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| Section | Weight | Objectives |
|---|
| Statistical Methods and Modeling | | |
| Data Visualization and Communication | | |
| Exploratory Data Analysis | | |
| SQL and Data Management | | |
| Data Acquisition and Pre-Processing | 29.2% | |
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q117-Q122):
NEW QUESTION # 117
Which practices are typically part of the data integration process?
(Choose two)
- A. Schema alignment
- B. Data encryption
- C. Neural network training
- D. Format standardization
Answer: A,D
NEW QUESTION # 118
What may occur if a model is evaluated using the same data it was trained on?
- A. Underfitting
- B. Overgeneralization
- C. Overfitting
- D. Data leakage
Answer: C
NEW QUESTION # 119
Which of the following best describes the purpose of the plt.subplot() function in Matplotlib?
- A. It creates a 3D surface plot using pandas
- B. It links Matplotlib with Seaborn's grid styling
- C. It configures multiple plots in a grid layout within a single figure
- D. It overlays multiple plots in the same figure without axes
Answer: C
NEW QUESTION # 120
What is the main purpose of defining a class when working with complex data structures in a Python-based analysis project?
- A. To encapsulate related data and behavior for better organization
- B. To define global variables that persist across files
- C. To ensure all values are stored as plain strings
- D. To avoid using loops and conditional logic
Answer: A
NEW QUESTION # 121
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. [25, 100]
- B. [10, 15]
- C. [25, 100, 225]
- D. [100, 225]
Answer: D
NEW QUESTION # 122
......
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