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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. Which file format is most suitable for exchanging large tabular datasets with consistent column data types across systems?

A) .json
B) .xml
C) .csv
D) .txt

2. Which method allows you to detect and remove rows with duplicate values across all columns in a Pandas DataFrame?

A) DataFrame.nunique()
B) DataFrame.unique()
C) DataFrame.remove_duplicates()
D) DataFrame.drop_duplicates()

3. What is the outcome of the following code?
data = [5, 10, 15]
result = [x**2 for x in data if x > 5]
print(result)

A) [100, 225]
B) [10, 15]
C) [25, 100, 225]
D) [25, 100]

4. What is a major challenge in aggregating data from multiple sources?
Response:

A) Excessive disk space usage
B) Duplicate records and format inconsistencies
C) Increased algorithmic complexity
D) Overfitting in predictive models

5. Which statements correctly describe differences between linear and logistic regression?
(Choose two)

A) Logistic regression outputs probabilities, while linear regression predicts continuous values
B) Linear regression requires target variables to be binary
C) Logistic regression uses the logit function to model relationships
D) Linear regression applies only to classification tasks

Solutions: