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1. 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) JSON, because it stores hierarchical data and is designed for visual presentation in Excel.
C) CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.
D) XML, because it automatically preserves spreadsheet formatting and charts.
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) Error
B) 15
C) 8
D) "555"
3. A Python developer is testing truth values of different data types using the bool() function. The expression bool([0]) is evaluated in the script. What result should be expected when this expression is printed?
A) False
B) Error
C) None
D) True
4. 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.
A)
B)
C)
D) 
5. 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.upper().replace(" ", "")
B) cleaned_city = city.strip().capitalize()
C) cleaned_city = city.upper().strip()
D) cleaned_city = city.strip().title()
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: D |
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