Artificial Intelligence Questions

What are two main components of a conversational artificial intelligence (AI) solution? Each correct answer presents part of the solution.

Which additional piece of information is included with each phrase returned by an image description task of the computer vision service?

What is the confidence score returned by the Azure AI Language detection service of natural language processing (NLP) for an unknown language name?

What are the two main schema components of a Language Understanding app model? Each correct answer presents part of the solution.

You need to use the Azure Machine Learning designer to deploy a predictive service from a newly trained model.What should you do first in the Machine Learning designer?

Deep learning systems require structured data.

Which feature of computer vision involves associating an image with metadata that summarizes the attributes of the image?

What is used to test a Language Understanding app model?

Which three data transformation modules are in the Azure Machine Learning designer? Each correct answer presents a complete solution.

You need to identify numerical values that represent the probability of humans developing diabetes based on age and body fat percentage.Which type of machine learning model should you use?

Which computer vision solution provides the ability to identify a person's age based on a photograph?

E.1 AlexNet is a very well-known (even famous!) neural network. What does the AlexNet acronym stand for?

Which process allows you to use optical character recognition (OCR)?

When using the Azure AI Service for Language, what should you use to provide further information online about entities extracted from a text?

Which three parts of the machine learning process does the Azure AI Vision eliminate the need for? Each correct answer presents part of the solution.

Based on the Turing test, commercial AI products are far from exhibiting any significant intelligence.

C.1 You're developing a new standardized dataset for Machine Learning, and you plan to release thedataset into the public domain, for others to use. Your dataset contains 1.2 Million labelled image, and you are at the stage where you need to subdivide the dataset into a train, validation, and test partition.What would be the best way to split the data? (select one)a) 1M train, 100k validation, and 100k test imagesb) 1.1M train, 50k validation, and 50k test imagesc) 1.15M train, 25k validation, and 25k test imagesd) 1.16M train, 20k validation, and 20k test imagese) 1.17M train, 15k validation, and 15k test images

Which machine learning algorithm module in the Azure Machine Learning designer is used to train a model?

For which two scenarios is the Universal Language Model used by the speech-to-text API optimized? Each correct answer presents a complete solution.

F.1 You train a Neural Network for 100 epochs, with a set of hyperparameters. You then train itagain, also for 100 epochs, with the exact same set of hyperparameters. Despite using the samehyperparameters, the loss converges to different values for each run. What would explain this difference?(select all)a) Different random weights at initialization.b) A different batch size.c) Shuffling the training dataset at each epoch.d) Shuffling the validation dataset at each epoch.e) None of the above.