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Top AI-102 Test Lab Questions & Top Microsoft Certification Training – Useful Microsoft Designing and Implementing a Microsoft Azure AI Solution

Top AI-102 Test Lab Questions & Top Microsoft Certification Training – Useful Microsoft Designing and Implementing a Microsoft Azure AI Solution

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Designing and Implementing a Microsoft Azure AI Solution AI-102 practice test not only gives you the opportunity to practice with real exam questions but also provides you with a self-assessment report highlighting your performance in an attempt. Dumpexams keeps an eye on changes in the Microsoft AI-102 exam syllabus and updates Designing and Implementing a Microsoft Azure AI Solution AI-102 Exam Dumps accordingly to make sure they are relevant to the latest exam topics. After making the payment for Designing and Implementing a Microsoft Azure AI Solution AI-102 dumps questions you’ll be able to get free updates for up to 365 days.

The Microsoft AI-102 certification exam is a great way to demonstrate your expertise in AI and Azure services. The certification is recognized globally and is highly respected in the industry. Having this certification on your resume can help you stand out in the job market and increase your chances of landing a job in the AI field. In addition, the certification can also lead to higher salaries and better job opportunities.

The Microsoft AI-102 certification exam is an essential step for professionals who want to advance their careers in the field of AI. This certification demonstrates that the candidate has the skills and knowledge needed to design and implement AI solutions on the Microsoft Azure platform. It also shows that the candidate is committed to staying up-to-date with the latest trends and technologies in the field of AI.

In addition to technical skills, the Microsoft AI-102 exam also tests candidates’ ability to design AI solutions that meet business requirements. This includes understanding how to assess the feasibility of different AI solutions, identify relevant use cases, and evaluate the impact of AI on business processes. Candidates will also be tested on their ability to communicate the benefits and limitations of AI to stakeholders.

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q162-Q167):

NEW QUESTION # 162
You are planning the product creation project.
You need to build the REST endpoint to create the multilingual product descriptions.
How should you complete the URI? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-translate
Topic 2, Contoso, Ltd.
Infrastructure
Contoso has the following subscriptions:
* Azure
* Microsoft 365
* Microsoft Dynamics 365
Azure Active (Azure AD) Directory
Contoso has Azure Active Directory groups for securing role-based access. The company uses the following group naming conventions:
* ICountryJ-[Levell-[Role]
* [Level]-[Role]
Intellectual Property
Contoso has the intellectual property shown in the following table.

Text-based content is provided only in one language and is not translated.
Planned Projects
Contoso plans to develop the following:
* A document processing workflow to extract information automatically from PDFs and images of financial documents
* A customer-support chatbot that will answer questions by using FAQs
* A searchable knowledgebase of all the intellectual property
Technical Requirements
Contoso identifies the following technical requirements:
* All content must be approved before being published.
* All planned projects must support English, French, and Portuguese.
* All content must be secured by using role-based access control (RBAC).
* RBAC role assignments must use the principle of least privilege.
* RBAC roles must be assigned only to Azure Active Directory groups.
* Al solution responses must have a confidence score that is equal to or greater than 70 percent.
* When the response confidence score of an Al response is lower than 70 percent, the response must be improved by human input.
Chatbot Requirements
Contoso identifies the following requirements for the chatbot:
* Provide customers with answers to the FAQs.
* Ensure that the customers can chat to a customer service agent.
* Ensure that the members of a group named Management-Accountants can approve the FAQs.
* Ensure that the members of a group named Consultant-Accountants can create and amend the FAQs.
* Ensure that the members of a group named the Agent-CustomerServices can browse the FAQs.
* Ensure that access to the customer service agents is managed by using Omnichannel for Customer Service.
* When the response confidence score is low. ensure that the chatbot can provide other response options to the customers.
Document Processing Requirements
Contoso identifies the following requirements for document processing:
* The document processing solution must be able to process standardized financial documents that have the following characteristics:
* Contain fewer than 20 pages.
* Be formatted as PDF or JPEG files.
* Have a distinct standard for each office.
* The document processing solution must be able to extract tables and text from the financial documents.
* The document processing solution must be able to extract information from receipt images.
* Members of a group named Management-Bookkeeper must define how to extract tables from the financial documents.
* Members of a group named Consultant-Bookkeeper must be able to process the financial documents.
Knowledgebase Requirements
Contoso identifies the following requirements for the knowledgebase:
* Supports searches for equivalent terms
* Can transcribe jargon with high accuracy
* Can search content in different formats, including video
* Provides relevant links to external resources for further research

NEW QUESTION # 163
You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements:
Use a single key and endpoint to access multiple services.
Consolidate billing for future services that you might use.
Support the use of Computer Vision in the future.
How should you complete the HTTP request to create the new resource? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/rest/api/deviceupdate/resourcemanager/accounts/create
https://www.analyticsvidhya.com/blog/2020/12/microsoft-azure-cognitive-services-api-for-ai-development/

NEW QUESTION # 164
You are building a natural language model.
You need to enable active learning.
What should you do?

  • A. Add log=true to the prediction endpoint query.
  • B. Add show-all-intents=true to the prediction endpoint query.
  • C. Enable sentiment analysis.
  • D. Enable speech priming.

Answer: A

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-review-endpoint-utterances#log-user-

NEW QUESTION # 165
Which scenario is an example of a streaming workload?

  • A. sending cloud infrastructure metadata every 30 minutes
  • B. sending transactions daily from point of sale (POS) devices
  • C. sending transactions that are older than a month to an archive
  • D. sending telemetry data from edge devices

Answer: D

NEW QUESTION # 166
You have a Video Indexer service that is used to provide a search interface over company videos on your company’s website.
You need to be able to search for videos based on who is present in the video. What should you do?

  • A. Invite the entire staff of the company to Video Indexer.
  • B. Create a person model and associate the model to the videos.
  • C. Create person objects and provide face images for each object.
  • D. Edit the faces in the videos.
  • E. Upload names to a language model.

Answer: B

Explanation:
Video Indexer supports multiple Person models per account. Once a model is created, you can use it by providing the model ID of a specific Person model when uploading/indexing or reindexing a video. Training a new face for a video updates the specific custom model that the video was associated with.
Note: Video Indexer supports face detection and celebrity recognition for video content. The celebrity recognition feature covers about one million faces based on commonly requested data source such as IMDB, Wikipedia, and top LinkedIn influencers. Faces that aren’t recognized by the celebrity recognition feature are detected but left unnamed. Once you label a face with a name, the face and name get added to your account’s Person model. Video Indexer will then recognize this face in your future videos and past videos.
Reference:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/customize-person-model-with-api

NEW QUESTION # 167
……

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