Online Access Free AI-102 Practice Test

You have an Azure Al Speech service resource named Resource1.
You call Resource1 by running the following Python code.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth point.

Correct Answer:

Explanation:

The code creates a SpeechConfig and an AudioOutputConfig with filename= " path/to/file.wav " , then constructs a SpeechSynthesizer and calls speak_text_async(input) .
Existing file behavior: AudioOutputConfig with a filename directs synthesis output to that file path; the documentation emphasizes that it specifies the output file and that the parent directory must already exist. It does not require a unique filename (i.e., it does not fail purely because a file exists). In practice, the SDK writes to the specified path. Therefore, the statement claiming failure if a file already exists is No.
Voice source: The filename in AudioOutputConfig is output, not input. To choose a voice, you set speech_config.speech_synthesis_voice_name or use SSML; the WAV file isn't "sampled" to create a voice.
Hence this statement is No. Microsoft Learn
File generation: Using AudioOutputConfig(filename=...) with SpeechSynthesizer and speak_text_async(...) writes synthesized audio to that file. Many samples show the same pattern (often with .get() to wait for completion). So the function's purpose is to generate an audio file from the input text-Yes.
Note: In production, call .get() (or await) on speak_text_async(...) so the program waits for synthesis to complete before exiting. Microsoft Learn References (Microsoft Azure AI Speech) How to synthesize speech from text (create AudioOutputConfig to write to a file; synthesize with speak_text_async ).
Python AudioConfig class (audio output can be a speaker, audio file (WAV), or stream). Microsoft Learn NET AudioConfig.FromWavFileOutput (specifies output file; parent directory must already exist).
Microsoft Learn
Azure Q & A example (Python: speak_text_async(...).get() usage). Microsoft Learn

You develop an app in O named App1 that performs speech-to-speech translation.
You need to configure App1 to translate English to German.
How should you complete the speechTransiationConf ig object? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:

You are configuring speech-to-speech translation in an app. The workflow is:
Recognize spoken input language (in this case, English).
Translate the recognized text into the target language (in this case, German).
(Optional) Synthesize speech in the target language.
Step 1 - SpeechRecognitionLanguage
This property defines the input language for speech recognition.
Since the input is English, it should be set to " en-US " .
Step 2 - AddTargetLanguage
This method specifies the output translation language(s).
Since the requirement is to translate into German, use " de " .
Other options (incorrect here):
speechSynthesisLanguage # used if you want to output translated text as synthesized speech in the target language voice. Not required in this snippet.
voiceName # specifies the actual voice to use for speech synthesis, not translation.
Correct Completed Code Snippet:
var translationConfig = SpeechTranslationConfig.FromSubscription(SPEECH_SUBSCRIPTION_KEY, SPEECH_SERVICE_REGION); translationConfig.SpeechRecognitionLanguage = " en-US " ; translationConfig.AddTargetLanguage( " de " ); Microsoft References Speech Translation with Azure AI Speech SDK SpeechTranslationConfig Class Reference

You need to implement a table projection to generate a physical expression of an Azure Cognitive Search index.
Which three properties should you specify in the skillset definition JSON configuration table node? Each correct answer presents part of the solution. (Choose three.) NOTE: Each correct selection is worth one point.

• A.dataSourceConnection
• B.generatedKeyName
• C.source
• D.tableName
• E.dataSource

You have an Azure subscription that contains an Azure OpenAI resource named All and an Azure Al Content Safety resource named CS1.
You build a chatbot that uses All to provide generative answers to specific questions and CS1 to check input and output for objectionable content.
You need to optimize the content filter configurations by running tests on sample questions.
Solution: From Content Safety Studio, you use the Safety metaprompt feature to run the tests Does this meet the requirement?

• A.Yes
• B.No

You are developing a solution to generate a word cloud based on the reviews of a company's products.
Which Text Analytics REST API endpoint should you use?

• A.keyPhrases
• B.entities/recognition/general
• C.languages
• D.sentiment