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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Python Programming for Data Analysis | 30% | - File Operations
|
| Topic 2: Data Analysis Fundamentals | 20% | - Introduction to Data Analysis
|
| Topic 3: Applied Data Analysis Projects | 20% | - Exploratory Data Analysis (EDA)
|
| Topic 4: Working with Data Using Python Libraries | 30% | - NumPy Fundamentals
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
What is a key advantage of using the Parquet file format over CSV in large-scale data pipelines?
- A. Parquet supports schema evolution and columnar storage
- B. Parquet stores data in plain text, making it human-readable
- C. Parquet offers row-based compression
- D. Parquet files can only be used with Excel
Correct Answer: A 🗳️
Which Pandas methods are commonly used to extract central tendency and dispersion insights from a DataFrame?
(Choose two)
- A. var()
- B. median()
- C. sort_values()
- D. pivot_table()
Correct Answer: A,B 🗳️
Which of the following is the most suitable data structure in Python for representing a tabular row with column names?
- A. dictionary
- B. list
- C. tuple
- D. set
Correct Answer: A 🗳️
What is the correct SQL statement to permanently remove a table named customers from a database?
- A. DROP TABLE customers;
- B. DELETE TABLE customers;
- C. REMOVE TABLE customers;
- D. TRUNCATE TABLE customers;
Correct Answer: A 🗳️
Which characteristics are typically associated with supervised learning algorithms?
(Choose two)
- A. They are useful for regression and classification tasks
- B. They require labeled training data
- C. They work only with numerical features
- D. They automatically detect outliers
Correct Answer: A,B 🗳️
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