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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Objectives
Topic 1: Python Programming Fundamentals	- Basic syntax and data types 1. Control flow basics 2. Variables and operators
Topic 2: Data Handling and Processing with Python	- Data manipulation libraries 1. Pandas fundamentals 2. NumPy basics - Working with data structures 1. Iterating and transformations 2. Lists, tuples, dictionaries
Topic 3: Data Analysis and Visualization	- Data cleaning and preprocessing 1. Data transformation techniques 2. Missing values handling - Data visualization 1. Plot interpretation 2. Matplotlib basics
Topic 4: Basic Statistics for Data Analysis	- Descriptive statistics 1. Variance and standard deviation 2. Mean, median, mode

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q13-Q18):

NEW QUESTION # 13
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. CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.
C. XML, because it automatically preserves spreadsheet formatting and charts.
D. JSON, because it stores hierarchical data and is designed for visual presentation in Excel.

Answer: B

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 # 14
You are writing a function to validate battery voltage readings. The rules are:
- If the reading is "MISSING"or None, return "Missing".
- If the value is below 2.5or above 4.2, return "Outlier".
Otherwise, return "Normal".
Which version correctly implements this logic using the most robust conditional and nested structures? Select the best answer.

Answer: A

Explanation:
It first handles the non-numeric cases ("MISSING" and None) in a single condition, preventing invalid comparisons, and then cleanly checks the numeric outlier bounds using an or condition (<
2.5 or > 4.2) before defaulting to "Normal".

NEW QUESTION # 15
A list is defined as [1, 2, 3]. The programmer uses the method .append([4, 5]). What will the resulting list look like after execution?

A. [1,2,3,4,5]
B. [1,2,3,[4,5]]
C. [4,5,1,2,3]
D. Error

Answer: B

Explanation:
The append() method adds its argument as a single element. Therefore, the list [4, 5] is added as one nested list, resulting in [1, 2, 3, [4, 5]].

NEW QUESTION # 16
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.replace(', ', '|').split('|')
B. fields = line.split(', ').trim()
C. fields = line.strip().split(', ')
D. fields = line.split().strip(', ')

Answer: C

NEW QUESTION # 17
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 float
B. Syntax error
C. input returns int
D. input returns string

Answer: D

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 # 18
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