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

1. Which method is commonly used to handle missing numerical data in a dataset?

A) Replacing with text labels
B) Filling with the mean or median
C) Dropping all columns
D) Multiplying all missing values by zero

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 SQL clause is most appropriate when you need to filter records that meet a specific condition during data retrieval in an analytics pipeline?

A) GROUP BY
B) ORDER BY
C) WHERE
D) HAVING

4. 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) [100, 225]
B) [10, 15]
C) [25, 100, 225]
D) [25, 100]

5. Which SQL commands are typically used to retrieve and manipulate data in a data analysis context?
(Choose all that apply)
Response:

A) ROLLBACK
B) INSERT
C) SELECT
D) UPDATE

Solutions: