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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Generative AI Solutions | 10-15% | - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI - Implement prompt engineering techniques - Apply responsible AI practices |
| Topic 2: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Design document processing pipelines - Implement semantic and vector search - Implement Azure AI Search solutions - Create custom skills for Azure AI Search |
| Topic 3: Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence - Analyze images using Azure AI Vision - Process video and generate insights |
| Topic 4: Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Implement speech capabilities using Azure AI Speech - Create conversational AI solutions with Azure AI Bot Service - Build question answering solutions - Analyze text using Azure AI Language |
| Topic 5: Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Design and implement decision automation - Integrate Azure AI services into applications |
| Topic 6: Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions - Manage AI costs and resource allocation - Plan and configure secure AI solutions |
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NEW QUESTION # 139
You need to develop code to upload images for the product creation project. The solution must meet the accessibility requirements.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://github.com/Azure-Samples/cognitive-services-dotnet-sdk-samples/blob/master/documentation-samples/quickstarts/ComputerVision/Program.cs
NEW QUESTION # 140
Drag and Drop Question
You are building a phone call handling solution that will use the Azure AI Speech service and a custom neural voice.
You need to create a custom speech model.
Which five actions should you perform in sequence from Speech Studio? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-create- project
https://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-create- consent
NEW QUESTION # 141
You have an app named App1 that uses an Azure Cognitive Services model to identify anomalies in a time series data stream. You need to run App1 in a location that has limited connectivity. The solution must minimize costs. What should you use to host the model?
Answer: A
Explanation:
* Azure Cognitive Services models can be containerized and run locally using Docker.
* This allows apps to function in disconnected or edge environments, while still using pre-trained AI models.
* A. Azure Kubernetes Service (AKS) # Cloud-managed; not suitable for limited connectivity.
* B. Azure Stack Hub Kubernetes cluster # Overkill and high cost.
* C. Azure Container Instances (ACI) # Cloud-based; requires connectivity.
* D. Docker Engine # Best for local, offline, and cost-effective deployment.
Reference: Run Cognitive Services in containers
NEW QUESTION # 142
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.
Answer:
Explanation:
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
NEW QUESTION # 143
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.
Answer:
Explanation:
Explanation:
NEW QUESTION # 144
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