Boost Your Confidence with Python Institute PCED-30-02 PCED - Certified Entry-Level Data Analyst with Python Test

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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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                          Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q47-Q52):

                          NEW QUESTION # 47
                          Below are six possible summaries for your presentation:
                          - Summary 1: "The data revealed a moderate positive correlation between age and recycling frequency. While 72% of students reported recycling paper regularly, only 39% reported recycling plastic."
                          - Summary 2: "Analysis showed notable differences in recycling habits by material type, with paper being most recycled and plastic least recycled."
                          - Summary 3: "Older kids recycled more than younger ones. Paper was the most recycled item- plastic got forgotten a lot."
                          - Summary 4: "Student responses showed positive environmental habits overall, though participation varied by waste type."
                          - Summary 5: "A lot of students said they recycle. Some didn't answer every question, so we couldn't figure out everything."
                          - Summary 6: "We asked more than 300 students about recycling. Most said they recycle paper, but way fewer recycle plastic." Which communication style is the best fit for Group A (data scientists) and Group B (12-year- olds), respectively? Select the best answer.

                          Answer: A

                          Explanation:
                          The first summary uses precise statistical language and quantitative detail appropriate for data scientists. The third summary uses simpler, more conversational language that is easier for 12- year-olds to understand.


                          NEW QUESTION # 48
                          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.

                          Answer: A

                          Explanation:
                          A bar chart is best for comparing quantities across distinct categories, such as the number of students in each club, because it clearly shows differences in counts side by side.


                          NEW QUESTION # 49
                          Which task is traditionally or typically performed by a data analyst, and not by a data scientist or analytics specialist? Select the best answer.

                          Answer: C

                          Explanation:
                          Creating summary tables and charts to describe patterns in historical data is a core responsibility of a data analyst, focusing on descriptive analytics and reporting rather than building predictive models, machine learning systems, or engineering data pipelines.


                          NEW QUESTION # 50
                          You are given two lists representing daily page views and sign-ups on a website:
                          views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
                          signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
                          You want to:
                          - remove outliers (views > 600), and
                          - calculate correlation between the cleaned lists.
                          Which code accomplishes this correctly? Select the best answer.

                          Answer: B

                          Explanation:
                          It converts the lists to NumPy arrays, builds a boolean mask based on the views threshold to remove outliers, applies the same mask to both arrays so they stay aligned, and then computes the correlation on the cleaned pairs using np.corrcoef.


                          NEW QUESTION # 51
                          A Python developer is testing truth values of different data types using the bool() function. The expression bool([0]) is evaluated in the script. What result should be expected when this expression is printed?

                          Answer: B

                          Explanation:
                          In Python, any non-empty list evaluates to True in a Boolean context. Even though the element inside the list is zero, the list itself is not empty, so the result is True.


                          NEW QUESTION # 52
                          ......

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