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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe features of computer vision workloads on Azure | 15-20% | - Azure AI Vision services
|
| Topic 2: Describe Artificial Intelligence workloads and considerations | 20-25% | - Responsible AI principles
|
| Topic 3: Describe features of generative AI workloads on Azure | 10-15% | - Azure OpenAI and generative services
|
| Topic 4: Describe fundamental principles of machine learning on Azure | 25-30% | - Azure Machine Learning basics
|
| Topic 5: Describe features of natural language processing (NLP) workloads on Azure | 15-20% | - Azure NLP services
|
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NEW QUESTION # 47
You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user:
- Accept customer orders.
- Retrieve support documents.
- Retrieve order status updates.
Which type of NLP should you use?
Answer: D
Explanation:
The correct choice is language understanding (also termed language modeling).
Language understanding allows a system to determine a user's intent from their natural language input. In this scenario, the chatbot needs to look at a text string and map it to one of three specific operational categories (intents):
Accepting a customer order
Retrieving support documentation
Checking an order status update
NEW QUESTION # 48
You are authoring a Conversational Language Understanding application to support a music festival.
You want users to be able to ask questions about scheduled shows, such as: "Which act is playing on the main stage?" The question "Which act is playing on the main stage?" is an example of which type of element?
Answer: B
Explanation:
In Conversational Language Understanding (CLU), an utterance is the spoken or typed input provided by a user in a conversation. It represents a discrete element of their communication, which can be a single sentence, a question, a command, or any form of human language.?
It's a natural language phrase such as "book 2 tickets to Seattle next Tuesday". Example utterances are added to train the model and the model predicts on new utterance at runtime.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/glossary
NEW QUESTION # 49
You are developing an application that continuously transcribes speech from a default microphone by using Azure Speech in Microsoft Foundry Tools.
You need to perform speech-to-text transcription from the microphone.
Which Python class should you use?
Answer: D
NEW QUESTION # 50
You are developing an application that analyze invoices by using Azure Content Understanding in Foundry Tools.
You need to ensure that the application retrieves the analysis results after processing completes.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The completed code is:
poller = client.begin_analyze(
analyzer_id= " invoice " ,
input_url=url
)
result = poller.result()
Azure Content Understanding analysis uses a long-running operation pattern. The Python SDK returns a poller from begin_analyze(), and Microsoft documentation states that the SDK poller handles polling automatically when you call .result() .
Therefore, to retrieve the analysis results after processing completes, the correct option is:
result
The other options are incorrect because status checks operation state, wait waits without returning the final analysis object, and get_results is not the method shown for retrieving the begin_analyze() result in this code pattern.
NEW QUESTION # 51
In the Microsoft Foundry portal, you create an agent named Agent1, and then deploy the agent.
You open the Foundry playground to test Agent1.
What does the playground use to ensure that the tests reflect production behavior?
Answer: A
Explanation:
The Configuration of the Agent: When you open the playground for a deployed agent in the Microsoft Foundry portal, it connects directly to the active deployment and uses the actual configuration, version, model, and tool bindings of the deployed agent to mirror real production logic.
Reference:
https://learn.microsoft.com/en-us/answers/questions/5564123/how-to-enable-the-agents-playground-feature-in-azu
NEW QUESTION # 52
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