PCED - Certified Entry-Level Data Analyst with Python (PCED-30-02) Free Practice Test

Question 1

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

Which statements are most accurate? (Choose two.)

A. Commuting is the second most time-consuming activity.

B. More time is spent commuting than on leisure.

C. Sleep and school take up the majority of time in a day.

D. Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.

E. Leisure and meals combined equal the time spent at school.

F. School and homework together take up half of the day's time.

Correct Answer: C,D

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Question 2

You are given two lists representing daily page views and sign-ups on a website:
views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
You want to:
- remove outliers (views > 600), and
- calculate correlation between the cleaned lists.
Which code accomplishes this correctly? Select the best answer.

A.

B.

C.

D.

Correct Answer: B

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Question 3

You are reviewing a report that compares the number of weekly client meetings and project completion rates across teams. The table below summarizes the data for each team:

Which statement best describes the data shown above? Select the best answer.

A. "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."

B. The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."

C. "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."

D. "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."

Correct Answer: C

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Question 4

A healthcare provider analyzes patient records to determine that appointment cancellations spike during weather alerts and flu season.
What type of analytics is this?

A. Predictive analytics - it uses weather and illness trends to forecast future cancellations.

B. Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.

C. Descriptive analytics - it reports appointment numbers across past seasons.

D. Diagnostic analytics - it identifies reasons behind patterns in patient behavior.

Correct Answer: D

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Question 5

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 structured, analyzed, and interpreted into information - like conversion rates by product - which then builds knowledge of customer preferences.

B. Raw event logs are filtered, aggregated, and formatted into summaries - like total visits per category - which then provide traffic reports.

C. Raw event logs are stored, archived, and indexed - like by user ID and session - which then facilitate audit trails.

D. Raw event logs are validated, organized, and compiled into datasets - like timestamped user actions - which then support system debugging.

Correct Answer: A

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Question 6

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. False

B. Error

C. None

D. True

Correct Answer: D

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Python Institute PCED - Certified Entry-Level Data Analyst with Python (PCED-30-02) Free Practice Test