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| Section | Weight | Objectives |
|---|---|---|
| Plan and Manage an Azure AI Solution | 15-20% | - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions - Manage AI costs and resource allocation - Select appropriate Azure AI services and technologies |
| Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Create conversational AI solutions with Azure AI Bot Service - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Build question answering solutions |
| Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Implement object detection and image classification - Analyze images using Azure AI Vision - Process video and generate insights |
| Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Integrate Azure OpenAI models into applications - Implement prompt engineering techniques - Apply responsible AI practices |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Implement Azure AI Search solutions - Create custom skills for Azure AI Search - Design document processing pipelines |
| Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Design and implement decision automation - Monitor and optimize decision support solutions |
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NEW QUESTION # 99
You have a Microsoft OneDrive folder that contains a 20-GB video file named FileVavi. You need to index File1.avi by using the Azure Video Indexer website. What should you do?
Answer: D
Explanation:
Azure Video Indexer can ingest a video by URL as long as the URL is publicly accessible and directly downloadable (no authentication or HTML landing page). Creating a download link in OneDrive produces a direct-file URL that Video Indexer can fetch and index without you re-uploading the 20-GB file through your browser. A generic OneDrive "sharing link" often lands on a web page (not a direct file) and may require authentication, which Video Indexer cannot crawl. Uploading locally is possible but unnecessary and time- consuming for a 20-GB video.
Microsoft References
* Upload/index videos in Video Indexer (supports uploading from a public URL).https://learn.microsoft.
com/azure/azure-video-indexer/upload-index-videos
* Video Indexer quotas and limits (file size limits; uploading by URL).
NEW QUESTION # 100
You are building an app that will analyze text by using the Azure Al Language service.
You need to configure the app to mask the telephone number and email details in a given document.
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:
To mask (redact) phone numbers and email addresses in text using Azure AI Language, you should call the PII entity recognition operation and then print the redacted text that the service returns. In the SDKs, this corresponds to calling RecognizePiiEntities and reading the RedactedText from the result object. The PII feature automatically detects categories such as PhoneNumber and Email and returns a redacted version of the input (masked) in the redactedText/RedactedText field. This is exactly what the code snippet's "Masked Text" output is asking for.
Therefore:
* Use RecognizePiiEntities to detect and redact PII in the document.
* Output RedactedText to print the masked string.
Microsoft References
* How-to: Detect and redact PII in text (overview and redaction behavior). Microsoft Learn
* Quickstart: Detect Personally Identifiable Information (shows PII detection and redacted output).
Microsoft Learn
* .NET reference: PiiEntityCollection.RedactedText property ("Gets the text of the input document with all PII redacted"). Microsoft Learn
* Python client overview: recognize_pii_entities operation for PII detection. Microsoft Learn
NEW QUESTION # 101
You plan to deploy an Azure OpenAI resource by using an Azure Resource Manager (ARM) template.
You need to ensure that the resource can respond to 600 requests per minute.
How should you complete the template? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
When deploying an Azure OpenAI model using the Microsoft.CognitiveServices/accounts/deployments resource in an ARM template, the throughput for a Standard deployment is set on the SKU object.
Specifically:
* Use the capacity field of the SKU to specify the per-deployment rate.
* Provide the integer value that represents the requests per minute (RPM) you want the deployment to handle.
Therefore, to meet the requirement of 600 requests per minute, complete the template as:
"sku": {
"name": "Standard",
"capacity": 600
}
This uses a single deployment SKU with a defined capacity. The ARM schema for accounts/deployments explicitly includes sku.capacity for resources that support scale (Azure OpenAI deployments do), and Azure OpenAI quota/rate-limit guidance confirms that rate limits are assigned per deployment.
Microsoft Azure AI Solution References
* ARM template-Microsoft.CognitiveServices/accounts/deployments (2023-05-01): property reference showing sku.capacity. Microsoft Learn
* Resource type reference-latest accounts/deployments: confirms SKU usage on deployments.
Microsoft Learn
* Azure OpenAI quota and rate limits: explains assigning deployment-level limits (RPM/TPM).
Microsoft Learn
NEW QUESTION # 102
You have an Azure DevOps pipeline named Pipeline1 that is used to deploy an app. Pipeline1 includes a step that will create an Azure AI services account.
You need to add a step to Pipeline1 that will identify the created Azure AI services account. The solution must minimize development effort.
Which Azure Command-Line Interface (CLI) command should you run?
Answer: D
Explanation:
The az cognitiveservices account show command retrieves details about a specified Azure AI Services account, including its properties and settings. By using this command in the Azure DevOps pipeline, you can identify and confirm the details of the Azure AI services account that was created in a previous step.
NEW QUESTION # 103
You are developing a text processing solution.
You develop the following method.
You call the method by using the following code.
GetKeyPhrases(textAnalyticsClient, "the cat sat on the mat");
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:
Explanation
Box 1: Yes
The Key Phrase Extraction API evaluates unstructured text, and for each JSON document, returns a list of key phrases.
Box 2: No
'the' is not a key phrase.
This capability is useful if you need to quickly identify the main points in a collection of documents. For example, given input text "The food was delicious and there were wonderful staff", the service returns the main talking points: "food" and "wonderful staff".
Box 3: No
Key phrase extraction does not have confidence levels.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-keyword-
NEW QUESTION # 104
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