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

1. Which practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)

A) Automatically converting all text to uppercase
B) Using assertions to enforce domain-specific rules
C) Sorting columns alphabetically
D) Defining and enforcing schema constraints

2. Which of the following practices improves clarity when combining visualizations and textual explanations in a report?

A) Include concise textual summaries that highlight the chart's message
B) Use visualizations alone without titles or captions
C) Repeat all numerical data in both the chart and text
D) Avoid summarizing the data verbally

3. Which transformation method adjusts the mean of the dataset to 0 and the standard deviation to 1?

A) Log transformation
B) Z-score normalization
C) Min-max normalization
D) One-hot encoding

4. Which practices enhance both readability and professionalism in spreadsheet formatting?
(Choose two)

A) Applying consistent font and cell styling
B) Aligning column headers to the left
C) Centering all data regardless of type
D) Using uniform date formats across columns

5. In supervised learning, what is the primary goal when training a model on labeled data?

A) To cluster data points into similar groups
B) To learn a function that maps inputs to known outputs
C) To analyze unstructured data formats like text
D) To discover hidden patterns without outputs

Solutions: