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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and Manage an Azure AI Solution | 15-20% | - Implement governance and compliance for AI solutions - Select appropriate Azure AI services and technologies - Plan and configure secure AI solutions - Manage AI costs and resource allocation |
| Topic 2: Implement Computer Vision Solutions | 15-20% | - Analyze images using Azure AI Vision - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence - Process video and generate insights - Implement Azure AI Face service |
| Topic 3: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Create custom skills for Azure AI Search - Implement semantic and vector search - Implement Azure AI Search solutions - Design document processing pipelines |
| Topic 4: Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Monitor and optimize decision support solutions - Integrate Azure AI services into applications |
| Topic 5: Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Implement prompt engineering techniques - Apply responsible AI practices - Integrate Azure OpenAI models into applications |
| Topic 6: Implement Natural Language Processing Solutions | 20-25% | - Build question answering solutions - Analyze text using Azure AI Language - Create conversational AI solutions with Azure AI Bot Service - Translate text and speech - Implement speech capabilities using Azure AI Speech |
These Microsoft AI-102 questions will give you an accurate foresight of the Microsoft AI-102 examination format. This Microsoft AI-102 is easily downloadable and even printable, this way you can also pursue paper study if that is your preferred method. The portability of this material makes it handier since you can access it on any smart device such as smart phones, laptops, tablets, etc. These Microsoft AI-102 features make this prep method the most comfortable one.
NEW QUESTION # 372
You have a Custom Vision service project that performs object detection. The project uses the General domain for classification and contains a trained model.
You need to export the model for use on a network that is disconnected from the internet.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list o' actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
NEW QUESTION # 373
Which database transaction property ensures that transactional changes to a database are preserved during unexpected operating system restarts?
Answer: C
Explanation:
* The D in ACID stands for Durability.
* Durability guarantees that once a transaction is committed, the changes are permanent, even in the case of power loss, crashes, or OS restarts.
* Atomicity = all-or-nothing.
* Consistency = valid state transitions.
* Isolation = transactions run independently without interference.
The answer: A. durability
NEW QUESTION # 374
You run the following command.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto
NEW QUESTION # 375
You are building an app that will share user images.
You need to configure the app to meet the following requirement's
* uploaded images must be scanned and any text must be extracted from the images.
* Extracted text must be analyzed for the presence of profane language.
* The solution must minimize development effort.
what should you use for each requirement? To answer, select the apocopate opinions in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 376
You are building an Azure Cognitive Search custom skill.
You have the following custom skill schema definition.
For each of the following statements, select Yes if the statement. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Code Recap (Custom Skill JSON Schema)
{
" @odata.type " : " #Microsoft.Skills.Custom.WebApiSkill " ,
" description " : " My custom skill description " ,
" uri " : " https://contoso-webskill.azurewebsites.net/api/process " ,
" context " : " /document/organizations/* " ,
" inputs " : [
{
" name " : " companyName " ,
" source " : " /document/organizations/* "
}
],
" outputs " : [
{
" name " : " companyDescription "
}
]
}
Statement Analysis
CompanyDescription is available for indexing.
Yes.
The skill produces an output field called companyDescription . Outputs of a custom skill become part of the enrichment tree, which can then be projected into the search index or knowledge store.
The definition calls a web API as part of the enrichment process.
Yes.
This is a Web API skill ( @odata.type: #Microsoft.Skills.Custom.WebApiSkill ) with a uri pointing to
https://contoso-webskill.azurewebsites.net/api/process . This means an external web API is called to enrich data.
The enrichment step is called only for the first organization under /document/organizations .
No.
The context is set to " /document/organizations/* " , where the * means the skill runs for each element in the collection. It is not limited to the first element.
Final Answer
CompanyDescription is available for indexing # Yes
The definition calls a web API as part of the enrichment process # Yes
The enrichment step is called only for the first organization under /document/organizations # No Microsoft References Custom skills in Azure Cognitive Search Enrichment tree and skill context Reference:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-output-field-mapping
NEW QUESTION # 377
......
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