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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. What is the main purpose of validating a dataset before applying statistical analysis?

A) To visualize patterns more clearly
B) To sort the data alphabetically
C) To generate more columns from the dataset
D) To ensure the dataset meets expected quality and structure

2. Which storage system is best suited for storing and retrieving large volumes of unstructured data, such as images or logs?

A) Relational databases
B) Data cubes
C) In-memory databases
D) Object storage systems

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

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

4. 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()

5. What may occur if a model is evaluated using the same data it was trained on?

A) Overgeneralization
B) Underfitting
C) Overfitting
D) Data leakage

Solutions: