Python Data Science Interview Question MCQs - Part 2

 

1. Train_set = np.array([1, 2, 3]) and test_set = np.array([[0, 1, 2], [1, 2, 3]]) and final resulting_set --> [[1, 2, 3], [0, 1, 2], [1, 2, 3]] then how would you join the two arrays??

A) resulting_set = train_set.append(test_set)
B) resulting_set = np.concatenate([train_set, test_set])
C) resulting_set = np.vstack([train_set, test_set])
D) Can’t Say

ANSWER= C) Explain:- Both option A and B would do horizontal stacking, but we would like to have vertical stacking. So option C is correct.

 

2. Given two lists: a = [1,2,3,4,5] and b = [6,7,8,9] The task is to create a list which has all the elements of a and b in one dimension. Output: a = [1,2,3,4,5,6,7,8,9] Which of the following option would you choose?

A) a.append(b)
B) a.extend(b)
C) Any of the above
D) None of these

ANSWER= B) Explain:-

 

3. While reading a csv file with numpy, you want to automatically fill missing values of column “Date_Of_Joining” with date “01/01/2010”. Name Age Date_Of_Joining Total_Experience Andy 20 01/02/2013 0 Mandy 30 01/05/2014 10 Sandy 10 0 Bandy 40 01/10/2009 20 Which command will be appropriate to fill missing value while reading the file with numpy?

A) filling_values = (“-“, 0, 01/01/2010, 0) # note : df has 4 cols, temp = np.genfromtxt(filename, filling_values=filling_values)
B) filling_values = (“-“, 0, 01/01/2010, 0), temp = np.loadtxt(filename, filling_values=filling_values)
C) filling_values = (“-“, 0, 01/01/2010, 0), temp = np.gentxt(filename, filling_values=filling_values)
D) None of these

ANSWER= A) Explain:- A is correct

 

4. You have uploaded the dataset in csv format on google spreadsheet and shared it publicly. You want to access it in python, how can you do this? Note: Library StringIO has been imported as StringIO.

A) link = https://docs.google.com/spreadsheets/d/...source = StringIO.StringIO(requests.get(link).content)) then data = pd.read_csv(source)
B) link = https://docs.google.com/spreadsheets/d/...source = StringIO(request.get(link).content)) then data = pd.read_csv(source)
C) link = https://docs.google.com/spreadsheets/d/...source = StringIO(requests.get(link).content)) then data = pd.read_csv(source)
D) None of these

ANSWER= A) Explain:- A is correct

 

5. tuple given below: tup = (1, 2, 3, 4, 5 ) Now, you want to update the value of this tuple at 2nd index to 10. Which of the following option will you choose?

A) tup(2) = 10
B) tup[2] = 10
C) tup{2} = 10
D) None of these

ANSWER= D) Explain:- A tuple cannot be updated.

 

6. Read a website which has url as “www.abcd.org”. Which of the following options will perform this task?

A) urllib2.urlopen(www.abcd.org)
B) requests.get(www.abcd.org)
C) Both A and B
D) None of these

ANSWER= C) Explain:-

 

7.Which of the following is a correct implementation of mean squared error (MSE) metric?

A) def MSE(real_target, predicted_target): return np.mean((np.square(real_target) – np.square(predicted_target)))
B) def MSE(real_target, predicted_target): return np.mean((real_target – predicted_target)**2)
C) def MSE(real_target, predicted_target): return np.sqrt(np.mean((np.square(real_target) – np.square(predicted_target))))
D) None of these

ANSWER= B) Explain:-

 

8.Which of the following is the correct extension of the Python file ?

A) .python
B) .py
C) .pl
D) .p

ANSWER= B) Explain:-

 

9. Is Python code compiled or interpreted?

A) Python code is both compiled and interpreted
B) Python code is neither compiled nor interpreted
C) Python code is only compiled
D) Python code is only interpreted

ANSWER= B) Many languages have been implemented using both compilers and interpreters, including C, Pascal, and Python. Explain:-

 

10. what will be value of the python expression 6 + 3 % 5?

A) 8
B) 6
C) 9
D) Error

ANSWER= c) Order of expression will be % then +. Explain:-
 

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