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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:
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
Correct Answer: D π³οΈ
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
Correct Answer: C,D π³οΈ
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
Correct Answer: B π³οΈ
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
Correct Answer: A π³οΈ
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
Correct Answer: B π³οΈ
