AI-102 Exam Dumps and Practice Questions

You created five bots with Microsoft Bot Framework Composer, but want to make them appear as one unified bot for users, with dynamic routing depending on user input.

This is exactly the Bot Framework Orchestrator scenario. Orchestrator is the recognizer that allows you to dispatch incoming utterances to the correct skill (bot) or dialog.

Step 1 -- Install Orchestrator package

To use Orchestrator inside Bot Framework Composer, you first install the Orchestrator package.

This provides the functionality for language understanding and routing.

Correct answer: F.

Step 2 -- Change Recognizer/Dispatch type

By default, a bot project might use LUIS recognizer or Regex recognizer.

To use Orchestrator, you need to change the recognizer type to Orchestrator in Composer.

Correct answer: B.

Step 3 -- Create an Orchestrator model

Orchestrator requires a trained model that maps utterances to intents or routes them to the correct skill/bot.

You must create an Orchestrator model for dispatch.

Correct answer: A.

Other Options (Incorrect):

C . Create a Composer extension Not required for orchestrating multiple bots.

D . Enable WebSockets Useful for streaming scenarios, not for bot orchestration.

For Azure AI Agent Service, the documented quota for the maximum total size of all files uploaded for agents has been listed as 100 GB. Individual files are limited to 512 MB each. These limits are relevant when you plan an agent that must combine and process multiple user-uploaded files. (Note: Quotas can evolve; check the current ''Quotas and limits'' page for your region.)

Reference (Microsoft Docs / Q&A):

Microsoft Q&A (Agent Service limits: ''Max size for all uploaded files for agents 100 GB''; per-file 512 MB). Microsoft Learn

File Search tool how-to (per-file 512 MB guidance). Microsoft Learn

Scenario: Support autocompletion and autosuggestion based on all product name variants.

A: Call a suggester-enabled query, in the form of a Suggestion request or Autocomplete request, using an API. API usage is illustrated in the following call to the Autocomplete REST API.

POST /indexes/myxboxgames/docs/autocomplete?search&api-version=2020-06-30

{

'search': 'minecraf',

'suggesterName': 'sg'

}

B: In Azure Cognitive Search, typeahead or 'search-as-you-type' is enabled through a suggester. A suggester provides a list of fields that undergo additional tokenization, generating prefix sequences to support matches on partial terms. For example, a suggester that includes a City field with a value for 'Seattle' will have prefix combinations of 'sea', 'seat', 'seatt', and 'seattl' to support typeahead.

https://docs.microsoft.com/en-us/azure/search/index-add-suggesters

To present a list of options with images, you use Adaptive Cards, which allow for rich content such as images, buttons, and formatted text in the conversation.

These cards are typically surfaced within the context of a dialog, which controls the flow of the conversation.

Azure functions are unrelated here.

Entities and utterances belong to natural language understanding, not UI presentation.

Correct Answe r: B and D

A view is a virtual table based on the result set of a query.

Views allow you to encapsulate complex queries (including joins and calculated columns) and make them reusable by other users.

Index improves performance but does not store or rerun queries.

Scalar function returns a single value, not a tabular result.

Table stores raw data, not queries.