AI-100試験無料問題集「Microsoft Designing and Implementing an Azure AI Solution 認定」

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?

解説: (GoShiken メンバーにのみ表示されます)
Your company plans to implement an Al solution that will analyse data from loT devices.
Data from the devices will be analysed in real time. The results of the analysis will be stored in a SQL database.
You need to recommend a data processing solution that uses the Transact-SQL language.
Which data processing solution should you recommend?

解説: (GoShiken メンバーにのみ表示されます)
You plan to create an intelligent bot to handle internal user chats to the help desk of your company. The bot has the following requirements:
* Must be able to interpret what a user means.
* Must be able to perform multiple tasks for a user.
* Must be able to answer questions from an existing knowledge base
You need to recommend which solutions meet the requirements.
Which solution should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解:

Explanation

Box 1: The Language Understanding (LUIS) service
Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.
Box 2: Text Analytics API
The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Box 3: The QnA Maker service
QnA Maker is a cloud-based Natural Language Processing (NLP) service that easily creates a natural conversational layer over your data. It can be used to find the most appropriate answer for any given natural language input, from your custom knowledge base (KB) of information.
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-dispatch
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview
Your company has a data team of Transact-SQL experts.
You plan to ingest data from multiple sources into Azure Event Hubs.
You need to recommend which technology the data team should use to move and query data from Event Hubs to Azure Storage. The solution must leverage the data team's existing skills.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal.

解説: (GoShiken メンバーにのみ表示されます)
You have Azure loT Edge devices that collect measurements every 30 seconds. You plan to send the measurements to an Azure loT hub. You need to ensure that every event is processed as quickly as possible.
What should you use?

解説: (GoShiken メンバーにのみ表示されます)
Your company has several AI solutions and bots.
You need to implement a solution to monitor the utilization of the bots. The solution must ensure that analysts at the company can generate dashboards to review the utilization.
What should you include in the solution?

解説: (GoShiken メンバーにのみ表示されます)
You are designing a solution that uses drones to monitor remote locations for anomalies. The drones have Azure loT Edge devices. The solution must meet the following requirements:
*Email a user the picture and location of an anomaly when an anomaly is detected.
*Use a video stream to detect anomalies at the location.
*Send the pictures and location information to Azure.
*Use the least amount of code possible.
You develop a custom vision Azure Machine Learning module to detect the anomalies.
Which service should you use for each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
正解:

Explanation

Box 1: Azure IOT Edge
Example:
You configure the Remote Monitoring solution to respond to anomalies detected by an IoT Edge device. IoT Edge devices let you process telemetry at the edge to reduce the volume of telemetry sent to the solution and to enable faster responses to events on devices.
Box 2: Azure Functions
Box 3: Azure Logic Apps
References:
https://docs.microsoft.com/en-us/azure/iot-accelerators/iot-accelerators-remote-monitoring-edge
Your company uses several dots The bots use Azure Bot Service.
Several users report that some of the bots fail to return the expected results.
You plan to view the service health of the hot service.
You need 10 request the appropriate role to access the service health of the bot service. The solution must use the principle of least privilege.
Which role should you request?

解説: (GoShiken メンバーにのみ表示されます)
Your company plans to deploy several apps that will use Azure Cognitive Services APIs.
You need to recommend which Cognitive Services APIs must be used to meet the following requirements:
* Must be able to identify inappropriate text and profanities in multiple languages.
* Must be able to interpret user requests sent by using text input.
* Must be able to identify named entities in text.
Which API should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解:

Explanation

Box 1: Content Moderator
The Azure Content Moderator API is a cognitive service that checks text, image, and video content for material that is potentially offensive, risky, or otherwise undesirable. When such material is found, the service applies appropriate labels (flags) to the content. Your app can then handle flagged content in order to comply with regulations or maintain the intended environment for users.
Box 2: Language Understanding (LUIS)
Designed to identify valuable information in conversations, LUIS interprets user goals (intents) and distills valuable information from sentences (entities), for a high quality, nuanced language model. LUIS integrates seamlessly with the Azure Bot Service, making it easy to create a sophisticated bot.
Box 3: Text Analytics
The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
References:
https://docs.microsoft.com/bs-latn-ba/azure/cognitive-services/content-moderator/overview
https://www.luis.ai/home
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/
You plan to deploy an Al solution that tracks the behavior of 10 custom mobile apps. Each mobile app has several thousand users. You need to recommend a solution for real-time data ingestion for the data originating from the mobile app users. Which Microsoft Azure service should you include in the recommendation?

解説: (GoShiken メンバーにのみ表示されます)