Microsoft Updated AI-102 Exam Questions and Answers by sunny

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");

Speech Translation with Azure AI Speech SDK

SpeechTranslationConfig Class Reference

Microsoft References

PaaS databases reduce administrative overhead because Microsoft manages backups, patching, updates, and infrastructure.

Users always get access to the latest features without manual upgrades.

B is incorrect: Backup/restore is automated; you don’t get full manual control.

C is incorrect: In-database ML services are supported in SQL Server (on-prem / IaaS), but not natively in Azure SQL Database.

Comprehensive Detailed ExplanationYou are deploying Anomaly Detector API as a container. The key requirements are:

Prevent billing and API keys from being exposed in command-line history.

Control access to container images using Azure RBAC.

Step-by-step reasoning:

Pull the Anomaly Detector container image

Microsoft Cognitive Services (including Anomaly Detector) provides container images via Microsoft Container Registry.

You must first pull the container image locally.

Push the image to an Azure container registry (ACR)

To enforce Azure RBAC, you need to use Azure Container Registry instead of Docker Hub.

Storing in ACR ensures authentication and role-based access control to the image.

Distribute a docker run script

Instead of providing credentials directly on the command line (which risks storing API keys in shell history), best practice is to distribute a docker run script (or use environment variables / mounted files) to run the container.

This prevents exposure of sensitive information.

Run the container on local devices or on-premises datacenters

The container now runs securely, with API key and billing info injected at runtime via environment variables or mounted secrets.

Create a custom Dockerfile → Not needed, because Microsoft provides the official Anomaly Detector container image.

Build the image → Not required; again, the container is prebuilt.

Push the image to Docker Hub → Does not allow RBAC, so this would not meet the security requirement.

Incorrect Options

Correct Sequence:

Pull the Anomaly Detector container image.

Push the image to an Azure container registry.

Distribute a docker run script.

Run the container in the local or on-prem environment.

Use Cognitive Services containers

Azure Container Registry – Authentication and RBAC

Best practices for running Cognitive Services containers

Microsoft References