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

Question 1

Which of the following are true characteristics of bootstrapping in statistics?
(Choose two)

A. It assumes a normal distribution
B. It uses random sampling with replacement
C. It requires a large population sample
D. It enables confidence interval estimation

Question 2

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

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

Question 3

Which of the following are key differences between Pandas and NumPy arrays?
(Choose two)

A. NumPy supports string indexing; Pandas does not
B. Pandas Series are more memory efficient than NumPy arrays
C. Pandas integrates better with tabular data and missing values
D. Pandas handles labeled data; NumPy does not

Question 4

Which element is essential to justify a conclusion drawn from a dataset?

A. The origin of the dataset
B. File format of the source data
C. Logical reasoning and supported metrics
D. The use of color in plots

Question 5

What is the main purpose of using the bootstrapping technique in inferential statistics?

A. To increase the number of features in a model
B. To estimate the sampling distribution by resampling with replacement
C. To filter outliers from a dataset
D. To validate the syntax of SQL queries in Python

Solutions: