Microsoft Updated AI-102 Exam Questions and Answers by montgomery

First blank: speech_recognition_language

Second blank: add_target_language

speech_translation_config = speechsdk.translation.SpeechTranslationConfig(

subscription=os.environ.get( ' SPEECH_KEY ' ),

region=os.environ.get( ' SPEECH_REGION ' )

)

# Source (recognition) language: English (US)

speech_translation_config.speech_recognition_language = " en-US "

# Target translation language: Italian

speech_translation_config.add_target_language( " it " )

audio_config = speechsdk.audio.AudioConfig(use_default_microphone= True )

recognizer = speechsdk.translation.TranslationRecognizer(

translation_config=speech_translation_config,

audio_config=audio_config

)

Comprehensive Detailed Explanation along with All References available from Microsoft Azure AI Solution at the end of the explanation

To translate speech, configure a SpeechTranslationConfig with (1) the recognition language of the input audio and (2) one or more target languages for translation. In Python, you set the input language with the speech_recognition_language property (e.g., " en-US " ), and you add a target with add_target_language( " < locale > " ) (e.g., " it " for Italian). This exactly matches the SDK guidance and examples for speech translation. Microsoft Learn

speech_recognition_language specifies the locale used by the recognizer to understand the spoken input.

add_target_language( " it " ) adds Italian as a translation output language.

Microsoft References

How to translate speech with the Speech SDK (Python examples show translation_config.speech_recognition_language = from_language and translation_config.add_target_language(...) ). Microsoft Learn

SpeechTranslationConfig (Python) reference — add_target_language(language: str) . Microsoft Lea rn

Recognize speech (property usage for speech_recognition_language ). Microsoft Learn

Language support for Speech service (locales and codes for recognition/translation)

Scenario Recap

You are building a streaming Speech-to-Text solution using the Speech SDK.

Input audio format: MP3 encoding

You must configure the audio stream format and the recognizer properly.

Code Analysis

Audio Format

For MP3 streams, the correct method is:

AudioStreamFormat.GetCompressedFormat(AudioStreamContainerFormat.MP3)

This creates an audio format object for compressed MP3 input.

Recognizer

Since the task is speech-to-text transcription, you need the SpeechRecognizer class.

Other options like KeywordRecognizer, SpeakerRecognizer, or SpeechSynthesizer are not appropriate (they handle keyword spotting, speaker identification, or text-to-speech).

Completed Code Snippet

var audioFormat = AudioStreamFormat.GetCompressedFormat(AudioStreamContainerFormat.MP3);

var speechConfig = SpeechConfig.FromSubscription( " 18c51a87-3a69-47a8-aedc-a54745f708a1 " , " westus " );

var audioConfig = AudioConfig.FromStreamInput(pushStream, audioFormat);

using ( var recognizer = new SpeechRecognizer(speechConfig, audioConfig))

{

var result = await recognizer.RecognizeOnceAsync();

var text = result.Text;

}

Final Answer (Answer Area Selections)

AudioFormat: AudioStreamFormat.GetCompressedFormat

Recognizer: SpeechRecognizer

Microsoft References

Speech SDK – AudioStreamFormat

SpeechRecognizer class

Analysis:

Azure AI Bot Service (A): Helps build chatbots but does not store grounding data → ❌

Azure SQL (B): Possible storage, but not recommended for vector search grounding → ❌

Azure AI Document Intelligence (C): Extracts structured info, not used directly for grounding → ❌

Azure Blob Storage (D): Required for storing raw files used in retrieval-augmented generation (RAG) → ✅

Azure AI Search (E): Used to index, vectorize, and query data for grounding → ✅

Correct Answer:

D. Azure Blob Storage and E. Azure AI Search