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| Section | Weight | Objectives |
|---|
| Data Visualization and Communication | | |
| SQL and Data Management | | |
| Data Acquisition and Pre-Processing | 29.2% | |
| Exploratory Data Analysis | | |
| Statistical Methods and Modeling | | |
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q50-Q55):
NEW QUESTION # 50
Which packages are most commonly used together in a data science workflow for data manipulation and visualization?
(Choose two)
- A. pandas
- B. Pygame
- C. NumPy
- D. flask
Answer: A,C
NEW QUESTION # 51
In a scatter plot showing the relationship between advertising spend and sales revenue, the points form a tight upward-sloping pattern. What conclusion can be drawn?
- A. The data shows no apparent relationship
- B. Advertising has no effect on sales
- C. The correlation is weak and likely negative
- D. There is a strong positive correlation
Answer: D
NEW QUESTION # 52
Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:
- A. Line chart
- B. Scatter plot
- C. Histogram
- D. Heatmap
Answer: B,D
NEW QUESTION # 53
Which operations are recommended when organizing messy tabular data in Pandas for further transformation and statistical modeling?
(choose two)
- A. Converting the DataFrame to a Series
- B. Resetting the index after filtering
- C. Dropping column headers
- D. Ensuring consistent data types
Answer: B,D
NEW QUESTION # 54
Which transformation method adjusts the mean of the dataset to 0 and the standard deviation to 1?
- A. Min-max normalization
- B. One-hot encoding
- C. Log transformation
- D. Z-score normalization
Answer: D
NEW QUESTION # 55
......
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