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Python Institute PCED-30-02 Exam Syllabus Topics:

Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:

1. You are working with city names entered by users. These names may contain inconsistent capitalization and unwanted spaces.
To standardize the data, you want to:
- Remove any leading or trailing whitespace, and
- Capitalize the first letter of each word (e.g., convert "new york" to "New York").
For example:
" New york " → "New York"
"lOS ANGELES" → "Los Angeles"
You are given a variable citythat contains the raw input.
Which line of code correctly updates the value of cleaned_cityto apply the required transformation? Select the best answer.

A) cleaned_city = city.strip().capitalize()
B) cleaned_city = city.strip().title()
C) cleaned_city = city.upper().replace(" ", "")
D) cleaned_city = city.upper().strip()

2. 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?

A) 8
B) Error
C) "555"
D) 15

3. A program compares two values using == and is. The variables a = 256 and b = 256 are defined.
What is the expected result of a is b in most Python implementations?

A) Error
B) True
C) False
D) None

4. A program uses slicing on a string "Python". The expression s[1:4] is evaluated. Which substring will be returned?

A) yth
B) ythn
C) tho
D) ytho

5. 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) JSON, because it stores hierarchical data and is designed for visual presentation in Excel.
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) SQL, because it directly converts tabular data into database tables that Excel can open.

Solutions: