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| Section | Weight | Objectives |
|---|---|---|
| Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Integrate Azure AI services into applications - Design and implement decision automation |
| Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Manage AI costs and resource allocation - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions |
| 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 |
| Implement Natural Language Processing Solutions | 20-25% | - Create conversational AI solutions with Azure AI Bot Service - Build question answering solutions - Implement speech capabilities using Azure AI Speech - Analyze text using Azure AI Language - Translate text and speech |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Design document processing pipelines - Implement Azure AI Search solutions - Create custom skills for Azure AI Search - Implement semantic and vector search |
| Implement Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Process video and generate insights - Analyze images using Azure AI Vision |
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276. Frage
You are building a flight booking bot by using the Microsoft Bot Framework SDK.
The bot will ask users for their departure date. The bot must repeat the question until a valid date is given, or the users cancel the transaction.
Which type of dialog should you use?
Antwort: A
Begründung:
* The requirement is:
* Bot asks for a date input.
* Bot repeats the question until a valid date is provided.
* Bot allows cancellation of transaction.
* This is exactly what Prompts in Bot Framework are designed for.
* Example: DateTimePrompt asks for a date, validates the input, and automatically re-prompts if invalid.
* Waterfall is for multi-step dialog flows, but the specific requirement is repeating until valid input - handled by Prompts.
* Adaptive and Action dialogs are not relevant here in SDK context.
277. Frage
You plan to use a Language Understanding application named app1 that is deployed to a container.
App1 was developed by using a Language Understanding authoring resource named lu1.
App1 has the versions shown in the following table.
You need to create a container that uses the latest deployable version of app1.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose three.)
Antwort:
Begründung:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto
278. Frage
You run the following command.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Antwort:
Begründung:
Explanation:
Box 1: Yes
http://localhost:5000/status
Also requested with GET, this verifies if the api-key used to start the container is valid without causing an endpoint query.
Box 2: Yes
The command saves container and LUIS logs to output mount at C:\output, located on container host Box 3: Yes
http://localhost:5000/swagger
The container provides a full set of documentation for the endpoints and a Try it out feature. With this feature, you can enter your settings into a web-based HTML form and make the query without having to write any code. After the query returns, an example CURL command is provided to demonstrate the HTTP headers and body format that's required.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto
279. Frage
You have an Azure subscription that contains an Azure Al Search resource named AS1.
You implement a custom skill in AS1 that performs language and sentiment analysis of documents.
You ate evaluating the use of AS1 as part of an enrichment pipeline.
In which order will AS1 index the documents? To answer, move all indexing stages from the list of stages to the answer area and arrange them in the correct order.
Antwort:
Begründung:
Explanation:
Comprehensive Detailed Explanation
When an indexer runs in Azure AI Search, it processes each document through a fixed series of stages:
Document cracking
The indexer opens the item (file/row) and extracts text, images, and metadata, creating the root of the enriched document (/document). This is always the first stage.
Field mappings
Next, source fields are mapped directly to target index fields before any transformations . Field mappings occur after document cracking but before skillset execution . Microsoft Learn Skillset execution Built-in or custom skills (for example, language and sentiment analysis in your scenario) run and write outputs into the in-memory enriched document. Microsoft Learn Output field mappings Because skill outputs live only in memory, you must define output field mappings to route selected nodes of the enriched document into index fields. This step comes after skillset execution.
Push to index
Finally, the indexer hands off raw and enriched content to the search index (the physical data structures) so it becomes searchable-i.e., the content is "pushed to the index." Microsoft Learn This order- document cracking # field mappings # skillset execution # output field mappings # push to index -ensures raw content is extracted, direct source-to-index mappings are applied, AI enrichment is performed, enriched outputs are projected to fields, and the completed documents are written into the index.
Microsoft Azure AI References
Indexers in Azure AI Search - Stages of indexing (Document cracking; Field mappings; Skillset execution; Output field mappings, with field mappings occurring before transformations). Microsoft Learn Skillset concepts (Output of skillset is routed to the index via output field mappings after skillset execution).
Microsoft Learn
AI enrichment concepts (Field mappings move raw source content to the index; output field mappings move enriched content; indexing ingests raw and enriched content into the physical index). Microsoft Learn Annotations & enriched document tree (Enriched document is created during document cracking at
/document). Microsoft Learn
280. Frage
You are developing an application that includes language translation.
The application will translate text retrieved by using a function named getTextToBeTranslated. The text can be in one of many languages. The content of the text must remain within the Americas Azure geography.
You need to develop code to translate the text to a single language.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
281. Frage
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