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

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) None
B) False
C) True
D) Error

2. You are working with city names entered by users. These names may contain inconsistent capitalization and unwanted spaces.
To standardize the data, you want to:
- Remove any leading or trailing whitespace, and
- Capitalize the first letter of each word (e.g., convert "new york" to "New York").
For example:
" New york " → "New York"
"lOS ANGELES" → "Los Angeles"
You are given a variable citythat contains the raw input.
Which line of code correctly updates the value of cleaned_cityto apply the required transformation? Select the best answer.

A) cleaned_city = city.upper().replace(" ", "")
B) cleaned_city = city.strip().capitalize()
C) cleaned_city = city.strip().title()
D) cleaned_city = city.upper().strip()

3. A programmer writes a script to test operator precedence using the expression 3 + 4 * 2 ** 2. The goal is to evaluate the result correctly based on Python's operator hierarchy rules. What result should the script produce?

A) 35
B) 49
C) 19
D) 28

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

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

Which statements are most accurate? (Choose two.)

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

Solutions: