PDF Version DemoPython Institute PCED-30-02 Exam Overview:
| Certification Vendor: | Python Institute (OpenEDG) |
|---|---|
| Exam Name: | PCED™ – Certified Entry-Level Data Analyst with Python |
| Exam Number: | PCED-30-02 |
| Related Certifications: | PCAP™ – Certified Associate in Python Programming PCEP™ – Certified Entry-Level Python Programmer |
| Real Exam Qty: | 40 |
| Passing Score: | 70% |
| Exam Duration: | 60 minutes |
| Certificate Validity Period: | Lifetime |
| Exam Format: | Multiple-select questions, Single-select questions |
| Available Languages: | English, Spanish |
| Exam Price: | USD 69 |
| Recommended Training: | Python for Data Analytics 101 (PD101) PCED Official Study Materials |
| Exam Registration: | Official Registration Page |
| Sample Questions: | Python Institute PCED-30-02 Sample Questions |
| Exam Way: | Online proctored exam via OpenEDG TestNow™ platform |
| Pre Condition: | No formal prerequisites; basic familiarity with Python or programming recommended |
| Official Syllabus URL: | https://pythoninstitute.org/pced-exam-syllabus |
Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Visualization and Communication | 20% | - Interpreting and presenting results
|
| Topic 2: Working with Data and Performing Simple Analysis | 25% | - Exploratory data analysis
|
| Topic 3: Introduction to Data and Data Analysis Concepts | 22.5% | - Definition and classification of data
|
| Topic 4: Python Basics for Data Analysis | 32.5% | - Core Python syntax and data types
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
Question #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
Question #2
You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?
A. fields = line.strip().split(', ')
B. fields = line.split().strip(', ')
C. fields = line.split(', ').trim()
D. fields = line.replace(', ', '|').split('|')
Question #3
A data analyst exports a cleaned dataset from Python and wants to share it with a colleague for easy use in Excel.
Which file format is best suited for this purpose? Select the best answer.
A. XML, because it automatically preserves spreadsheet formatting and charts.
B. JSON, because it stores hierarchical data and is designed for visual presentation in Excel.
C. SQL, because it directly converts tabular data into database tables that Excel can open.
D. CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.
Question #4
A program compares two values using == and is. The variables a = 256 and b = 256 are defined.
What is the expected result of a is b in most Python implementations?
A. True
B. False
C. Error
D. None
Question #5
How do the analysis and visualization stages of the data lifecycle typically work together?
A. Analysis retrieves raw inputs from dashboards, while visualization uses that input to clean the data.
B. Analysis summarizes archived data, and visualization transforms it into structured tables for storage.
C. Analysis produces charts and graphs, while visualization interprets the data to detect outliers.
D. Analysis identifies patterns and insights in processed data, which are then communicated through visualizations for informed decision-making.
Solutions:
| Question #1 Correct Answer: D | Question #2 Correct Answer: A | Question #3 Correct Answer: D | Question #4 Correct Answer: A | Question #5 Correct Answer: D |
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