Top 20 Artificial Intelligence Questions & Answers
Top 20 Artificial Intelligence Questions & Answers

Top 20 Artificial Intelligence Questions & Answers

Artificial Intelligence (AI) has emerged as a transformative technology that is revolutionizing various industries, from healthcare and finance to transportation and entertainment. As AI continues to advance, it raises numerous questions about its capabilities, implications, and ethical considerations. In this compilation of the top 20 AI questions and answers, we delve into key topics surrounding artificial intelligence. From its definition and applications to its impact on society, job market, and the ethical dilemmas it presents, these questions provide valuable insights into the world of AI. Whether you’re a curious individual seeking a better understanding of AI or a professional navigating the AI landscape, these questions and answers offer a comprehensive overview of this dynamic field.

Now, let’s move on to the top 20 Artificial Intelligence Questions & Answers

Q1. In the opening vignette, the results did not include:

Select one:
a. elimination of fraud completely at 15% of branches.
b. reduction in false positives by 60%.
c. increase in true positives by 50%.
d. resources focused on actual cases of fraud.

Q2. Sensitivity analysis is a method for extracting the what among the inputs and the outputs of a trained neural network model?

Select one:
a. underlying constraints
b. cause-and-effect relationships
c. bias
d. detailed quantitative predictive models

Q3. Which of the following does not describe a deep feedforward network?

Select one:
a.most general type of deep network
b. many layers of neurons elements are significantly different than ANN models
d. tensors are handled as input

Q4. Why is pretraining a deep MLP network appropriat

Select one:
a. increases the chances of a global optimum being reached
b. is necessary always necessary for this type of network
c. increases duration before global optimum is reached
d. none of these

Q5. Real applications of deep learning in general and CNN’s in particular highly depend on the availability of:

Select one:
a. large, unsorted data sets.
b. small, unsorted data sets.
c. large, annotated data sets.
d. small, annotated data sets.

Q6. LSTM networks are typically not used for what type of data?

Select one:
a. handwriting recognition
b. speech recognition
c. image recognition
d. machine translation

Q7. Which deep learning framework is particularly known to be an efficient framework for image processing due to incredible speed in processing image files?

Select one:
a. Torch
b. Caffe
c. TensorFlow
d. Theano

Q8. Which type of learning system is represented by the following process: input – manually created representation – output?

Select one:
a. knowledge-based systems
b. classic machine learning
c. generic representation learning
d. deep learning

Q9. Which type of a and a transfer function is described: operation increases in a line based on condition using an operation such as

Select one:
a. hard limit
b. linear
c. log sigmoid
d. positive linear

Q10. In developing an artificial neural network, all of the following are important reasons to pre-select the network architecture and learning method EXCEPT:

Select one:
a.some configurations have better success than others with specific problems.
b. development personnel may be more experienced with certain architectures.
c. most neural networks need special purpose hardware, which may be absent.
d. some neural network software may not be available in the organization.

Q11.Generally, a_________order of layers has to be held between the input and the output layers in the MLP-type network architecture


Q12. A convolution layer is followed by a pooling layer, also know them as a ________ layer.


Q13. ________ uses deep learning artificial neural network algorithms (along with other Al techniques) to deliver information about the images captured by users from their nearby objects.

Computer visio

Q14. __________ refers to a subfield of Al that employs computer programs to translate speech or text from one language to another

Machine Transl

Q15. To program GPUs, the_____ language is utilized.


Q16. Feedforward models only allow a single feedback connection.

Select one:
a. True
b. False

Q17. CNNs are only applicable to image data sets.

Select one:
a. True
b. False

Q18. Convolution layers are often followed by a pooling layer.

Select one:
a. True
b. False

Q19. RNN basically models a dynamic system.

Select one:
a. True
b. False

Q20. In Caffe, everything is done using text files instead of code.

Select one:
a. True
b. False


  1. a
  2. b
  3. c
  4. a
  5. c
  6. c
  7. b
  8. a
  9. b
  10. c
  11. sequential
  12. subsampling
  13. Computer visio
  14. Machine Transl
  15. CUDA
  16. b
  17. b
  18. a
  19. a
  20. a