Python Institute 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:

1. What is a key assumption of linear regression that distinguishes it from logistic regression?

A) The target variable is unordered categorical
B) Output values must be binary
C) The relationship between predictors and the outcome is linear
D) Predictors must be independent

2. Which practices contribute to better exception handling in data pipelines involving file I/O and numerical computations?
(Choose two)

A) Logging error messages for later inspection during failures
B) Catching all exceptions using a generic except: clause without specifying the error
C) Using specific exception types like FileNotFoundError or ZeroDivisionError
D) Suppressing all error output using pass

3. Which method is typically used in Pandas to check if a column contains only values within an expected range?

A) df.clip()
B) df.sample()
C) df.sort_values()
D) df.isin()

4. What does the describe() method in Pandas provide when applied to a numerical DataFrame column?

A) A histogram of the data distribution
B) Basic descriptive statistics such as count, mean, and quartiles
C) Only the standard deviation of the data
D) A normalized version of the data column

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

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

Solutions: