PCED-30-02 Valid Test Syllabus & PCED-30-02 Test Engine

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| Section | Objectives |
|---|
| Topic 1: Data Analysis and Visualization | - Data visualization
- 1. Matplotlib basics
- 2. Plot interpretation
- Data cleaning and preprocessing
- 1. Data transformation techniques
- 2. Missing values handling
|
| Topic 2: Basic Statistics for Data Analysis | - Descriptive statistics
- 1. Variance and standard deviation
- 2. Mean, median, mode
|
| Topic 3: Data Handling and Processing with Python | - Data manipulation libraries
- 1. NumPy basics
- 2. Pandas fundamentals
- Working with data structures
- 1. Lists, tuples, dictionaries
- 2. Iterating and transformations
|
| Topic 4: Python Programming Fundamentals | - Basic syntax and data types
- 1. Control flow basics
- 2. Variables and operators
|
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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q38-Q43):
NEW QUESTION # 38
A program uses slicing on a string "Python". The expression s[1:4] is evaluated. Which substring will be returned?
- A. ythn
- B. tho
- C. ytho
- D. yth
Answer: D
Explanation:
Slicing includes the start index but excludes the end index. Characters at indices 1, 2, and 3 are selected, producing the substring "yth".
NEW QUESTION # 39
A variable is assigned using chained assignment: a = b = c = 10. The developer then changes b =
5. What will be the value of a after this operation?
Answer: D
Explanation:
Integers are immutable in Python. Reassigning b to a new value does not affect a or c, which still reference the original integer value 10.
NEW QUESTION # 40
A health researcher uses wearable devices to record physical activity and sends a survey to randomly selected participants across age groups.
Why can this approach be effective? Select the best answer.
- A. It relies on observational methods, which are more accurate than surveys or sensors.
- B. It uses unstructured interviews to validate automated tracking, improving bias detection.
- C. It combines automated data collection with representative sampling, reducing the risk of bias.
- D. It limits sampling to one demographic, ensuring high-quality data within a specific group.
Answer: C
Explanation:
Combining automated wearable data with a randomly selected survey sample integrates objective measurements with representative participant input, which helps reduce bias and improves the reliability and generalizability of the findings.
NEW QUESTION # 41
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. XML, because it automatically preserves spreadsheet formatting and charts.
- B. SQL, because it directly converts tabular data into database tables that Excel can open.
- 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 # 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 int
- C. input returns float
- D. Syntax error
Answer: A
Explanation:
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.
NEW QUESTION # 43
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