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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Handling and Processing with Python | - Data manipulation libraries
|
| Topic 2: Data Analysis and Visualization | - Data visualization
|
| Topic 3: Python Programming Fundamentals | - Basic syntax and data types
|
| Topic 4: Basic Statistics for Data Analysis | - Descriptive statistics
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
1. A script attempts to divide two numbers using / and //. The values are 7 and 2. The developer wants to understand the difference between true division and floor division. What are the results respectively?
A) 4 and 3
B) 3.5 and 3
C) 3 and 3.5
D) 3 and 4
2. An online retailer collects customer reviews, order transaction logs, and product ratings.
Which of the following correctly classifies these types of data? Select the best answer.
A) Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative
B) Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.
C) Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.
D) Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
3. A program compares two values using == and is. The variables a = 256 and b = 256 are defined.
What is the expected result of a is b in most Python implementations?
A) True
B) None
C) Error
D) False
4. A teacher wants to compare the number of students in different school clubs:
Which type of chart would be most appropriate to show this comparison? Select the best answer.
A) Pie chart
B) Line chart
C) Bar chart
D) Bubble chart
5. How do the analysis and visualization stages of the data lifecycle typically work together?
A) Analysis retrieves raw inputs from dashboards, while visualization uses that input to clean the data.
B) Analysis produces charts and graphs, while visualization interprets the data to detect outliers.
C) Analysis identifies patterns and insights in processed data, which are then communicated through visualizations for informed decision-making.
D) Analysis summarizes archived data, and visualization transforms it into structured tables for storage.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: C |
