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Python Institute PCED-30-02 Exam Syllabus Topics:

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

Question 1

A Python script includes the expression not False and True. The developer is unsure how logical operators are evaluated in terms of precedence. What will be the final Boolean result of this expression?

A. Error
B. False
C. None
D. True

Question 2

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, 2, 3, 4, 5
B. 1, 3, 5
C. 1, 3
D. 2, 4, 6

Question 3

You have a list of test scores, where each entry includes a student name and a score. Some students appear more than once. You want to compute the average score for each student and store the results in a dictionary. Here's the partial code block:

Which code correctly replaces the # MISSING CODE comment to calculate the average score for each student? Select the best answer.

A.

B.

C.

D.

Question 4

The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

A. More time is spent commuting than on leisure.
B. Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
C. Sleep and school take up the majority of time in a day.
D. Commuting is the second most time-consuming activity.
E. School and homework together take up half of the day's time.
F. Leisure and meals combined equal the time spent at school.

Question 5

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

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

Solutions: