Microsoft AI-102 Exam With Confidence Using Practice Dumps

The requirement is to allow User1 to add custom data sources to an Azure OpenAI resource (AI1).

Following the principle of least privilege means granting only the specific rights required.

The Cognitive Services OpenAI Contributor role allows management of Azure OpenAI resources, including attaching custom data sources for RAG (retrieval-augmented generation).

The Cognitive Services Contributor role is broader and grants access to all cognitive services, which violates least privilege.

Search Service Contributor and Search Index Data Contributor are roles for Azure AI Search, not for managing data sources on Azure OpenAI.

Microsoft References:

Azure built-in roles: Cognitive Services OpenAI Contributor

We need to design a Conversational Language Understanding (CLU) model for smart home commands.

The sample utterances:

“Set all the lights to on.” → Intent = change setting, Entity = device (lights)

“Turn off the lights in the living room.” → Intent = change setting, Entities = device (lights) + location (living room)

“What is the current thermostat temperature?” → Intent = query setting, Entity = device (thermostat)

“Lower the temperature of the thermostat by five degrees.” → Intent = change setting, Entity = device (thermostat)

Intents needed:

Change setting intent (D): Covers actions like turning devices on/off, lowering temperature.

Query setting intent (E): Covers questions about current state, like “What is the thermostat temperature?”

Entities needed:

Device entity (F): Identifies devices such as lights and thermostat.

A. a location intent → Location (like “living room”) should be modeled as an entity, not an intent.

B. a change setting entity → Change setting is an action (intent), not an entity.

C. a device intent → Devices are entities, not intents.

Breakdown:Why not the others:

Correct Answer:D. a change setting intent

E. a query setting intent

F. a device entity

Intents and entities in CLU

CLU model design best practices

Microsoft References

Step 1: For the knowledge base, select Show active learning suggestions.

In order to see the suggested questions, on the Edit knowledge base page, select View Options, then select Show active learning suggestions.

Step 2: Approve and reject suggestions.

Each QnA pair suggests the new question alternatives with a check mark, ✔, to accept the question or an x to reject the suggestions. Select the check mark to add the question.

Step 3: Save and train the knowledge base.

Select Save and Train to save the changes to the knowledge base.

Step 4: Publish the knowledge base.

Select Publish to allow the changes to be available from the GenerateAnswer API.

When 5 or more similar queries are clustered, every 30 minutes, QnA Maker suggests the alternate questions for you to accept or reject.