B. NumPy

C. matplotlib

D. pandas

Discussion 0

Correct Answer: B Vote an answer

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