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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Analysis and Visualization | - Data visualization
|
| Data Handling and Processing with Python | - Data manipulation libraries
|
| Basic Statistics for Data Analysis | - Descriptive statistics
|
| Python Programming Fundamentals | - Basic syntax and data types
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
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()
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A script attempts to divide two numbers using / and //. The values are 7 and 2. The developer wants to understand the difference between true division and floor division. What are the results respectively?
- A. 3.5 and 3
- B. 3 and 4
- C. 3 and 3.5
- D. 4 and 3
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You are given a short Python script that uses both arithmetic and assignment operators. The variable x is initialized as 4, then updated using x *= 2 + 3. What will be printed when the final value of x is displayed?
- A. 24
- B. 14
- C. 20
- D. 10
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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. "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."
- B. "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."
- C. The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."
- D. "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."
Explanation: Only visible for VCE4Dumps members. You can sign-up / login (it's free).
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
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