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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Acquisition and Pre-Processing | 29.2% | |
| Topic 2: Statistical Methods and Modeling | ||
| Topic 3: SQL and Data Management | ||
| Topic 4: Data Visualization and Communication | ||
| Topic 5: Exploratory Data Analysis |
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. Which techniques can be used to select a subset of rows and columns from a DataFrame using labels?
(Choose two)
A) df.loc[:, 'col1']
B) df['col1', 'col2']
C) df.iloc[0:5, 'col2']
D) df.loc[2:7, ['col1', 'col2']]
2. What is a major challenge in aggregating data from multiple sources?
Response:
A) Overfitting in predictive models
B) Increased algorithmic complexity
C) Excessive disk space usage
D) Duplicate records and format inconsistencies
3. Which of the following is the most suitable data structure in Python for representing a tabular row with column names?
A) tuple
B) list
C) set
D) dictionary
4. When merging two Pandas DataFrames using a common key, which parameters are essential to ensure accurate and conflict-free results?
(Choose two)
A) suffixes
B) ignore_index
C) on
D) dropna
5. Which storage system is best suited for storing and retrieving large volumes of unstructured data, such as images or logs?
A) Object storage systems
B) Relational databases
C) In-memory databases
D) Data cubes
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: A,C | Question # 5 Answer: A |




