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| Section | Objectives |
|---|---|
| Implement Computer Vision Solutions | - Extract information using OCR and form recognition - Implement custom vision models - Analyze images and videos using Azure AI Vision |
| Implement Knowledge Mining and Document Intelligence | - Build Azure AI Search solutions - Implement document intelligence solutions - Enrich and index data for search scenarios |
| Plan and Manage an Azure AI Solution | - Manage security, compliance, and responsible AI - Select appropriate Azure AI services - Plan solution requirements and architecture |
| Implement Generative AI Solutions | - Implement Azure OpenAI Service solutions - Integrate prompt engineering techniques - Build retrieval-augmented generation (RAG) solutions |
| Implement Natural Language Processing Solutions | - Translate and interpret language using Azure AI services - Analyze text using Azure AI Language - Implement question answering and conversational AI |
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NEW QUESTION # 247
You have a collection of Microsoft Word documents and PowerPoint presentations in German.
You need to create a solution to translate the file to French. The solution must meet the following requirements:
* Preserve the original formatting of the files.
* Support the use of s custom glossary.
You create a blob container for German files and a blob container for French files. You upload the original files to the container for German files.
Which three actions should you perform in sequence actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
NEW QUESTION # 248
You plan to use containerized versions of the Anomaly Detector API on local devices for testing and in on-premises datacenters.
You need to ensure that the containerized deployments meet the following requirements:
Prevent billing and API information from being stored in the command-line histories of the devices that run the container.
Control access to the container images by using Azure role-based access control (Azure RBAC).
Which four 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 four.) NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/container-registry/container-registry-intro
NEW QUESTION # 249
You are developing a streaming Speech to Text solution that will use the Speech SDK and MP3 encoding.
You need to develop a method to convert speech to text for streaming MP3 data.
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://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/how-to-use-codec-compressed-audio-input-streams?tabs=debian&pivots=programming-language-csharp
NEW QUESTION # 250
You need to develop an extract solution for the receipt images. The solution must meet the document processing requirements and the technical requirements.
You upload the receipt images to the From Recognizer API for analysis, and the API ret urns the following JSON.
Which expression should you use to trigger a manual review of the extracted information by a member of the Consultant-Bookkeeper group?
Answer: A
Explanation:
The requirements state:
* All AI solution responses must have a confidence score # 70%.
* If the response confidence score is < 70%, the response must be improved by human input.
* Members of the Consultant-Bookkeeper group must be able to process financial documents, which includes performing manual review when the AI confidence is below threshold.
Looking at the provided JSON:
"fields": {
"ReceiptType": {
"type": "string",
"valueString": "Itemized",
"confidence": 0.672
},
"MerchantName": {
"type": "string",
"valueString": "Tailwind",
"confidence": 0.913
}
}
* ReceiptType.confidence = 0.672 # this is below 0.7.
* MerchantName.confidence = 0.913 # this is above 0.7.
Therefore, the correct condition for triggering manual review is:
documentResults.fields.<field>.confidence < 0.7
Now, evaluating the options:
* A. documentResults.docType == "prebuilt:receipt"
* Always true for receipts, does not check confidence. Not correct.
* B. documentResults.fields.*.confidence < 0.7
* This is the correct general expression: trigger manual review whenever any field confidence is below 0.7.
* C. documentResults.fields.ReceiptType.confidence > 0.7
* This would bypass manual review when ReceiptType has high confidence. The requirement is to trigger review when confidence < 0.7, so this is the opposite.
* D. documentResults.fields.MerchantName.confidence < 0.7
* This only checks one field (MerchantName). In the JSON, MerchantName has confidence 0.913 (>0.7), so this condition would not trigger, but ReceiptType clearly needs review. Too narrow.
B). documentResults.fields.*.confidence < 0.7
* Azure AI Document Intelligence - Confidence scores
* Human-in-the-loop for Document Intelligence
Microsoft References
NEW QUESTION # 251
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Azure Databricks is an Apache Spark-based analytics platform. # Yes
Azure Analysis Services is used for transactional workloads. # No
Azure Data Factory orchestrates data integration workflows. # Yes
Let's break down each statement:
Azure Databricks is an Apache Spark-based analytics platform.
True.
Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics platform .
It is designed for data engineering, machine learning, and AI workloads.
The answer: Yes
Azure Analysis Services is used for transactional workloads.
False.
Azure Analysis Services is an analytical service for semantic data modeling, OLAP (online analytical processing), and BI (business intelligence).
Transactional workloads belong to OLTP (online transaction processing) databases such as Azure SQL Database.
The answer: No
Azure Data Factory orchestrates data integration workflows.
True.
Azure Data Factory (ADF) is a cloud-based ETL and data integration service that orchestrates and automates data movement and transformation across on-premises and cloud systems.
The answer: Yes
NEW QUESTION # 252
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