Microsoft Microsoft Certifications AI-100 Questions & Answers

• Question 51:

  You are designing an AI solution that will provide feedback to teachers who train students over the Internet. The students will be in classrooms located in remote areas. The solution will capture video and audio data of the students in the classrooms.

  You need to recommend Azure Cognitive Services for the AI solution to meet the following requirements:

  1.

  Alert teachers if a student seems angry or distracted.

  2.

  Identify each student in the classrooms for attendance purposes.

  3.

  Allow the teachers to log the text of conversations between themselves and the students. Which Cognitive Services should you recommend?

  A. Computer Vision, Text Analytics, and Face API

  B. Video Indexer, Face API, and Text Analytics

  C. Computer Vision, Speech to Text, and Text Analytics

  D. Text Analytics, QnA Maker, and Computer Vision

  E. Video Indexer, Speech to Text, and Face API

  Correct Answer: E

  Azure Video Indexer is a cloud application built on Azure Media Analytics, Azure Search, Cognitive Services (such as the Face API, Microsoft Translator, the Computer Vision API, and Custom Speech Service). It enables you to extract the insights from your videos using Video Indexer video and audio models.

  Face API enables you to search, identify, and match faces in your private repository of up to 1 million people.

  The Face API now integrates emotion recognition, returning the confidence across a set of emotions for each face in the image such as anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise. These emotions are

  understood to be cross-culturally and universally communicated with particular facial expressions.

  Speech-to-text from Azure Speech Services, also known as speech-to-text, enables real-time transcription of audio streams into text that your applications, tools, or devices can consume, display, and take action on as command input. This

  service is powered by the same recognition technology that Microsoft uses for Cortana and Office products, and works seamlessly with the translation and text-to-speech.

  Incorrect Answers:

  Computer Vision or the QnA is not required.

  References:

  https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-overview

  https://azure.microsoft.com/en-us/services/cognitive-services/face/

  https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-to-text

• Question 52:

  You create an Azure Cognitive Services resource.

  You develop needs to be able to retrieve the keys used by the resource. The solution must use the principle of least privilege.

  What is the best role to assign to the developer? More than one answer choice may achieve the goal.

  A. Security Manager

  B. Security Reader

  C. Cognitive Services Contributor

  D. Cognitive Services User

  Correct Answer: D

  The Cognitive Services User lets you read and list keys of Cognitive Services.

  References: https://docs.microsoft.com/en-us/azure/role-based-access-control/built-in-roles

• Question 53:

  Your company plans to deploy an AI solution that processes IoT data in real-time.

  You need to recommend a solution for the planned deployment that meets the following requirements:

  1.

  Sustain up to 50 Mbps of events without throttling.

  2.

  Retain data for 60 days. What should you recommend?

  A. Apache Kafka

  B. Microsoft Azure IoT Hub

  C. Microsoft Azure Data Factory

  D. Microsoft Azure Machine Learning

  Correct Answer: A

  Apache Kafka is an open-source distributed streaming platform that can be used to build real-time streaming data pipelines and applications. References: https://docs.microsoft.com/en-us/azure/hdinsight/kafka/apache-kafka-introduction

• Question 54:

  You are designing a solution that will use the Azure Content Moderator service to moderate user-generated content.

  You need to moderate custom predefined content without repeatedly scanning the collected content.

  Which API should you use?

  A. Term List API

  B. Text Moderation API

  C. Image Moderation API

  D. Workflow API

  Correct Answer: A

  The default global list of terms in Azure Content Moderator is sufficient for most content moderation needs. However, you might need to screen for terms that are specific to your organization. For example, you might want to tag competitor

  names for further review.

  Use the List Management API to create custom lists of terms to use with the Text Moderation API. The Text - Screen operation scans your text for profanity, and also compares text against custom and shared blacklists.

  Incorrect Answers:

  B: Use the Text Moderation API in Azure Content Moderator to scan your text content. The operation scans your content for profanity, and compares the content against custom and shared blacklists.

  References: https://docs.microsoft.com/en-us/azure/cognitive-services/content-moderator/try-terms-list-api

• Question 55:

  You need to configure versioning and logging for Azure Machine Learning models. Which Machine Learning service application should you use?

