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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Visualization and Communication | ||
| SQL and Data Management | ||
| Statistical Methods and Modeling | ||
| Exploratory Data Analysis | ||
| Data Acquisition and Pre-Processing | 29.2% |
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Why is it important to manage object identity correctly in complex data analysis pipelines?
- A. It prevents reloading modules unnecessarily
- B. It guarantees consistent hashing of string values
- C. It ensures type casting is consistently applied
- D. It avoids redundant copies and preserves shared state when required
Correct Answer: D 🗳️
What is a major challenge in aggregating data from multiple sources?
Response:
- A. Increased algorithmic complexity
- B. Duplicate records and format inconsistencies
- C. Excessive disk space usage
- D. Overfitting in predictive models
Correct Answer: B 🗳️
Which of the following are limitations of manual data collection methods?
(Choose two)
- A. High scalability
- B. Seamless integration with big data tools
- C. Increased chance of human error
- D. Time-consuming process
Correct Answer: C,D 🗳️
What is the recommended Python library to connect and extract tabular data directly from an Excel file?
- A. matplotlib
- B. openpyxl
- C. sqlite3
- D. csv
Correct Answer: B 🗳️
What result will the following Pandas expression return: df['Age'].notnull().all()?
- A. Returns True if at least one value in 'Age' is not NULL
- B. Returns True if all values in 'Age' are not NULL
- C. Returns the number of NULL values in 'Age'
- D. Returns True if all values in 'Age' are NULL
Correct Answer: B 🗳️
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