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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Objectives
Python Programming Fundamentals	- Basic syntax and data types 1. Control flow basics 2. Variables and operators
Basic Statistics for Data Analysis	- Descriptive statistics 1. Variance and standard deviation 2. Mean, median, mode
Data Analysis and Visualization	- Data visualization 1. Plot interpretation 2. Matplotlib basics - Data cleaning and preprocessing 1. Missing values handling 2. Data transformation techniques
Data Handling and Processing with Python	- Working with data structures 1. Iterating and transformations 2. Lists, tuples, dictionaries - Data manipulation libraries 1. Pandas fundamentals 2. NumPy basics

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q21-Q26):

NEW QUESTION # 21
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 lines are too light and similar in color, making it difficult to distinguish between trends.
B. The months should be replaced with week numbers to provide more detailed insight.
C. The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.
D. The chart should be in 3D format to show depth and highlight differences more clearly.
E. The font used in the chart is hard to read; using larger, uppercase text would improve clarity.

Answer: A

Explanation:
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.

NEW QUESTION # 22
Consider the following Python code:

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

A. [10, 20, 30, 40]
1
[1, 2, 4, 5, 6]
50
B. [20, 30, 40]
1
[1, 2, 4, 5, 6]
50
C. [20, 30, 40]
1
[1, 2, 4, 5, 6]
D. [10, 20, 30, 40]
0
[1, 2, 3, 4, 5, 6]
50

Answer: C

Explanation:
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].

NEW QUESTION # 23
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.

A. SQL, because it directly converts tabular data into database tables that Excel can open.
B. XML, because it automatically preserves spreadsheet formatting and charts.
C. CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.
D. JSON, because it stores hierarchical data and is designed for visual presentation in Excel.

Answer: C

Explanation:
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.

NEW QUESTION # 24
An online retailer collects customer reviews, order transaction logs, and product ratings.
Which of the following correctly classifies these types of data? Select the best answer.

A. Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.
B. Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
C. Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.
D. Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative

Answer: D

Explanation:
Product ratings are numeric values stored in fixed fields, making them quantitative and structured.
Customer reviews are free-text responses, which are qualitative and unstructured. Transaction logs consist of organized records with defined fields such as order ID, date, and amount, making them structured and quantitative.

NEW QUESTION # 25
A Python loop uses range(5, 0, -2) to iterate backward. The programmer expects a decreasing sequence. Which values will actually be generated when this loop runs?

A. 5, 4, 3, 2, 1
B. 4, 2, 0
C. 5, 3, 1
D. 5, 3

Answer: C

Explanation:
The range starts at 5 and decreases by 2 each step until it reaches a value greater than 0. The generated sequence is 5, 3, and 1.

NEW QUESTION # 26
......

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