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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:

1. Which characteristics are typically associated with supervised learning algorithms?
(Choose two)

A) They require labeled training data
B) They automatically detect outliers
C) They are useful for regression and classification tasks
D) They work only with numerical features

2. Which methods are typically used to assess relationships between variables in exploratory data analysis?
(Choose two)

A) Scatter plots
B) Histogram analysis
C) Correlation matrix
D) Box plots

3. What is the main purpose of validating a dataset before applying statistical analysis?

A) To ensure the dataset meets expected quality and structure
B) To sort the data alphabetically
C) To generate more columns from the dataset
D) To visualize patterns more clearly

4. Which approaches help tailor data visualizations for non-technical stakeholders?
(Choose two)

A) Use raw code outputs for clarity
B) Focus on trend and summary metrics
C) Use jargon-rich annotations
D) Add context through narrative or titles

5. What is a key advantage of using the Parquet file format over CSV in large-scale data pipelines?

A) Parquet stores data in plain text, making it human-readable
B) Parquet supports schema evolution and columnar storage
C) Parquet files can only be used with Excel
D) Parquet offers row-based compression

Solutions: