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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. When performing bootstrapping on a dataset with 500 observations, what is a typical procedure?

A) Drawing one sample and calculating the mean only once
B) Scaling all values between 0 and 1 before resampling
C) Generating multiple datasets of the same size by randomly sampling with replacement
D) Creating samples by removing all duplicates

2. What does the standard deviation of a dataset represent in the context of statistical analysis?

A) The number of outliers in the dataset
B) The sum of all values in the dataset
C) The average squared distance from the mean
D) The most frequently occurring value

3. Which method in the pandas library allows efficient loading of large datasets in chunks to conserve memory?

A) fetch_chunks()
B) import_csv()
C) load_dataset()
D) read_csv(chunksize=...)

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

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

5. Which practices are considered part of professional Python scripting standards?
(Choose two)

A) Avoiding error handling to keep code clean
B) Avoiding use of modules and libraries
C) Using consistent indentation and naming conventions
D) Including in-line comments and docstrings

Solutions: