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| Section | Weight | Objectives |
|---|
| Statistical Methods and Modeling | | |
| Exploratory Data Analysis | | |
| SQL and Data Management | | |
| Data Visualization and Communication | | |
| Data Acquisition and Pre-Processing | 29.2% | |
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PCAD-31-02 Hot Questions & PCAD-31-02 Latest Exam Pass4sure
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q85-Q90):
NEW QUESTION # 85
Which of the following techniques are commonly used in the standardization of textual or categorical data during preprocessing?
(Choose two)
- A. Scaling numeric features to a fixed range
- B. Replacing misspellings with a canonical category label
- C. Trimming whitespace from string values
- D. Applying logarithmic transformation to skewed data
Answer: B,C
NEW QUESTION # 86
Why is it important to manage object identity correctly in complex data analysis pipelines?
- A. It prevents reloading modules unnecessarily
- B. It avoids redundant copies and preserves shared state when required
- C. It ensures type casting is consistently applied
- D. It guarantees consistent hashing of string values
Answer: B
NEW QUESTION # 87
Which Python library is most commonly used to establish a connection to a SQLite database and perform SQL operations?
- A. sqlalchemy
- B. pymysql
- C. psycopg2
- D. sqlite3
Answer: D
NEW QUESTION # 88
Which Python tool or library is best suited for retrieving data from HTML tables on web pages?
- A. sqlalchemy
- B. math
- C. re
- D. pandas.read_html()
Answer: D
NEW QUESTION # 89
Which approaches help tailor data visualizations for non-technical stakeholders?
(Choose two)
- A. Focus on trend and summary metrics
- B. Add context through narrative or titles
- C. Use jargon-rich annotations
- D. Use raw code outputs for clarity
Answer: A,D
NEW QUESTION # 90
......
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