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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Working with Data and Performing Simple Analysis | 25% | - Data acquisition and loading
|
| Python Basics for Data Analysis | 32.5% | - Core Python syntax and data types
|
| Data Visualization and Communication | 20% | - Interpreting and presenting results
|
| Introduction to Data and Data Analysis Concepts | 22.5% | - Definition and classification of data
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
1. A loop includes a break statement when a condition is met. The programmer wants to understand how break affects loop execution. What happens when break is executed inside the loop?
A) Error
B) Loop ends immediately
C) Skips one iteration
D) Loop restarts
2. Consider the following Python code:
What will be printed when the code above is executed?
40
A) [20, 30, 40]
1
[1, 2, 4, 5, 6]
B) [10, 20, 30, 40]
1
[1, 2, 4, 5, 6]
50
C) [10, 20, 30, 40]
0
[1, 2, 3, 4, 5, 6]
50
D) [20, 30, 40]
1
[1, 2, 4, 5, 6]
50
3. Which of the following code snippets will output Truefor both printfunctions by correctly identifying the type of each variable and performing valid operations?
A)
B)
C)
D) 
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.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.linspace(0, 181, 10)
target_temps = np.arange(35.0, 37.0, 0.5)
import numpy a3 np
5. An online retailer collects customer reviews, order transaction logs, and product ratings.
Which of the following correctly classifies these types of data? Select the best answer.
A) Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.
B) Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.
C) Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative
D) Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: C |
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