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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

1. In supervised learning, what is the primary goal when training a model on labeled data?

A) To analyze unstructured data formats like text
B) To learn a function that maps inputs to known outputs
C) To discover hidden patterns without outputs
D) To cluster data points into similar groups

2. Which of the following practices improves clarity when combining visualizations and textual explanations in a report?

A) Use visualizations alone without titles or captions
B) Include concise textual summaries that highlight the chart's message
C) Repeat all numerical data in both the chart and text
D) Avoid summarizing the data verbally

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

A) Use == None directly in SQL queries
B) Use Python's None and SQL's IS NULL clause
C) Replace NULL with zero before importing
D) Convert all NULL to string before comparison

4. Which practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)

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

5. What will the following function return?
def average(*args):
return sum(args) / len(args)
average(4, 5, 6)

A) 15
B) 5.0
C) (4, 5, 6)
D) Error

Solutions: