PCED-30-02題庫下載 & PCED-30-02考試內容

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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Introduction to Data and Data Analysis Concepts	22.5%	- Data Ethics and Privacy 1. Understand basic data privacy concepts 2. Recognize ethical considerations in data handling - Define and Classify Data 1. Explain how data becomes meaningful 2. Classify data as quantitative or qualitative 3. Differentiate structured, semi-structured, and unstructured data - Data Analysis Process and Workflow 1. Explain the role of data cleaning and preparation 2. Identify common data sources and collection methods 3. Describe the steps of the data analysis process
Python Basics for Data Analysis	32.5%	- File Handling 1. Use the csv module for basic CSV operations 2. Read from and write to files (text, CSV) - Data Structures 1. Apply common operations and methods to data structures 2. Work with lists, tuples, dictionaries, and sets - Python Fundamentals 1. Implement control flow structures (loops, conditionals) 2. Use variables, data types, and basic operators 3. Define and use functions
Communicating Insights and Reporting	12.5%	- Data Storytelling and Reporting 1. Present insights with visual and verbal techniques 2. Create clear and concise analytical reports 3. Structure insights as a narrative - Data Visualization 1. Recognize common visualization types (bar, line, pie charts) 2. Interpret simple data visualizations 3. Select appropriate visuals for different data types
Working with Data and Performing Simple Analyses	32.5%	- Data Cleaning and Transformation 1. Perform basic data transformation (filtering, sorting, grouping) 2. Handle missing and inconsistent data - Data Analysis with Python Libraries 1. Utilize the collections module for specialized containers 2. Perform basic operations with NumPy arrays 3. Work with the datetime module for date/time data 4. Use the math and statistics modules for basic calculations - Simple Analytical Techniques 1. Calculate descriptive statistics (mean, median, mode) 2. Identify basic patterns and trends in data

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最新的 Python Institute PCED PCED-30-02 免費考試真題 (Q49-Q54):

問題 #49
Given the following string:
text = "Report2024Final"
Which of the following statements are entirely correct? (Choose two.)

A. text[-6].isdigit() returns True, text.startswith("r") returns True
B. text[0:6].isalpha() returns True, and text.find("2024") returns 6
C. text.isalpha()returns True, and text.find ("2024")returns True
D. text.capitalize()changes Finalto lowercase, and text.find ("L")returns True
E. text[6:8].isdigit()returns True, and text.endswith("Final")returns True
F. text.capitalize()changes Report2024Finalto REPORT2024FINAL, and text.find("2024")returns 6

答案：B,D,E

解題說明：
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.

問題 #50
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?

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

答案：D

解題說明：
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.

問題 #51
You have a list of test scores, where each entry includes a student name and a score. Some students appear more than once. You want to compute the average score for each student and store the results in a dictionary. Here's the partial code block:

Which code correctly replaces the # MISSING CODE comment to calculate the average score for each student? Select the best answer.

答案：A

解題說明：
It iterates through each record, extracts the name and score, and uses dictionary .get() to accumulate total scores and counts per student safely, initializing missing keys to zero. This correctly enables calculation of each student's average afterward.

問題 #52
A list is reversed using slicing: lst[::-1]. The programmer wants to confirm whether this modifies the original list or creates a new one. What is the correct behavior?

A. Error
B. Returns None
C. Modifies original
D. Creates new list

答案：D

解題說明：
Slicing creates a new list object rather than modifying the original. The expression lst[::-1] returns a reversed copy, leaving the original list unchanged.

問題 #53
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.

答案：D

解題說明：
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.

問題 #54
......

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