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| Section | Weight | Objectives |
|---|
| Topic 1: Statistical Methods and Modeling | | |
| Topic 2: Exploratory Data Analysis | | |
| Topic 3: Data Visualization and Communication | | |
| Topic 4: SQL and Data Management | | |
| Topic 5: Data Acquisition and Pre-Processing | 29.2% | |
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q58-Q63):
NEW QUESTION # 58
Which data collection method is most appropriate when gathering opinions from a target audience at scale?
- A. Surveys
- B. Sensor logs
- C. Transactional data
- D. Web scraping
Answer: A
NEW QUESTION # 59
Which Python constructs are useful for comparing and managing object identity in a data pipeline?
(Choose all that apply)
- A. is operator for memory-level comparison
- B. str() function to convert data formats
- C. id() function to retrieve unique object identifiers
- D. == operator for checking value equivalence
Answer: A,C
NEW QUESTION # 60
Which Python library is most commonly used to establish a connection to a SQLite database and perform SQL operations?
- A. sqlite3
- B. sqlalchemy
- C. psycopg2
- D. pymysql
Answer: A
NEW QUESTION # 61
What is the outcome of the following code?
data = [5, 10, 15]
result = [x**2 for x in data if x > 5]
print(result)
- A. [100, 225]
- B. [25, 100, 225]
- C. [10, 15]
- D. [25, 100]
Answer: A
NEW QUESTION # 62
What is the benefit of using the __name__ == "__main__" construct in Python scripts?
- A. It allows selective execution of code when run as a script
- B. It prevents modules from being imported
- C. It allows access to all global variables
- D. It defines the main function in Python
Answer: A
NEW QUESTION # 63
......
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