PCED-30-02최신시험예상문제모음덤프로시험패스하기

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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. Variance and standard deviation
        • 2. Mean, median, mode
          Topic 3: Data Analysis and Visualization- Data visualization
          • 1. Plot interpretation
            • 2. Matplotlib basics
              - Data cleaning and preprocessing
              • 1. Data transformation techniques
                • 2. Missing values handling
                  Topic 4: Data Handling and Processing with Python- Working with data structures
                  • 1. Lists, tuples, dictionaries
                    • 2. Iterating and transformations
                      - Data manipulation libraries
                      • 1. NumPy basics
                        • 2. Pandas fundamentals

                          >> PCED-30-02최신 시험 예상문제모음 <<

                          PCED-30-02인증덤프공부문제 & PCED-30-02최신 업데이트 덤프문제

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                          최신 Python Institute PCED PCED-30-02 무료샘플문제 (Q24-Q29):

                          질문 # 24
                          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.

                          정답:A

                          설명:
                          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.


                          질문 # 25
                          You are given the following list of daily step counts:
                          steps = [8230, 9020, 7640, 8760, 10020, 2546, 9817]
                          Your task is to calculate:
                          - the standard deviation of the step counts,
                          - the average rounded up to the nearest whole number, and
                          - the median of the step counts.
                          Which code snippet correctly performs all three tasks? Select the best answer.
                          import statistics

                          정답:D

                          설명:
                          It uses statistics.stdev() to compute the standard deviation, statistics.mean() to compute the average and math.ceil() to round it up to the nearest whole number, and statistics.median() to compute the median.


                          질문 # 26
                          The following chart shows how a student spends 24 hours in a day:

                          Which statements are most accurate? (Choose two.)

                          정답:D,F

                          설명:
                          The largest portions of the chart are sleep and school, and together they clearly make up more than half of the day. Leisure appears as a mid-sized segment that is larger than commuting but smaller than school, fitting the description of a moderate portion.


                          질문 # 27
                          A list is defined as [1, 2, 3]. The programmer uses the method .append([4, 5]). What will the resulting list look like after execution?

                          정답:B

                          설명:
                          The append() method adds its argument as a single element. Therefore, the list [4, 5] is added as one nested list, resulting in [1, 2, 3, [4, 5]].


                          질문 # 28
                          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.

                          정답:C

                          설명:
                          CSV stores tabular data in a simple plain-text, comma-separated format that is widely supported by spreadsheet applications like Excel, making it ideal for sharing datasets for easy import and analysis.


                          질문 # 29
                          ......

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