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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Modeling and Machine Learning Basics | 20% | - Supervised learning fundamentals
|
| Data Visualization and Communication | 15% | - Visualization principles and best practices
|
| Data Acquisition and Preprocessing | 30% | - Data collection, integration and storage
|
| Data Exploration and Statistical Analysis | 25% | - Exploratory data analysis
|
| SQL and Database Integration | 10% | - Python-database connectivity
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Which method in the pandas library allows efficient loading of large datasets in chunks to conserve memory?
- A. load_dataset()
- B. import_csv()
- C. read_csv(chunksize=...)
- D. fetch_chunks()
Correct Answer: C 🗳️
Which method is best suited to transform inconsistent entries such as "N/A", "missing", and empty strings into a standard missing value representation in a Pandas DataFrame?
- A. df.sort_values()
- B. df.replace()
- C. df.dropna()
- D. df.rename()
Correct Answer: B 🗳️
What is the correct SQL statement to permanently remove a table named customers from a database?
- A. DROP TABLE customers;
- B. TRUNCATE TABLE customers;
- C. REMOVE TABLE customers;
- D. DELETE TABLE customers;
Correct Answer: A 🗳️
Which function is used to reshape a NumPy array without modifying the original data values?
- A. flatten()
- B. resize()
- C. transpose()
- D. reshape()
Correct Answer: D 🗳️
Which SQL commands are typically used to retrieve and manipulate data in a data analysis context?
(Choose all that apply)
Response:
- A. ROLLBACK
- B. INSERT
- C. SELECT
- D. UPDATE
Correct Answer: B,C 🗳️
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