Infosys Certified Developer on Autonomous Vehicles Technology
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Join Premium10 Infosys Certified Developer on Autonomous Vehicles Technology practice questions with answers
Real Lex exam-pattern multiple-choice questions for the Infosys Certified Developer on Autonomous Vehicles Technology certification. Each question includes the correct answer. The full question bank is available to Premium members.
- Question 1
What is the output of the following Python code? str = "Another message" str.split( " " )
- ✓
[ 'Another' , 'message' ]
Correct - B
[ 'A n o t h e r m e s s a g e' ]
- C
[ 'Anothermessage' ]
- ✓
- Question 2
What does the following code do? import cv2 img = cv2.imread( 'image.jpg' ) cv2.imshow( 'Image', img[ 100:200, 350:450 ] ) cv2.waitKey(0)
- ✓
Scale image.jpg into a 100px by 100px shape and display
Correct - B
Move 100 rows starting at row 100 to row 350 of image.jpg and display
- C
Display a 100px-by-100px crop of image.jpg
- D
None of the above
- ✓
- Question 3
In C++, what is the size of long int in bytes
- ✓
1.0
Correct - B
2.0
- C
4.0
- D
8.0
- ✓
- Question 4
In function overloading, how is the appropriate function selected when it is called?
- ✓
Based on the return value of the function
Correct - B
Based on the type and number of input arguments
- C
Based on the type of the calling object
- D
Using namespace
- ✓
- Question 5
Identify the syntax error in the code: a = 12 b = 13 if( a == b ) print( "Equal" )
- ✓
Error in comparison operator
Correct - B
Use of double quotes in print
- C
No error
- D
None of the above
- ✓
- Question 6
Choose the most appropriate definition of gradient descent
- ✓
Iteratively reducing all weights when there is a prediction error and increasing the weights when predicted output matches the expectation
Correct - B
Minimizing the prediction error by iteratively calculating the gradient of the cost function and modifying the network parameters to descend along the gradient
- C
Iteratively reducing all bias inputs when there is a prediction error
- ✓
- Question 7
For a neuron, the activation function is applied -
- ✓
On the weighted sum of inputs with bias
Correct - B
on each weighted input to the neuron
- C
on each bias input to the neuron
- ✓
- Question 8
When training a neural network using supervised learning, ideally -
- ✓
The training is performed for each pair of training values one by one
Correct - B
The training is performed for batches of data from the training set
- C
The training is performed for the entire training set
- ✓
- Question 9
How can the value of an element in a Python dictionary 'D' be retrieved using its corresponding key 'k'?
- ✓
D["k"]
Correct - B
D.get_val('k')
- C
for key in D: if( key == 'k' ): return( key.value )
- D
D.k
- ✓
- Question 10
What are the numbers generated by the Python range function below? range( 2, 10, 2 )
- ✓
2, 4, 6, 8, 10
Correct - B
2, 4, 6, 8
- C
3, 5, 7, 9
- D
2.0
- ✓
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