Python Institute PCED - Certified Entry-Level Data Analyst with Python : PCED-30-02

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Python Institute PCED-30-02 Exam Syllabus Topics:

Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:

1. A Python loop uses range(5, 0, -2) to iterate backward. The programmer expects a decreasing sequence. Which values will actually be generated when this loop runs?

A) 5, 3, 1
B) 4, 2, 0
C) 5, 3
D) 5, 4, 3, 2, 1

2. An e-commerce site records every product view and purchase.
Which of the following best describes how these logs become marketing insights?

A) Raw event logs are stored, archived, and indexed - like by user ID and session - which then facilitate audit trails.
B) Raw event logs are structured, analyzed, and interpreted into information - like conversion rates by product - which then builds knowledge of customer preferences.
C) Raw event logs are validated, organized, and compiled into datasets - like timestamped user actions - which then support system debugging.
D) Raw event logs are filtered, aggregated, and formatted into summaries - like total visits per category - which then provide traffic reports.

3. A loop is designed using range(1, 6, 2) to iterate through numbers. The developer wants to know exactly which values will be generated during execution. Which sequence correctly represents the values produced?

A) 1, 3, 5
B) 1, 2, 3, 4, 5
C) 2, 4, 6
D) 1, 3

4. A program uses while False: followed by print statements inside the loop. The developer expects output. What will actually happen during execution?

A) Infinite loop
B) No execution
C) Prints once
D) Error

5. How do the analysis and visualization stages of the data lifecycle typically work together?

A) Analysis summarizes archived data, and visualization transforms it into structured tables for storage.
B) Analysis identifies patterns and insights in processed data, which are then communicated through visualizations for informed decision-making.
C) Analysis retrieves raw inputs from dashboards, while visualization uses that input to clean the data.
D) Analysis produces charts and graphs, while visualization interprets the data to detect outliers.

Solutions: