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Python Institute PCAD-31-02 valid - in .pdf
- Exam Code: PCAD-31-02
- Exam Name: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
- Q & A: 146 Questions and Answers
- PDF Price: $59.99
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- Exam Code: PCAD-31-02
- Exam Name: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
- Q & A: 146 Questions and Answers
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Python Institute PCAD-31-02 valid - Testing Engine
- Exam Code: PCAD-31-02
- Exam Name: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
- Q & A: 146 Questions and Answers
- Software Price: $59.99
- Testing Engine
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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Analysis Fundamentals | 20% | - Introduction to Data Analysis
|
| Working with Data Using Python Libraries | 30% | - Pandas Library
|
| Python Programming for Data Analysis | 30% | - Python Data Types and Structures
|
| Applied Data Analysis Projects | 20% | - Data Analysis Workflow
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Question #1
Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:
- A. Histogram
- B. Scatter plot
- C. Heatmap
- D. Line chart
Correct Answer: B,C 🗳️
Question #2
What is the most efficient way to handle missing values in a Pandas DataFrame when preparing a dataset for analysis that must maintain original index structure and avoid row deletions?
- A. Use drop() to remove null rows
- B. Use fillna() with a constant value
- C. Apply interpolate() method
- D. Use dropna() with axis=1
Correct Answer: B 🗳️
Question #3
Which operations are valid when working with Pandas Series?
(Choose two)
- A. Applying NumPy universal functions
- B. Using .columns to rename
- C. Merging by index using merge()
- D. Arithmetic vector operations
Correct Answer: A,D 🗳️
Question #4
Which method allows you to detect and remove rows with duplicate values across all columns in a Pandas DataFrame?
- A. DataFrame.drop_duplicates()
- B. DataFrame.nunique()
- C. DataFrame.remove_duplicates()
- D. DataFrame.unique()
Correct Answer: C 🗳️
Question #5
What is the correct SQL statement to permanently remove a table named customers from a database?
- A. REMOVE TABLE customers;
- B. DELETE TABLE customers;
- C. DROP TABLE customers;
- D. TRUNCATE TABLE customers;
Correct Answer: C 🗳️
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