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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Acquisition and Pre-Processing | 29.2% | |
| Data Visualization and Communication | ||
| SQL and Data Management | ||
| Exploratory Data Analysis | ||
| Statistical Methods and Modeling |
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
What distinguishes structured data from unstructured data in the context of data modeling and storage?
- A. Structured data cannot be stored in databases
- B. Structured data follows a consistent schema or format
- C. Unstructured data contains only numeric values
- D. Unstructured data cannot be stored or analyzed
Correct Answer: B 🗳️
What is the key difference between the .iloc[] and .loc[] accessors when working with Series or DataFrames?
- A. .iloc[] allows label-based selection
- B. .loc[] can only be used on Series
- C. .loc[] does not allow slicing
- D. .iloc[] is position-based, while .loc[] is label-based
Correct Answer: D 🗳️
What is the best approach when comparing SQL NULL values with Python data during conditional checks?
- A. Convert all NULL to string before comparison
- B. Replace NULL with zero before importing
- C. Use Python's None and SQL's IS NULL clause
- D. Use == None directly in SQL queries
Correct Answer: C 🗳️
When working with relational databases in Python, what are key components required to establish and manage database connections?
(Choose all that apply)
- A. Connection object to interface with the database
- B. Python's random module for generating keys
- C. Database driver or module (e.g., sqlite3)
- D. Cursor object for executing queries
Correct Answer: A,C 🗳️
Which of the following statements best describes the structural relationship between Pandas Series and DataFrames?
- A. A Series can only be created from a DataFrame
- B. A DataFrame is a one-dimensional array of Series
- C. A DataFrame is a two-dimensional container of Series objects
- D. A Series contains multiple DataFrames
Correct Answer: C 🗳️
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