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| Section | Weight | Objectives |
|---|
| SQL and Data Management | | |
| Data Visualization and Communication | | |
| Statistical Methods and Modeling | | |
| Exploratory Data Analysis | | |
| Data Acquisition and Pre-Processing | 29.2% | |
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q22-Q27):
NEW QUESTION # 22
Which of the following would most likely be classified as unstructured data?
- A. Collection of customer service audio recordings
- B. Normalized employee database in PostgreSQL
- C. Inventory levels in a spreadsheet
- D. Product ID and price list in a CSV
Answer: A
NEW QUESTION # 23
What is the purpose of using df.loc[2:5, 'column1'] in a Pandas DataFrame?
- A. Returns the entire DataFrame
- B. Returns rows 2 through 5 in 'column1'
- C. Returns rows 2 to 4 in 'column1'
- D. Returns a new DataFrame excluding 'column1'
Answer: B
NEW QUESTION # 24
Which Pandas methods are commonly used to extract central tendency and dispersion insights from a DataFrame?
(Choose two)
- A. sort_values()
- B. pivot_table()
- C. median()
- D. var()
Answer: C,D
NEW QUESTION # 25
What is the primary reason for using parameterized queries instead of directly formatting SQL strings in Python?
- A. To prevent SQL injection vulnerabilities
- B. To reduce the number of SQL statements
- C. To simplify data encryption
- D. To allow dynamic table creation
Answer: A
NEW QUESTION # 26
Which SQL command should a data analyst use to modify existing records in a database table based on specific conditions?
- A. UPDATE
- B. SELECT
- C. CREATE
- D. INSERT
Answer: A
NEW QUESTION # 27
......
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