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| Section | Weight | Objectives |
|---|
| Statistical Methods and Modeling | | |
| Exploratory Data Analysis | | |
| Data Acquisition and Pre-Processing | 29.2% | |
| SQL and Data Management | | |
| Data Visualization and Communication | | |
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q52-Q57):
NEW QUESTION # 52
What is the primary purpose of using annotations in a data visualization?
- A. To enhance interactivity in static plots
- B. To highlight important data points and provide contextual information
- C. To ensure faster rendering in large datasets
- D. To replace the need for axes
Answer: B
NEW QUESTION # 53
Which of the following practices improves clarity when combining visualizations and textual explanations in a report?
- A. Repeat all numerical data in both the chart and text
- B. Use visualizations alone without titles or captions
- C. Include concise textual summaries that highlight the chart's message
- D. Avoid summarizing the data verbally
Answer: C
NEW QUESTION # 54
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 contains outliers
- B. The dataset is positively skewed
- C. The dataset is uniformly distributed
- D. The dataset has a normal distribution
Answer: D
NEW QUESTION # 55
Which methods are typically used to assess relationships between variables in exploratory data analysis?
(Choose two)
- A. Box plots
- B. Histogram analysis
- C. Scatter plots
- D. Correlation matrix
Answer: C,D
NEW QUESTION # 56
Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:
- A. Histogram
- B. Line chart
- C. Scatter plot
- D. Heatmap
Answer: C,D
NEW QUESTION # 57
......
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