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| Section | Weight | Objectives |
|---|
| Topic 1: Exploratory Data Analysis | | |
| Topic 2: Data Acquisition and Pre-Processing | 29.2% | |
| Topic 3: SQL and Data Management | | |
| Topic 4: Statistical Methods and Modeling | | |
| Topic 5: Data Visualization and Communication | | |
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Python Institute Free PCAD-31-02 Learning Cram: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) - ITExamDownload 100% Pass For Sure
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q118-Q123):
NEW QUESTION # 118
What is the main reason for using try-except blocks in a data analysis script that reads multiple files?
- A. To automatically restart the script after execution
- B. To gracefully handle runtime errors without crashing the program
- C. To enforce strict type annotations
- D. To ensure functions always return None
Answer: B
NEW QUESTION # 119
Which of the following would best validate the uniqueness of a primary key in a Pandas DataFrame?
- A. df['id'].fillna()
- B. df['id'].duplicated().any()
- C. df['id'].nunique()
- D. df['id'].isnull().sum()
Answer: B
NEW QUESTION # 120
Which features of object-oriented patterns improve clarity and reusability in Python analysis workflows?
(Choose all that apply)
- A. Encapsulating behavior in class methods
- B. Applying inheritance to avoid redundant code
- C. Using global variables instead of object properties
- D. Replacing all functions with lambda expressions
Answer: A,B
NEW QUESTION # 121
Which of the following is the most suitable data structure in Python for representing a tabular row with column names?
- A. set
- B. list
- C. dictionary
- D. tuple
Answer: C
NEW QUESTION # 122
Which operations are valid and commonly used on Python lists during data transformation tasks?
(Choose two)
- A. Append
- B. Key-value mapping
- C. Slicing
- D. Index-based iteration
Answer: A,C
NEW QUESTION # 123
......
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