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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Exploration and Statistical Analysis | 25% | - Inferential statistics
|
| Topic 2: Data Modeling and Machine Learning Basics | 20% | - Model performance and optimization
|
| Topic 3: Data Acquisition and Preprocessing | 30% | - Data preparation with Pandas and NumPy
|
| Topic 4: SQL and Database Integration | 10% | - Python-database connectivity
|
| Topic 5: Data Visualization and Communication | 15% | - Visualization with Matplotlib and Seaborn
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Question #1
Which method is commonly used to handle missing numerical data in a dataset?
A. Multiplying all missing values by zero
B. Dropping all columns
C. Filling with the mean or median
D. Replacing with text labels
Question #2
Why is it important to define and apply validation rules consistently across all stages of a data pipeline?
A. It guarantees compatibility with visualization tools
B. It automatically optimizes SQL queries
C. It reduces processing time by skipping null checks
D. It prevents the propagation of corrupted or invalid data
Question #3
Why might using a pie chart to represent category proportions be less effective than a bar chart?
A. Pie charts display individual data points more clearly
B. Human perception is less accurate at judging angles than lengths
C. Bar charts are limited to one variable only
D. Pie charts cannot be created using Seaborn
Question #4
Which of the following libraries is specifically optimized for high-performance numerical computation with multi-dimensional arrays in Python?
A. matplotlib
B. NumPy
C. pandas
D. seaborn
Question #5
Which method is typically used in Pandas to check if a column contains only values within an expected range?
A. df.sample()
B. df.clip()
C. df.isin()
D. df.sort_values()
Solutions:
| Question #1 Answer: C | Question #2 Answer: A | Question #3 Answer: B | Question #4 Answer: B | Question #5 Answer: C |
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