PCED-30-02認證指南 - PCED-30-02題庫分享

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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Python Basics for Data Analysis | 32.5% | - Control flow and functions
- 1. Conditional statements, loops, iteration
- 2. Defining and calling functions, parameters, return values
- 3. Basic exception handling
- Core Python syntax and data types
- 1. Variables, numbers, strings, booleans
- 2. Lists, tuples, sets, dictionaries
- Introduction to NumPy
- 1. Arrays, basic operations, indexing, slicing
- Built-in modules for data work
- 1. math, statistics, datetime, collections, csv
|
| Topic 2: Data Visualization and Communication | 20% | - Principles of effective data visualization
- 1. Clarity, simplicity, and accuracy
- 2. Choosing appropriate chart types
- Creating basic visualizations
- 1. Line charts, bar charts, histograms, pie charts
- 2. Using text and simple plotting tools
- Interpreting and presenting results
- 1. Deriving conclusions and insights
- 2. Reporting findings clearly and concisely
|
| Topic 3: Working with Data and Performing Simple Analysis | 25% | - Data acquisition and loading
- 1. Importing data from external sources
- 2. Reading text, CSV, and structured files
- Data aggregation and grouping
- 1. Summarizing and grouping datasets
- Exploratory data analysis
- 1. Identifying patterns, trends, and outliers
- 2. Calculating mean, median, mode, range, variance, standard deviation
- Data cleaning and preparation
- 1. Formatting and standardizing values
- 2. Filtering, sorting, transforming data
- 3. Handling missing values, duplicates, and errors
|
| Topic 4: Introduction to Data and Data Analysis Concepts | 22.5% | - Data types and measurement scales
- 1. Nominal, ordinal, interval, ratio scales
- 2. Qualitative vs quantitative data
- Basic statistical concepts
- 1. Population, sample, variable, observation
- 2. Descriptive vs inferential statistics
- Data lifecycle and ethical considerations
- 1. Privacy, security, bias, and fairness in data
- 2. Data collection, storage, processing, usage, and sharing
- Definition and classification of data
- 1. Difference between data, information, and knowledge
- 2. Process of turning raw data into insights
- 3. Role of data in decision-making and business
|
>> PCED-30-02認證指南 <<
PCED-30-02題庫分享 & PCED-30-02認證考試解析
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最新的 Python Institute PCED PCED-30-02 免費考試真題 (Q38-Q43):
問題 #38
A program uses while False: followed by print statements inside the loop. The developer expects output. What will actually happen during execution?
- A. Infinite loop
- B. Prints once
- C. No execution
- D. Error
答案:C
解題說明:
The condition False is evaluated before entering the loop. Since it is always false, the loop body is never executed, and no output is produced.
問題 #39
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
- A. import math
print(statistics.variance(steps))
print(math.ceil(sum(steps) / len(steps)))
print(math.floor(statistics.median(steps)))
import statistics - B. import math
print(statistics.stdev(steps))
print(round(math.mean(steps)))
print(math.median(steps))
import statistics - C. import math
print(math.stdev(steps))
print(statistics.mean(steps))
print(statistics.median(steps))
import statistics - D. import math
print(statistics.stdev(steps))
print(math.ceil(statistics.mean(steps)))
print(statistics.median(steps))
答案:D
解題說明:
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.
問題 #40
Given the following string:
text = "Report2024Final"
Which of the following statements are entirely correct? (Choose two.)
- A. text.isalpha()returns True, and text.find ("2024")returns True
- B. text[-6].isdigit() returns True, text.startswith("r") returns True
- C. text.capitalize()changes Finalto lowercase, and text.find ("L")returns True
- D. text[0:6].isalpha() returns True, and text.find("2024") returns 6
- E. text.capitalize()changes Report2024Finalto REPORT2024FINAL, and text.find("2024")returns 6
- F. text[6:8].isdigit()returns True, and text.endswith("Final")returns True
答案:C,D,F
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 #41
Consider a Python program that assigns a string value "5" to a variable and then attempts to multiply it by an integer 3. The programmer expects numeric multiplication. What will actually happen when the code is executed?
答案:D
解題說明:
In Python, multiplying a string by an integer repeats the string. Therefore, "5" * 3 produces "555", not a numeric result. This behavior differs from arithmetic multiplication and often confuses beginners.
問題 #42
A student writes a program using input() to collect user data, then tries to add 5 to the input value without conversion. The program crashes. What is the most likely cause of this behavior?
- A. input returns string
- B. input returns float
- C. input returns int
- D. Syntax error
答案:A
解題說明:
The input() function always returns a string. Attempting to add an integer to a string causes a TypeError. The input must be explicitly converted using int() or float() before performing arithmetic operations.
問題 #43
......
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