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| Section | Weight | Objectives |
|---|
| Topic 1: Data Visualization and Communication | | |
| Topic 2: SQL and Data Management | | |
| Topic 3: Data Acquisition and Pre-Processing | 29.2% | |
| Topic 4: Exploratory Data Analysis | | |
| Topic 5: Statistical Methods and Modeling | | |
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q20-Q25):
NEW QUESTION # 20
Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:
- A. Heatmap
- B. Scatter plot
- C. Histogram
- D. Line chart
Answer: A,B
NEW QUESTION # 21
Which of the following practices contributes most to making Python scripts modular and maintainable?
- A. Hard-coding file paths in every function
- B. Using global variables freely
- C. Structuring code with reusable functions and modules
- D. Writing all logic in the global scope
Answer: C
NEW QUESTION # 22
What is the primary purpose of using a requirements.txt file in Python-based data projects?
- A. To track script runtime dependencies during execution
- B. To list the packages and versions required for consistent environment setup
- C. To automatically compress source code for deployment
- D. To store the current working directory of Python modules
Answer: B
NEW QUESTION # 23
What is the purpose of using the groupby() function in a Pandas DataFrame when analyzing a dataset with multiple categories and numerical values?
- A. To sort the DataFrame by a specific column
- B. To split the data into subgroups for aggregation
- C. To append new rows to the DataFrame
- D. To filter rows based on index values
Answer: B
NEW QUESTION # 24
Which techniques are commonly used to manage type conversion between SQL and Python when importing database values?
(Choose two)
- A. Using a mapping function to convert SQL types into Python objects
- B. Defining column types in Python using sqlite3.register_converter()
- C. Ignoring data types and treating everything as strings
- D. Automatically casting Python variables to SQL column types without validation
Answer: A,B
NEW QUESTION # 25
......
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