Pass the Microsoft Azure AI Engineer Associate AI-102 Questions and answers with Dumpstech

Obtain values to connect your bot to the knowledge base

1.In the QnA Maker site, select your knowledge base.

2.With your knowledge base open, select the SETTINGS tab. Record the value shown for service name. This value is useful for finding your knowledge base of interest when using the QnA Maker portal interface. It ' s not used to connect your bot app to this knowledge base.

3.Scroll down to find Deployment details and record the following values from the Postman sample HTTP request:

4.POST /knowledgebases/ < knowledge-base-id > /generateAnswer

5.Host: < your-host-url >

6.Authorization: EndpointKey < your-endpoint-key >

You need to monitor a video stream while ensuring the microphone stays enabled and detect when the user asks a question. The simplest/lowest-effort approach is to use Azure AI Speech-to-text to transcribe the user’s audio in real time, then apply a lightweight check (e.g., interrogatives like “who/what/how” or final “?”) to detect a question. Object detection or the Face service analyze visual content (objects/faces/emotions) and cannot tell whether a spoken utterance is a question. Language detection only identifies which language is being spoken; it does not transcribe or classify questions.

References

Azure AI Speech: real-time speech-to-text (streaming) for transcription and downstream analysis.

https://learn.microsoft.com/azure/ai-services/speech-service/speech-to-text

Face service overview (not for speech/question detection).

https://learn.microsoft.com/azure/ai-services/computer-vision/overview-identity

Custom Vision object detection overview (visual objects, not spoken questions).

https://learn.microsoft.com/azure/ai-services/custom-vision-service/object-detection-overview

Language detection capability description (identifies language only).

https://learn.microsoft.com/azure/ai-services/language-service/language-detection/overview

To validate that an input language is supported for translation, call the Translator SDK’s GetLanguagesAsync with scope: " translation " to retrieve the supported languages. The call returns a GetLanguagesResult, whose Translation property is a dictionary keyed by language codes (e.g., " en " , " it " ). You can then check membership with ContainsKey(language) . If the key exists, the language is supported; otherwise, it isn’t.

This matches the .NET Translator client design:

TextTranslationClient.GetLanguagesAsync(...) fetches supported languages.

GetLanguagesResult.Translation is a dictionary of translation-capable languages, so ContainsKey is the correct check.

Microsoft References

TextTranslationClient.GetLanguagesAsync (overview and signature).

Languages REST reference — use scope=translation to get languages supported for translation. Microsoft Learn

GetLanguagesResult class — Translation dictionary property.

In Custom Question Answering (part of Azure AI Language), if you want to define alternative words or spellings for a specific term (e.g., testing , trials , evaluate ), you must use the alterations property.

Each alteration object contains a list of alternative values for the same meaning.

Example:

{

" alterations " : [

{

" alterations " : [

" testing " ,

" trials " ,

" evaluate "

]

}

]

}

phrases is used for pattern matching in question-answer pairs.

synonyms is used for synonyms within LUIS (Language Understanding), not for QnA alterations.

value is used inside synonyms definitions in some contexts but not here.

Correct JSON Payload Completion:

The JSON should be:

{

" alterations " : [

{

" alterations " : [

" testing " ,

" trials " ,

" evaluate "

]

}

]

}

Verified Answer:

Left box: " alterations "

Right box: " alterations "

Microsoft References:

Manage alterations in Custom Question Answering (Azure AI Language)

Authoring API reference for alterations

To perform sentiment analysis, we specify TextAnalytics, not ContentModerator.

Possible SKU names include: ' F0 ' , ' F1 ' , ' S0 ' , ' S1 ' , ' S2 ' , ' S3 ' , ' S4 ' , ' S5 ' , ' S6 ' , ' S7 ' , ' S8 '

Possible location names include: westus, eastus

Requirement: The chatbot must classify user input into categories .

The categories must be dynamic and defined at inference time .

Custom text classification (Language service) requires training beforehand and fixed labels.

OpenAI text classification can dynamically handle categories via prompting at inference.

Therefore, Azure OpenAI text classification is correct.

Microsoft Reference:

Classification with Azure OpenAI

Box 1: GeographyV2

The prebuilt geographyV2 entity detects places. Because this entity is already trained, you do not need to add example utterances containing GeographyV2 to the application intents.

Box 2: Email

Email prebuilt entity for a LUIS app: Email extraction includes the entire email address from an utterance. Because this entity is already trained, you do not need to add example utterances containing email to the application intents.

Box 3: Machine learned

The machine-learning entity is the preferred entity for building LUIS applications.

When using the Speech SDK’s speech translation, a TranslationRecognitionResult includes a Reason property (type ResultReason ) indicating the outcome. For successful translation results, the reason is ResultReason.TranslatedSpeech . In that case, you can read the recognized source text from translationRecognitionResult.Text and iterate the translated outputs from translationRecognitionResult.Translations (a dictionary keyed by target language code).

RecognizingSpeech corresponds to interim hypotheses raised on the Recognizing event and is not the final result reason used here; NoMatch is the branch already handled for unrecognized audio.

Microsoft Azure AI References

Azure AI Speech SDK – Speech translation overview and TranslationRecognizer usage (C#): result handling with ResultReason.TranslatedSpeech , reading Text and Translations .

Speech SDK API reference – TranslationRecognitionResult ( Reason , Text , Translations ) and ResultReason enum (values include TranslatedSpeech , NoMatch , Canceled ).