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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. What is the primary reason to use .head() and .tail() methods in pandas when exploring datasets?
A) To delete missing values
B) To create visualizations
C) To preview the first and last few rows of data
D) To rename columns
2. Why is it important to use a test dataset separate from the training dataset when evaluating a machine learning model?
A) To evaluate the model's performance on unseen data
B) To reduce the number of iterations during training
C) To optimize the model's training accuracy
D) To ensure the loss function is minimized
3. Which techniques are most effective when designing reusable and testable functions in Python?
(Choose two)
A) Avoiding external state or side effects
B) Returning print statements instead of values
C) Creating large monolithic functions
D) Use of default parameters
4. Which of the following would best validate the uniqueness of a primary key in a Pandas DataFrame?
A) df['id'].isnull().sum()
B) df['id'].nunique()
C) df['id'].fillna()
D) df['id'].duplicated().any()
5. Why is it important to manage object identity correctly in complex data analysis pipelines?
A) It ensures type casting is consistently applied
B) It prevents reloading modules unnecessarily
C) It guarantees consistent hashing of string values
D) It avoids redundant copies and preserves shared state when required
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: A,D | Question # 4 Answer: D | Question # 5 Answer: D |
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