- AOnly when there is no exception
- BNever
- Calways
- DOnly when there is an exception
Create Objects in Python - Quiz
- Aimport sys; sys.builtins.__dict__.keys()
- Bimport builtins; builtins.__dict__.keys()
- Cimport sys; sys.builtins_names
- Dimport builtins; builtins.builtins_names
- A__main__.py
- Binit.py
- Cmain.py
- D__init__.py
- Amethod
- Bclass
- Csub
- Ddef
- AUndefinedError
- BVariableError
- CNameError
- DNonObjectError
- ANo, Multiple exceptions cannot be handled in a single block
- BYes, likeexcept [ NameError, SyntaxError, ...]
- CYes, likeexcept NameError, SyntaxError, …
- DYes, likeexcept ( NameError, SyntaxError, ...)
- Afrom m1 import f1, f2
- Bfrom m1 import *
- Cimport m1
- Dimport f1, f2 from m1
- ATypeError
- BValueError
- CArithemticError
- DNameError
- Aos.path.isFile("C:\Sample.txt")
- Bos.isFile("C:\Sample.txt")
- Cos.path.isfile("C:\Sample.txt")
- Dos.path.exists("C:\Sample.txt")
- AFalse
- BTrue
Results:
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🟢 Correct Answers: 🔴 Wrong Answers:
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Create Objects in Python - Quiz
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Correct Answer:
Wrong Answer:
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- A. Only when there is no exception
- B. Never
- C. always
- D. Only when there is an exception
Remarks:
Explanation: always
- A. import sys; sys.builtins.__dict__.keys()
- B. import builtins; builtins.__dict__.keys()
- C. import sys; sys.builtins_names
- D. import builtins; builtins.builtins_names
Remarks:
Explanation:
The correct statement to retrieve names of all built-in objects is:
import builtins; builtins.__dict__.keys()
- A. __main__.py
- B. init.py
- C. main.py
- D. __init__.py
Remarks:
Explanation:
The correct answer is: __init__.py
- A. method
- B. class
- C. sub
- D. def
Remarks:
Explanation:
The correct keyword used for creating a method inside a class is:
def
So, the correct answer is: def
- A. UndefinedError
- B. VariableError
- C. NameError
- D. NonObjectError
Remarks:
Explanation:
The exception that occurs when an undefined object is accessed in Python is:
NameError
So, the correct answer is: NameError
- A. No, Multiple exceptions cannot be handled in a single block
- B. Yes, likeexcept [ NameError, SyntaxError, ...]
- C. Yes, likeexcept NameError, SyntaxError, …
- D. Yes, likeexcept ( NameError, SyntaxError, ...)
Remarks:
Explanation:
Yes, like
except ( NameError, SyntaxError, ...)
- A. from m1 import f1, f2
- B. from m1 import *
- C. import m1
- D. import f1, f2 from m1
Remarks:
Explanation:
The statement that is not a valid way to import the module 'm1' or the functions 'f1' and 'f2' defined in it is:
import f1, f2 from m1
The correct syntax for importing specific functions from a module is:
from m1 import f1, f2
So, the correct answer is: import f1, f2 from m1
- A. TypeError
- B. ValueError
- C. ArithemticError
- D. NameError
Remarks:
Explanation:
Correct answer is: TypeError
- A. os.path.isFile("C:\Sample.txt")
- B. os.isFile("C:\Sample.txt")
- C. os.path.isfile("C:\Sample.txt")
- D. os.path.exists("C:\Sample.txt")
Remarks:
Explanation:
The correct expression to check if the file 'C:\Sample.txt' exists and is also a regular file is:
os.path.isfile("C:\Sample.txt")
So, the correct answer is: os.path.isfile("C:\Sample.txt")
- A. False
- B. True
Remarks:
Explanation:
True. Any Python script can act like a module. In Python, a module is simply a file containing Python definitions and statements. These modules can be reused in other Python scripts by importing them using the import statement. A Python script becomes a module when it contains reusable code that can be imported into other scripts.