Python Institute PCED-30-02全真模擬試験 & PCED-30-02認定資格試験問題集

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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
          Python Programming Fundamentals- Basic syntax and data types
          • 1. Variables and operators
            • 2. Control flow basics
              Basic Statistics for Data Analysis- Descriptive statistics
              • 1. Variance and standard deviation
                • 2. Mean, median, mode
                  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-30-02全真模擬試験 <<

                          PCED-30-02認定資格試験問題集、PCED-30-02日本語版

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                          Python Institute PCED - Certified Entry-Level Data Analyst with Python 認定 PCED-30-02 試験問題 (Q42-Q47):

                          質問 # 42
                          Consider the following Python code:

                          What will be printed when the code above is executed?
                          40

                          正解:A

                          解説:
                          The last element of the original list is 50. The slice from index 1 up to (but not including) index 4 is
                          [20, 30, 40]. After removing 30 and appending 60, the list contains one occurrence of 10, and integer division by 10 produces [1, 2, 4, 5, 6].


                          質問 # 43
                          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.

                          正解:A

                          解説:
                          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.


                          質問 # 44
                          Given the following string:
                          text = "Report2024Final"
                          Which of the following statements are entirely correct? (Choose two.)

                          正解:A、C、D

                          解説:
                          The slice text[6:8] is "20", which contains only digits, and the string ends with "Final". The first six characters are "Report", which are all alphabetic, and "2024" begins at index 6.


                          質問 # 45
                          You have collected sales data and want to compute the average using the NumPy library.
                          Which option correctly shows how to install NumPy and use it in your code to perform this task?

                          正解:C

                          解説:
                          NumPy is installed with pip install numpy, then imported with import numpy as np. After that, you can create an array and compute the mean using np.array(...) and np.mean(...).


                          質問 # 46
                          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.)

                          正解:A、B

                          解説:
                          Encrypting stored and transmitted data protects sensitive information from unauthorized access and supports regulatory requirements for data security. Providing clear explanations of data usage and obtaining explicit consent ensures transparency and aligns with core principles of data protection regulations such as lawful processing and user rights.


                          質問 # 47
                          ......

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