Designing and Implementing a Microsoft Azure AI Solution AI-102 exam is available. From the news on Microsoft official website, Microsoft AI-102 exam is the new replacement test of AI-100, which will be retired on June 30, 2021. To earn Microsoft Certified: Azure AI Engineer Associate certification, you can choose to take Microsoft AI-100 or AI-102 exam now, but AI-102 exam is still the beta one. Study the following related Microsoft certification AI-102 exam information, you will be easy to prepare the test well.
About Microsoft AI-102 Exam
Candidates for Exam AI-102 should have subject matter expertise building, managing, and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. To take Designing and Implementing a Microsoft Azure AI Solution AI-102 exam, you should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.
Microsoft Certification AI-102 Exam Skills
AI-102 Designing and Implementing a Microsoft Azure AI Solution exam measures your ability to accomplish the following technical tasks.
Plan and manage an Azure Cognitive Services solution (15-20%)
Implement Computer Vision solutions (20-25%)
Implement natural language processing solutions (20-25%)
Implement knowledge mining solutions (15-20%)
Implement conversational AI solutions (15-20%)
Practice Microsoft AI-102 Exam Dumps Questions
The new cracked Microsoft certification AI-102 exam dumps questions can help you test all the above skills. Share some Designing and Implementing a Microsoft Azure AI Solution exam AI-102 exam dumps questions below.
1.You need to implement a table projection to generate a physical expression of an Azure Cognitive Search index. Which three properties should you specify in the skillset definition JSON configuration table node? Each correct answer presents part of the solution. (Choose three.) NOTE: Each correct selection is worth one point.
A.tableName
B.generatedKeyName
C.dataSource
D.dataSourceConnection
E.source
Answer: ABE
2.You are building a multilingual chatbot. You need to send a different answer for positive and negative messages. Which two Text Analytics APIs should you use? Each correct answer presents part of the solution. (Choose two.) NOTE: Each correct selection is worth one point.
A.Linked entities from a well-known knowledge base
B.Sentiment Analysis
C.Key Phrases
D.Detect Language
E.Named Entity Recognition
Answer: BD
3.You are building a bot on a local computer by using the Microsoft Bot Framework. The bot will use an existing Language Understanding model. You need to translate the Language Understanding model locally by using the Bot Framework CLI. What should you do first?
A.From the Language Understanding portal, clone the model.
B.Export the model as an .lu file.
C.Create a new Speech service.
D.Create a new Language Understanding service.
Answer: B
4.You build a conversational bot named bot1.You need to configure the bot to use a QnA Maker application. From the Azure Portal, where can you find the information required by bot1 to connect to the QnA Maker application?
A.Access control (IAM)
B.Properties
C.Keys and Endpoint
D.Identity
Answer: C
5.You are developing the smart e-commerce project. You need to implement autocompletion as part of the Cognitive Search solution. Which three actions should you perform? Each correct answer presents part of the solution. (Choose three.) NOTE: Each correct selection is worth one point
A. Make API queries to the autocomplete endpoint and include suggesterName in the body.
B. Add a suggester that has the three product name fields as source fields.
C. Make API queries to the search endpoint and include the product name fields in the searchFields query parameter.
D. Add a suggester for each of the three product name fields.
E. Set the searchAnalyzer property for the three product name variants.
F. Set the analyzer property for the three product name variants.
Answer: ABF
