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

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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

1. What does a Pearson correlation coefficient value of -0.9 imply about the relationship between two numerical variables?

A) A moderate non-linear association
B) No correlation
C) A strong negative linear relationship
D) A weak positive relationship

2. Which of the following would most likely be classified as unstructured data?

A) Normalized employee database in PostgreSQL
B) Product ID and price list in a CSV
C) Collection of customer service audio recordings
D) Inventory levels in a spreadsheet

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

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

4. Which metric is most appropriate for evaluating the accuracy of a classification model?

A) Mean squared error
B) Precision
C) Confusion matrix
D) R-squared

5. Which of the following techniques are commonly used in the standardization of textual or categorical data during preprocessing?
(Choose two)

A) Trimming whitespace from string values
B) Replacing misspellings with a canonical category label
C) Scaling numeric features to a fixed range
D) Applying logarithmic transformation to skewed data

Solutions: