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| Section | Weight | Objectives |
|---|
| Topic 1: Data Visualization and Communication | | |
| Topic 2: Exploratory Data Analysis | | |
| Topic 3: Statistical Methods and Modeling | | |
| Topic 4: SQL and Data Management | | |
| Topic 5: Data Acquisition and Pre-Processing | 29.2% | |
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q72-Q77):
NEW QUESTION # 72
Which characteristics are typically associated with supervised learning algorithms?
(Choose two)
- A. They automatically detect outliers
- B. They work only with numerical features
- C. They are useful for regression and classification tasks
- D. They require labeled training data
Answer: C,D
NEW QUESTION # 73
Which methods can be used to validate data types and structure in a Pandas DataFrame?
(Choose two)
- A. df.to_csv()
- B. df.dtypes
- C. df.memory_usage()
- D. df.info()
Answer: B,D
NEW QUESTION # 74
What is the main purpose of defining a class when working with complex data structures in a Python-based analysis project?
- A. To ensure all values are stored as plain strings
- B. To encapsulate related data and behavior for better organization
- C. To define global variables that persist across files
- D. To avoid using loops and conditional logic
Answer: B
NEW QUESTION # 75
You have a list of product prices, and you need to remove duplicate values while maintaining the fastest performance. Which core data structure should you use?
- A. list
- B. dictionary
- C. tuple
- D. set
Answer: D
NEW QUESTION # 76
What is the primary difference between the == operator and the is operator in Python when used in a data pipeline?
- A. is checks value equality, while == checks for data type compatibility
- B. == compares values for equality, while is checks for object identity
- C. is compares dictionary keys, while == compares keys and values
- D. == checks identity, while is compares memory addresses
Answer: B
NEW QUESTION # 77
......
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