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Get the Python Institute PCAD-31-02 Certification within the Target Period
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q95-Q100):NEW QUESTION # 95
Which of the following libraries is specifically optimized for high-performance numerical computation with multi-dimensional arrays in Python?
- A. matplotlib
- B. seaborn
- C. NumPy
- D. pandas
Answer: C
NEW QUESTION # 96
What is one potential risk of dynamically constructing SQL queries using string concatenation in Python scripts?
- A. Exposure to SQL injection attacks
- B. Increased memory usage
- C. Missing foreign key constraints
- D. Slower database performance
Answer: A
NEW QUESTION # 97
Which approaches are commonly used to extract structured data from APIs in Python?
(Choose two)
- A. Load CSV directly with re.compile()
- B. Access data using requests.get() and parse it with .json()
- C. Open Excel files using matplotlib
- D. Use the requests module to retrieve JSON responses
Answer: B,D
NEW QUESTION # 98
Which method in a Python class is responsible for initializing the object's attributes at the time of creation?
- A. __main__()
- B. __str__()
- C. __init__()
- D. __getattr__()
Answer: C
NEW QUESTION # 99
What does the standard deviation of a dataset represent in the context of statistical analysis?
- A. The most frequently occurring value
- B. The average squared distance from the mean
- C. The number of outliers in the dataset
- D. The sum of all values in the dataset
Answer: B
NEW QUESTION # 100
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