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| Section | Weight | Objectives |
|---|
| Exploratory Data Analysis | | |
| Data Acquisition and Pre-Processing | 29.2% | |
| SQL and Data Management | | |
| Statistical Methods and Modeling | | |
| Data Visualization and Communication | | |
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Quiz Efficient PCAD-31-02 - Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Trustworthy Exam Content
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q64-Q69):
NEW QUESTION # 64
Which approaches help tailor data visualizations for non-technical stakeholders?
(Choose two)
- A. Use raw code outputs for clarity
- B. Add context through narrative or titles
- C. Focus on trend and summary metrics
- D. Use jargon-rich annotations
Answer: A,C
NEW QUESTION # 65
Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)
- A. Construct queries using f-strings for readability
- B. Sanitize input by replacing dangerous characters with asterisks
- C. Store credentials securely using environment variables
- D. Limit database user permissions to only necessary operations
Answer: C,D
NEW QUESTION # 66
Which Python feature allows the reuse of logic in different data processing steps, reducing duplication and improving maintainability?
- A. Lambda functions
- B. Tuple unpacking
- C. Global variables
- D. Custom functions
Answer: D
NEW QUESTION # 67
What is the recommended Python library to connect and extract tabular data directly from an Excel file?
- A. openpyxl
- B. sqlite3
- C. csv
- D. matplotlib
Answer: A
NEW QUESTION # 68
Which data collection method is most appropriate when gathering opinions from a target audience at scale?
- A. Sensor logs
- B. Surveys
- C. Transactional data
- D. Web scraping
Answer: B
NEW QUESTION # 69
......
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