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Python Institute PCAD-31-02 Exam Syllabus Topics:
| 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 |
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. Which SQL commands can be used to modify the contents of a table's data directly?
(Choose all that apply)
A) INSERT
B) DELETE
C) SELECT
D) UPDATE
2. Which transformation method adjusts the mean of the dataset to 0 and the standard deviation to 1?
A) Min-max normalization
B) Z-score normalization
C) Log transformation
D) One-hot encoding
3. What is the most appropriate way to ensure that a column used as a foreign key contains only valid references to a parent DataFrame in Pandas?
A) Use .isin() to compare the foreign key column against the parent key column
B) Use df.merge() with how='outer'
C) Use df.sort_values() to sort both columns before merging
D) Use df.dropna() on the foreign key column
4. Which Python tool or library is best suited for retrieving data from HTML tables on web pages?
A) pandas.read_html()
B) re
C) sqlalchemy
D) math
5. Why is it important to define and apply validation rules consistently across all stages of a data pipeline?
A) It prevents the propagation of corrupted or invalid data
B) It reduces processing time by skipping null checks
C) It automatically optimizes SQL queries
D) It guarantees compatibility with visualization tools
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: D |
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