Python Institute PCAD-31-02 valid exam dumps : Python Institute Certified Associate Data Analyst with Python (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. Which practices contribute to better exception handling in data pipelines involving file I/O and numerical computations?
(Choose two)

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

2. Which Pandas methods are commonly used to extract central tendency and dispersion insights from a DataFrame?
(Choose two)

A) median()
B) pivot_table()
C) sort_values()
D) var()

3. What is the primary purpose of using a requirements.txt file in Python-based data projects?

A) To list the packages and versions required for consistent environment setup
B) To store the current working directory of Python modules
C) To track script runtime dependencies during execution
D) To automatically compress source code for deployment

4. Which actions are valid techniques for handling erroneous categorical values in a dataset?
(Choose two)

A) Converting all values to integers
B) Replacing inconsistent labels with a standardized value
C) Removing rows with invalid labels
D) Normalizing using min-max scaling

5. Why is min-max scaling applied before using algorithms like K-Nearest Neighbors or SVM?

A) To make all features interpretable as binary values
B) To compress all values into integers
C) To prevent features with larger scales from dominating distance calculations
D) To convert strings into numeric values

Solutions: