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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Acquisition and Pre-Processing | 29.2% | |
| Statistical Methods and Modeling | ||
| SQL and Data Management | ||
| Exploratory Data Analysis | ||
| Data Visualization and Communication |
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
What is the main purpose of validating a dataset before applying statistical analysis?
- A. To ensure the dataset meets expected quality and structure
- B. To generate more columns from the dataset
- C. To visualize patterns more clearly
- D. To sort the data alphabetically
Correct Answer: A 🗳️
Which Python feature allows the reuse of logic in different data processing steps, reducing duplication and improving maintainability?
- A. Tuple unpacking
- B. Global variables
- C. Custom functions
- D. Lambda functions
Correct Answer: C 🗳️
Which Python construct allows you to iterate over a list of dictionary values and apply conditional logic to accumulate numerical values that meet a certain threshold?
- A. filter() function with map
- B. for loop with if condition
- C. while loop with try block
- D. lambda expression with reduce
Correct Answer: B 🗳️
Which operations are valid when working with Pandas Series?
(Choose two)
- A. Merging by index using merge()
- B. Using .columns to rename
- C. Arithmetic vector operations
- D. Applying NumPy universal functions
Correct Answer: C,D 🗳️
When working with relational databases in Python, what are key components required to establish and manage database connections?
(Choose all that apply)
- A. Python's random module for generating keys
- B. Cursor object for executing queries
- C. Database driver or module (e.g., sqlite3)
- D. Connection object to interface with the database
Correct Answer: C,D 🗳️
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