Microsoft Microsoft Certifications AI-900 Questions & Answers

• Question 131:

  You have a website that includes customer reviews.

  You need to store the reviews in English and present the reviews to users in their respective language by recognizing each user's geographical location.

  Which type of natural language processing workload should you use?

  A. key phrase extraction

  B. speech recognition

  C. language modeling

  D. translation

  Correct Answer: A

• Question 132:

  Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

  A. Custom Vision

  B. Face

  C. Form Recognizer

  D. Language

  Correct Answer: C

  Form Recognizer applies advanced machine learning to accurately extract text, key-value pairs, tables, and structures from documents. Reference: https://azure.microsoft.com/en-us/services/form-recognizer/

• Question 133:

  You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user:

  1.

  Accept customer orders.

  2.

  Retrieve support documents.

  3.

  Retrieve order status updates. Which type of NLP should you use?

  A. sentiment analysis

  B. translation

  C. language modeling

  D. named entity recognition

  Correct Answer: D

  What is custom named entity recognition (NER)?

  Custom NER is one of the custom features offered by Azure Cognitive Service for Language. It is a cloud-based API service that applies machine-learning intelligence to enable you to build custom models for custom named entity recognition

  tasks.

  Custom NER enables users to build custom AI models to extract domain-specific entities from unstructured text, such as contracts or financial documents.

  Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/custom-named-entity-recognition/overview

• Question 134:

  You need to implement a pre-built solution that will identify well-known brands in digital photographs. Which Azure Cognitive Services service should you use?

  A. Custom Vision

  B. Form Recognizer

  C. Face

  D. Computer Vision

  Correct Answer: D

  Brand detection is a specialized mode of object detection that uses a database of thousands of global logos to identify commercial brands in images or video. You can use this feature, for example, to discover which brands are most popular on social media or most prevalent in media product placement.

  The Computer Vision service detects whether there are brand logos in a given image; if there are, it returns the brand name, a confidence score, and the coordinates of a bounding box around the logo.

  The built-in logo database covers popular brands in consumer electronics, clothing, and more. If you find that the brand you're looking for is not detected by the Computer Vision service, you could also try creating and training your own logo detector using the Custom Vision service.

  Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-brand-detection

• Question 135:

  You have an Al solution that provides users with the ability to control smart devices by using verbal commands.

  Which two types of natural language processing (NLP) workloads does the solution use? Each correct answer presents part of the solution.

  NOTE: Each correct selection is worth one point.

  A. text-to-speech

  B. translation

  C. language modeling

  D. key phrase extraction

  E. speech-to-text

  Correct Answer: CD

• Question 136:

  You need to create a customer support solution to help customers access information. The solution must support email, phone, and live chat channels. Which type of Al solution should you use?

  A. natural language processing (NLP)

  B. computer vision

  C. machine learning

  D. chatbot

  Correct Answer: D

  AI chatbots use natural language processing (NLP) to help users to interact with web services or apps through text, graphics, or speech. Chatbots can understand natural human language, emulate human conversation, and run simple, automated tasks. In addition, AI chatbots use predictive intelligence and analytics to learn a user's preferences and use this knowledge to provide recommendations and anticipate needs.

  AI chatbots are used in a variety of channels, such as messaging apps, mobile apps, websites, phone lines, and voice-enabled apps. They can be developed to handle just a few simple commands or to serve as complex digital assistants and interactive agents. An AI chatbot can be a part of a larger application or be completely stand-alone.

  Reference: https://powervirtualagents.microsoft.com/en-us/ai-chatbot/

• Question 137:

  You have an Azure Machine Learning pipeline that contains a Split Data module. The Split Data module outputs to a Train Model module and a Score Model module. What is the function of the Split Data module?

  A. selecting columns that must be included in the model

  B. creating training and validation datasets

  C. diverting records that have missing data

  D. scaling numeric variables so that they are within a consistent numeric range

  Correct Answer: B

  https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/split-data?view=azureml-api-2 Use the Split Data component to divide a dataset into two distinct sets.

  This component is useful when you need to separate data into training and testing sets. You can also customize the way that data is divided. Some options support randomization of data. Others are tailored for a certain data type or model type.

• Question 138:

  You need to track multiple versions of a model that was trained by using Azure Machine Learning. What should you do?

  A. Provision an inference duster.

  B. Explain the model.

  C. Register the model.

  D. Register the training data.

  Correct Answer: C

  Register and track machine learning models

  With model registration, you can store and version your models in the Azure cloud, in your workspace. The model registry makes it easy to organize and keep track of your trained models.

  Reference: https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment

• Question 139:

  CORRECT TEXT

  To complete the sentence, select the appropriate option in the answer area.

  Computer vision capabilities can be Deployed to_____________________

  A. Integrate a facial recognition feature into an app.

  B. placeholder

  C. placeholder

  D. placeholder

  Correct Answer: A

  Integrate a facial recognition feature into an app.

  

• Question 140:

  You are building a tool that will process images from retail stores and identify the products of competitors.

  The solution will use a custom model.

  Which Azure Cognitive Services service should you use?

  A. Custom Vision

  B. Form Recognizer

  C. Face

  D. Computer Vision

  Correct Answer: A

  Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/overview