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

1. You are creating a presentation slide to communicate findings about student stress levels across four categories over a six-month period. You include the following line graph in your presentation:

Your goal is to help your audience clearly understand trends in stress levels over time.
What is the highest problem with this visual presentation? Select the best answer.

A) The lines are too light and similar in color, making it difficult to distinguish between trends.
B) The chart should be in 3D format to show depth and highlight differences more clearly.
C) The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.
D) The font used in the chart is hard to read; using larger, uppercase text would improve clarity.
E) The months should be replaced with week numbers to provide more detailed insight.

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

3. You are developing a temperature control module for a laboratory incubator. Your objectives are to:
- generate timestamps every 10 minutes over a 3-hour span (i.e., 0 to 180 minutes), and
- simulate five evenly spaced target temperatures between 35.0°C and 37.0°C for system calibration.
Which code snippet correctly produces both sequences using NumPy? Select the best answer.
import numpy as np

A) timestamps = np.linspace(0, 181, 10)
target_temps = np.arange(35.0, 37.0, 0.5)
import numpy a3 np
B) timestamps = np.arange(0, 181, 10)
target_temps = np.linspace(35.0, 37.0, 5)
C) timestamps = np.linspace(0, 180, 10)
target_temps = np.arange(35.0, 37.0, 5)
import numpy as np
D) timestamps = np.arange(0, 180, 10)
target_temps = np.linspace(35.0, 37.0, 4)
import numpy as np

4. A financial technology company is reviewing its data practices to ensure legal and ethical compliance.
Which of the following actions would support responsible data handling and align with regulations like GDPR, HIPAA, and CCPA? (Choose two.)

A) Automatically opting users into data sharing unless they manually change settings.
B) Implementing encryption for both stored and transmitted customer data.
C) Providing users with a clear explanation of how their data is used and obtaining explicit consent.
D) Limiting data access only to marketing staff to streamline personalization.
E) Retaining user data permanently unless users explicitly request deletion.

5. A Python script evaluates the expression len(" "). The programmer assumes it might be zero because it looks empty. What will the actual result be?

A) None
B) Error
C) 1
D) 0

Solutions: