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Python Institute PCED-30-02 exam : PCED - Certified Entry-Level Data Analyst with Python

PCED-30-02 Exam Simulator
  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Aug 18, 2026
  • Q & A: 52 Questions and Answers
  • Python Institute PCED-30-02 Q&A - in .pdf

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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionObjectives
Topic 1: Python Programming Fundamentals- Basic syntax and data types
  • 1. Control flow basics
    • 2. Variables and operators
      Topic 2: Basic Statistics for Data Analysis- Descriptive statistics
      • 1. Mean, median, mode
        • 2. Variance and standard deviation
          Topic 3: Data Analysis and Visualization- Data cleaning and preprocessing
          • 1. Missing values handling
            • 2. Data transformation techniques
              - Data visualization
              • 1. Plot interpretation
                • 2. Matplotlib basics
                  Topic 4: Data Handling and Processing with Python- Data manipulation libraries
                  • 1. Pandas fundamentals
                    • 2. NumPy basics
                      - Working with data structures
                      • 1. Lists, tuples, dictionaries
                        • 2. Iterating and transformations

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

                          1. A health researcher uses wearable devices to record physical activity and sends a survey to randomly selected participants across age groups.
                          Why can this approach be effective? Select the best answer.

                          A) It limits sampling to one demographic, ensuring high-quality data within a specific group.
                          B) It relies on observational methods, which are more accurate than surveys or sensors.
                          C) It uses unstructured interviews to validate automated tracking, improving bias detection.
                          D) It combines automated data collection with representative sampling, reducing the risk of bias.


                          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.split(', ').trim()
                          B) fields = line.strip().split(', ')
                          C) fields = line.split().strip(', ')
                          D) fields = line.replace(', ', '|').split('|')


                          3. You are writing a function to validate battery voltage readings. The rules are:
                          - If the reading is "MISSING"or None, return "Missing".
                          - If the value is below 2.5or above 4.2, return "Outlier".
                          Otherwise, return "Normal".
                          Which version correctly implements this logic using the most robust conditional and nested structures? Select the best answer.

                          A)

                          B)

                          C)

                          D)


                          4. You want to safely read the contents of a file named records.txtand store them in a list. Your requirements are:
                          - The file should be automatically closed after reading,
                          - The code should check whether the file exists before opening it, and
                          - It should handle missing file errors gracefully.
                          Which of the following is the most appropriate way to accomplish this task in Python? Select the best answer.

                          A)

                          B)

                          C)

                          D)


                          5. 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) SQL, because it directly converts tabular data into database tables that Excel can open.
                          C) CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.
                          D) JSON, because it stores hierarchical data and is designed for visual presentation in Excel.


                          Solutions:

                          Question # 1
                          Answer: D
                          Question # 2
                          Answer: B
                          Question # 3
                          Answer: B
                          Question # 4
                          Answer: C
                          Question # 5
                          Answer: C

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