Microsoft Certified: Azure AI Fundamentals - (AI-900) Exam Questions

Option Translation is correct - You should use a translation processing workload to store customer reviews in English and present the reviews to users in their respective languages based on their geographical location.

Translation NLP capabilities allow you to translate text from one language to another, enabling you to serve content to users in their preferred languages based on their locations.

Other options are not correct.

True, Answering frequently asked questions is an example of Conversational AI.

With Microsoft’s Conversational AI tools, developers can build, connect, deploy, and manage intelligent bots that naturally interact with their users on a website, app, Cortana, Microsoft Teams, Skype, Facebook Messenger, Slack, and more.

Correct answer is option

Artificial Intelligence - A technique that enables computers to mimic human intelligence.

Machine Learning - Techniques that enable machines to improve at tasks with experience.

Deep Learning - Techniques that use layers of algorithms in the form of artificial neural networks to return results for more complex use cases.

Detailed explanation:

• Deep learning is a subset of machine learning that's based on artificial neural networks. The learning process is deep because the structure of artificial neural networks consists of multiple input, output, and hidden layers. Each layer contains units that transform the input data into information that the next layer can use for a certain predictive task. Thanks to this structure, a machine can learn through its own data processing.

• Machine learning is a subset of artificial intelligence that uses techniques (such as deep learning) that enable machines to use experience to improve at tasks. The learning process is based on the following steps:

  1. Feed data into an algorithm. (In this step you can provide additional information to the model, for example, by performing feature extraction.)

  2. Use this data to train a model.

  3. Test and deploy the model.

  4. Consume the deployed model to do an automated predictive task. (In other words, call and use the deployed model to receive the predictions returned by the model.)

• Artificial intelligence (AI) is a technique that enables computers to mimic human intelligence. It includes machine learning.

Option QnA Maker is correct - QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information.

QnA Maker is commonly used to build conversational client applications, which include social media applications, chat bots, and speech-enabled desktop applications.

Other options are not correct.

True, Making a travel reservation is an example of Conversational AI.

With Microsoft’s Conversational AI tools, developers can build, connect, deploy, and manage intelligent bots that naturally interact with their users on a website, app, Cortana, Microsoft Teams, Skype, Facebook Messenger, Slack, and more.

Option Sentiment analysis is correct - The sentiment analysis feature provides sentiment labels (such as "negative", "neutral" and "positive") based on the highest confidence score found by the service at a sentence and document-level. This feature also returns confidence scores between 0 and 1 for each document & sentences within it for positive, neutral and negative sentiment.

Other options are not correct.