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| Section | Weight | Objectives |
|---|
| Data Visualization and Communication | | |
| Statistical Methods and Modeling | | |
| Exploratory Data Analysis | | |
| Data Acquisition and Pre-Processing | 29.2% | |
| SQL and Data Management | | |
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q109-Q114):
NEW QUESTION # 109
Why is it important to use a test dataset separate from the training dataset when evaluating a machine learning model?
- A. To ensure the loss function is minimized
- B. To reduce the number of iterations during training
- C. To evaluate the model's performance on unseen data
- D. To optimize the model's training accuracy
Answer: C
NEW QUESTION # 110
When analyzing a dataset of customer ages, you calculate the mean, median, and mode. What does it indicate if all three values are approximately equal?
- A. The dataset is uniformly distributed
- B. The dataset has a normal distribution
- C. The dataset contains outliers
- D. The dataset is positively skewed
Answer: B
NEW QUESTION # 111
Which practices are typically part of the data integration process?
(Choose two)
- A. Schema alignment
- B. Neural network training
- C. Data encryption
- D. Format standardization
Answer: A,D
NEW QUESTION # 112
Which of the following statements best describes the structural relationship between Pandas Series and DataFrames?
- A. A DataFrame is a one-dimensional array of Series
- B. A Series can only be created from a DataFrame
- C. A Series contains multiple DataFrames
- D. A DataFrame is a two-dimensional container of Series objects
Answer: D
NEW QUESTION # 113
Which of the following would most likely be classified as unstructured data?
- A. Inventory levels in a spreadsheet
- B. Normalized employee database in PostgreSQL
- C. Collection of customer service audio recordings
- D. Product ID and price list in a CSV
Answer: C
NEW QUESTION # 114
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