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

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

2. When working with relational databases in Python, what are key components required to establish and manage database connections?
(Choose all that apply)

A) Connection object to interface with the database
B) Database driver or module (e.g., sqlite3)
C) Python's random module for generating keys
D) Cursor object for executing queries

3. Which practices are typically part of the data integration process?
(Choose two)

A) Neural network training
B) Schema alignment
C) Data encryption
D) Format standardization

4. Which technique would be most appropriate to handle missing numerical values in a dataset intended for machine learning?

A) Imputation using mean or median
B) Replacing with NULL
C) Dropping all columns
D) Filling with random values

5. Why is it important to adjust data presentations based on the audience's background?

A) To ensure the data is understood and supports actionable insights
B) To simplify all metrics to percentages only
C) To include as many technical terms as possible
D) To avoid using charts altogether

Solutions: