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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Working with Data Using Python Libraries | 30% | - Pandas Library
|
| Topic 2: Python Programming for Data Analysis | 30% | - File Operations
|
| Topic 3: Applied Data Analysis Projects | 20% | - Data Analysis Workflow
|
| Topic 4: Data Analysis Fundamentals | 20% | - Introduction to Data Analysis
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. Which Python library is most commonly used to establish a connection to a SQLite database and perform SQL operations?
A) pymysql
B) psycopg2
C) sqlalchemy
D) sqlite3
2. Which features are commonly supported by both Matplotlib and Seaborn for customizing visualizations?
(Choose two)
A) Inserting audio annotations
B) Automatic plot animations
C) Adding plot titles and axis labels
D) Changing plot color palettes
3. In a scatter plot showing the relationship between advertising spend and sales revenue, the points form a tight upward-sloping pattern. What conclusion can be drawn?
A) Advertising has no effect on sales
B) There is a strong positive correlation
C) The correlation is weak and likely negative
D) The data shows no apparent relationship
4. Why is it important to use a test dataset separate from the training dataset when evaluating a machine learning model?
A) To evaluate the model's performance on unseen data
B) To optimize the model's training accuracy
C) To reduce the number of iterations during training
D) To ensure the loss function is minimized
5. Which technique would be most appropriate to handle missing numerical values in a dataset intended for machine learning?
A) Replacing with NULL
B) Imputation using mean or median
C) Filling with random values
D) Dropping all columns
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C,D | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: B |