  A. Models

  B. Activities

  C. Experiments

  D. Pipelines

  E. Deployments

  Correct Answer: E

  References: https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-logging#logging-for-deployed-models

• Question 56:

  You have Azure IoT Edge devices that collect measurements every 30 seconds.

  You plan to send the measurements to an Azure IoT hub.

  You need to ensure that every event is processed as quickly as possible.

  What should you use?

  A. Apache Kafka

  B. Azure Stream Analytics record functions

  C. Azure Stream Analytics windowing functions

  D. Azure Machine Learning on the IoT Edge devices

  Correct Answer: A

  https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-stream-analytics

• Question 57:

  Your company recently purchased several hundred hardware devices that contain sensors.

  You need to recommend a solution to process the sensor data. The solution must provide the ability to write back configuration changes to the devices.

  What should you include in the recommendation?

  A. Microsoft Azure IoT Hub

  B. API apps in Microsoft Azure App Service

  C. Microsoft Azure Event Hubs

  D. Microsoft Azure Notification Hubs

  Correct Answer: A

  References: https://azure.microsoft.com/en-us/resources/samples/functions-js-iot-hub-processing/

• Question 58:

  You have thousands of images that contain text.

  You need to process the text from the images to a machine-readable character stream. Which Azure Cognitive Services service should you use?

  A. the Image Moderation API

  B. Text Analytics

  C. Translator Text

  D. Computer Vision

  Correct Answer: D

  With Computer Vision you can detect text in an image using optical character recognition (OCR) and extract the recognized words into a machine-readable character stream. Incorrect Answers:

  A: Use Content Moderator's machine-assisted image moderation and human-in-the-loop Review tool to moderate images for adult and racy content. Scan images for text content and extract that text, and detect faces. You can match images

  against custom lists, and take further action.

  Reference:

  https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/

  https://docs.microsoft.com/en-us/azure/cognitive-services/content-moderator/image-moderation-api

• Question 59:

  You have Azure IoT Edge devices that collect measurements every 30 seconds.

  You plan to send the measurements to an Azure IoT hub.

  You need to process events in the cloud.

  What should you use?

  A. Apache Kafka

  B. Azure Stream Analytics record functions

  C. Azure Stream Analytics windowing functions

  D. Azure Machine Learning on the IoT Edge devices

  Correct Answer: D

  Use Azure Notebooks to develop a machine learning module and deploy it to a Linux device running Azure IoT Edge. You can use IoT Edge modules to deploy code that implements your business logic directly to your IoT Edge devices.

  References: https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-machine-learning

• Question 60:

  You have a database that contains sales data.

  You plan to process the sales data by using two data streams named Stream1 and Stream2. Stream1 will be used for purchase order data. Stream2 will be used for reference data.

  The reference data is stored in CSV files.

  You need to recommend an ingestion solution for each data stream.

  What two solutions should you recommend? Each correct answer is a complete solution.

  NOTE: Each correct selection is worth one point.

  A. an Azure event hub for Stream1 and Azure Blob storage for Stream2

  B. Azure Blob storage for Stream1 and Stream2

  C. an Azure event hub for Stream1 and Stream2

  D. Azure Blob storage for Stream1 and Azure Cosmos DB for Stream2

  E. Azure Cosmos DB for Stream1 and an Azure event hub for Stream2

  Correct Answer: AB

  Stream1 - Azure Event Stream2 - Blob Storage Azure Event Hubs is a highly scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs can process and store events, data, or telemetry produced by distributed software and devices. Data sent to an event hub can be transformed and stored using any real-time analytics provider or batching/storage adapters. Event Hubs provides publish-subscribe capabilities with low latency at massive scale, which makes it appropriate for big data scenarios.

  Stream1, Stream2 - Blob Storage Stream Analytics has first-class integration with Azure data streams as inputs from three kinds of resources: Azure Event Hubs Azure IoT Hub Azure Blob storage These input resources can live in the same Azure subscription as your Stream Analytics job or a different subscription.

  References: https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/real-time-ingestion