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Exam DP-100 topic 1 question 32 discussion

Actual exam question from Microsoft's DP-100
Question #: 32
Topic #: 1
[All DP-100 Questions]

This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.
You have been tasked with constructing a machine learning model that translates language text into a different language text.
The machine learning model must be constructed and trained to learn the sequence of the.
Recommendation: You make use of Convolutional Neural Networks (CNNs).
Will the requirements be satisfied?

  • A. Yes
  • B. No
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by Jultis at Aug. 17, 2021, 11:02 a.m.

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Jultis
Highly Voted 2 years, 8 months ago
Use Reccurent Neural Network (RNN) for translations.
upvoted 12 times
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james2033
Most Recent 7 months ago
Selected Answer: B
Convolution Neural Networks (CNN) for training images machine learning model. Recurrent Neural Networks (RNN) for training text (words sequence) in term of seq2seq, but now it is out of date, use Transformer as alternative solution. Anyway, CNN is incorrect for NLP.
upvoted 2 times
james2033
7 months ago
Transfer learning (Transformer architecture) for Machine translation https://learn.microsoft.com/en-us/azure/machine-learning/concept-deep-learning-vs-machine-learning?view=azureml-api-2#machine-translation .
upvoted 1 times
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EmmettBrown
1 year ago
Selected Answer: B
B is the answer
upvoted 1 times
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eloyinaay
1 year, 2 months ago
The answer is correct RNN are for NLP and
upvoted 1 times
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Arend78
1 year, 5 months ago
Selected Answer: B
https://www.techtarget.com/searchenterpriseai/feature/CNN-vs-RNN-How-they-differ-and-where-they-overlap "CNNs are preferred in interpreting visual data, sparse data or data that does not come in sequence," [...] "Recurrent neural networks, on the other hand, are designed to recognize sequential or temporal data. They do better predictions considering the order or sequence of the data as they relate to previous or the next data nodes."
upvoted 4 times
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ranjsi01
2 years, 3 months ago
cnn for image classification
upvoted 4 times
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