PCED-30-02 PDF Testsoftware & PCED-30-02 Prüfungsfragen

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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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Python Institute PCED - Certified Entry-Level Data Analyst with Python PCED-30-02 Prüfungsfragen mit Lösungen (Q12-Q17):

12. Frage
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

A. School and homework together take up half of the day's time.
B. Commuting is the second most time-consuming activity.
C. Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
D. Sleep and school take up the majority of time in a day.
E. More time is spent commuting than on leisure.
F. Leisure and meals combined equal the time spent at school.

Antwort: C,D

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

Antwort: B

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

14. Frage
You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?

A. fields = line.strip().split(', ')
B. fields = line.split().strip(', ')
C. fields = line.split(', ').trim()
D. fields = line.replace(', ', '|').split('|')

Antwort: A

15. Frage
You are creating a presentation slide to communicate findings about student stress levels across four categories over a six-month period. You include the following line graph in your presentation:

Your goal is to help your audience clearly understand trends in stress levels over time.
What is the highest problem with this visual presentation? Select the best answer.

A. The months should be replaced with week numbers to provide more detailed insight.
B. The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.
C. The chart should be in 3D format to show depth and highlight differences more clearly.
D. The font used in the chart is hard to read; using larger, uppercase text would improve clarity.
E. The lines are too light and similar in color, making it difficult to distinguish between trends.

Antwort: E

Begründung:
The lines are very light and visually similar, making it difficult to clearly distinguish between the different stress level trends, which directly reduces the effectiveness of the visualization in communicating patterns over time.

16. Frage
You are analyzing survey results from students about their favorite colors. The list colorsstores individual responses:

You want to:
- find the number of unique colors mentioned using NumPy, and
- determine how often each color was chosen using Counter.
Which code snippet correctly performs both tasks? Select the best answer.
from numpy import unique

A. from collections import Counter
unique_colors = Counter(colors)
color_counts = sum(np.unique(colors))
import numpy as np
B. from collections import Counter
unique_colors = len(unique(colors))
color_counts = Counter(colors)
import numpy as np
C. from collections import Counter
unique_colors = len(set(colors))
color_counts = np.unique(colors)
D. from collections import Counter
unique_colors = np.unique(colors)
color_counts = Counter(set(colors))
import numpy as np

Antwort: B

Begründung:
numpy.unique returns the distinct values in the list, and taking its length gives the number of unique colors. Counter(colors) correctly counts how many times each color appears in the responses.

17. Frage
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