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| Section | Weight | Objectives |
|---|
| Data Visualization and Communication | | |
| SQL and Data Management | | |
| Statistical Methods and Modeling | | |
| Exploratory Data Analysis | | |
| Data Acquisition and Pre-Processing | 29.2% | |
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q68-Q73):
NEW QUESTION # 68
Which operations are valid and commonly used on Python lists during data transformation tasks?
(Choose two)
- A. Append
- B. Index-based iteration
- C. Key-value mapping
- D. Slicing
Answer: A,D
NEW QUESTION # 69
Which of the following best describes the use of relational databases in analytics?
- A. Cannot enforce schema
- B. Best for real-time log ingestion
- C. Suitable for managing tabular structured data
- D. Used only for image processing
Answer: C
NEW QUESTION # 70
Which method is commonly used to handle missing numerical data in a dataset?
- A. Dropping all columns
- B. Replacing with text labels
- C. Filling with the mean or median
- D. Multiplying all missing values by zero
Answer: C
NEW QUESTION # 71
Which characteristics are typically associated with supervised learning algorithms?
(Choose two)
- A. They are useful for regression and classification tasks
- B. They automatically detect outliers
- C. They work only with numerical features
- D. They require labeled training data
Answer: A,D
NEW QUESTION # 72
When merging two Pandas DataFrames using a common key, which parameters are essential to ensure accurate and conflict-free results?
(Choose two)
- A. suffixes
- B. on
- C. dropna
- D. ignore_index
Answer: A,B
NEW QUESTION # 73
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