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| Section | Weight | Objectives |
|---|
| Topic 1: SQL and Data Management | | |
| Topic 2: Statistical Methods and Modeling | | |
| Topic 3: Exploratory Data Analysis | | |
| Topic 4: Data Acquisition and Pre-Processing | 29.2% | |
| Topic 5: Data Visualization and Communication | | |
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q122-Q127):
NEW QUESTION # 122
What is the primary reason for using parameterized queries instead of directly formatting SQL strings in Python?
- A. To prevent SQL injection vulnerabilities
- B. To allow dynamic table creation
- C. To simplify data encryption
- D. To reduce the number of SQL statements
Answer: A
NEW QUESTION # 123
Which of the following statements correctly describe best practices when managing Python modules and packages in data analytics workflows?
(Choose two)
- A. Always install packages system-wide for accessibility
- B. Use virtual environments to isolate project dependencies
- C. Use PIP to install and uninstall third-party libraries as needed
- D. Regularly update all packages using pip update all
Answer: B,C
NEW QUESTION # 124
Which of the following would most likely be classified as unstructured data?
- A. Product ID and price list in a CSV
- B. Collection of customer service audio recordings
- C. Inventory levels in a spreadsheet
- D. Normalized employee database in PostgreSQL
Answer: B
NEW QUESTION # 125
Which practices contribute to better exception handling in data pipelines involving file I/O and numerical computations?
(Choose two)
- A. Logging error messages for later inspection during failures
- B. Suppressing all error output using pass
- C. Using specific exception types like FileNotFoundError or ZeroDivisionError
- D. Catching all exceptions using a generic except: clause without specifying the error
Answer: A,B
NEW QUESTION # 126
Which practices help ensure secure and effective execution of SQL queries in Python scripts?
(Choose all that apply)
- A. Using string formatting to build SQL queries dynamically
- B. Employing parameterized statements for user-supplied data
- C. Wrapping SQL commands in try-except blocks
- D. Using string concatenation to insert variables into SQL
Answer: B,C
NEW QUESTION # 127
......
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