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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Analysis and Visualization | - Data cleaning and preprocessing
|
| Python Programming Fundamentals | - Basic syntax and data types
|
| Data Handling and Processing with Python | - Working with data structures
|
| Basic Statistics for Data Analysis | - Descriptive statistics
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
1. A teacher wants to compare the number of students in different school clubs:
Which type of chart would be most appropriate to show this comparison? Select the best answer.
A) Pie chart
B) Line chart
C) Bubble chart
D) Bar chart
2. You are writing a function named process_data()to read and process numerical input from a file. The function must:
- read the file data.txt,
- attempt to convert the first line into an integer,
- handle file, conversion, or index-related exceptions,
- print the value only if no error occurs,
- and always print a final message after execution.
Which implementation correctly and robustly meets all these conditions? Select the best answer.
A)
B)
C) 
3. 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) Limiting data access only to marketing staff to streamline personalization.
B) Providing users with a clear explanation of how their data is used and obtaining explicit consent.
C) Implementing encryption for both stored and transmitted customer data.
D) Retaining user data permanently unless users explicitly request deletion.
E) Automatically opting users into data sharing unless they manually change settings.
4. 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) Diagnostic analytics - it identifies reasons behind patterns in patient behavior.
B) Descriptive analytics - it reports appointment numbers across past seasons.
C) Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
D) Predictive analytics - it uses weather and illness trends to forecast future cancellations.
5. What will be the output of the following code?
A) 5 5
B) 10 10
C) 10 5
D) 5 10
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: B,C | Question # 4 Answer: A | Question # 5 Answer: A |


