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

  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Aug 11, 2026
  • Q & A: 52 Questions and Answers

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Python Institute PCED-30-02 Exam Syllabus Topics:

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

                          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) Loop ends immediately
                          B) Skips one iteration
                          C) Error
                          D) Loop restarts


                          2. You are creating a presentation slide to communicate findings about student stress levels across four categories over a six-month period. You include the following line graph in your presentation:

                          Your goal is to help your audience clearly understand trends in stress levels over time.
                          What is the highest problem with this visual presentation? Select the best answer.

                          A) The months should be replaced with week numbers to provide more detailed insight.
                          B) The lines are too light and similar in color, making it difficult to distinguish between trends.
                          C) The chart should be in 3D format to show depth and highlight differences more clearly.
                          D) The font used in the chart is hard to read; using larger, uppercase text would improve clarity.
                          E) The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.


                          3. A Python script checks membership using "a" in "apple". The developer wants to understand how membership works for strings. What result will this expression produce?

                          A) Error
                          B) None
                          C) True
                          D) False


                          4. 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) Providing users with a clear explanation of how their data is used and obtaining explicit consent.
                          B) Automatically opting users into data sharing unless they manually change settings.
                          C) Limiting data access only to marketing staff to streamline personalization.
                          D) Implementing encryption for both stored and transmitted customer data.
                          E) Retaining user data permanently unless users explicitly request deletion.


                          5. Which task is traditionally or typically performed by a data analyst, and not by a data scientist or analytics specialist? Select the best answer.

                          A) Creating summary tables and charts to describe patterns in historical data.
                          B) Designing a data pipeline to ingest and process real-time sensor data.
                          C) Recommending pricing strategies using predictive modeling and A/B testing.
                          D) Developing machine learning algorithms to predict user behavior.


                          Solutions:

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

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