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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 practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)

A) Automatically converting all text to uppercase
B) Sorting columns alphabetically
C) Defining and enforcing schema constraints
D) Using assertions to enforce domain-specific rules

2. When joining two tables in a relational database using SQL, which clause is used to specify the relationship between their columns?

A) GROUP BY
B) HAVING
C) JOIN ON
D) FROM

3. Which of the following would best validate the uniqueness of a primary key in a Pandas DataFrame?

A) df['id'].duplicated().any()
B) df['id'].isnull().sum()
C) df['id'].fillna()
D) df['id'].nunique()

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

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

5. 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) [10, 15]
B) [100, 225]
C) [25, 100]
D) [25, 100, 225]

Solutions: