Python Institute PCED-30-02

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

1. 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) Descriptive analytics - it reports appointment numbers across past seasons.
C) Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
D) Diagnostic analytics - it identifies reasons behind patterns in patient behavior.

2. A health researcher uses wearable devices to record physical activity and sends a survey to randomly selected participants across age groups.
Why can this approach be effective? Select the best answer.

A) It combines automated data collection with representative sampling, reducing the risk of bias.
B) It uses unstructured interviews to validate automated tracking, improving bias detection.
C) It relies on observational methods, which are more accurate than surveys or sensors.
D) It limits sampling to one demographic, ensuring high-quality data within a specific group.

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) "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."
C) "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."
D) The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."

4. You have collected sales data and want to compute the average using the NumPy library.
Which option correctly shows how to install NumPy and use it in your code to perform this task?

A) To install NumPy:
pip install numpy
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data))
B) To install NumPy:
from pip install numpy
Then run this code:
import numpy as np
data = np.array([10, 20, 30])
print(np.mean(data))
C) To install NumPy:
pip install numpy as np
Then run this code:
import np
data = np.array([10, 20, 30])
print(np.mean(data))

5. Given the following string:
text = "Report2024Final"
Which of the following statements are entirely correct? (Choose two.)

A) text.capitalize()changes Report2024Finalto REPORT2024FINAL, and text.find("2024")returns 6
B) text.isalpha()returns True, and text.find ("2024")returns True
C) text[-6].isdigit() returns True, text.startswith("r") returns True
D) text[0:6].isalpha() returns True, and text.find("2024") returns 6
E) text.capitalize()changes Finalto lowercase, and text.find ("L")returns True
F) text[6:8].isdigit()returns True, and text.endswith("Final")returns True

Solutions: