Microsoft Azure

Designing and Implementing a Microsoft Azure AI Solution

AI-102
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Prepare for the AI-102 exam to validate your skills in designing and implementing AI solutions on Microsoft Azure.

147 questions 0 views Free
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Questions 121–130 of 147

Q121

Which Azure service is best for automating ML model deployment?

  • A Azure Machine Learning
  • B Azure Batch
  • C Azure Databricks
  • D Azure Functions
Explanation Azure Machine Learning specifically supports model deployment, while others serve different purposes.
Q122

A company needs to ensure data privacy in AI models. Which practice should they implement?

  • A Use standard datasets
  • B Minimize data collection
  • C Enhance model accuracy
  • D Share data with third parties
Explanation Minimizing data collection helps maintain data privacy, while other options increase privacy risks or aren’t aligned with this goal.
Q123

You are configuring Azure Cognitive Services for text analytics. What happens when input data is not in English?

  • A Service fails without alert
  • B Translation before analysis
  • C Only syntax analyzed
  • D Enhances results with translation
Explanation Azure Cognitive Services may not support non-English data properly, failing to analyze it without an alert, whereas the other options falsely imply operational scenarios.
Q124

Which Azure service can effectively index large volumes of unstructured data?

  • A Azure Cognitive Search
  • B Azure Blob Storage
  • C Azure SQL Database
  • D Azure Functions
Explanation Azure Cognitive Search is designed for indexing and querying unstructured data, whereas the others serve different purposes.
Q125

A company needs to automate model training when new data is added to Azure Blob Storage. Which service should they use?

  • A Azure Logic Apps
  • B Azure Machine Learning
  • C Azure Data Factory
  • D Azure DevOps
Explanation Azure Machine Learning provides capabilities for automating model training workflows when new data is available.
Q126

What happens when you implement Azure Managed Identity for an application?

  • A User credentials are required.
  • B Application access tokens are generated automatically.
  • C Requires manual token refresh.
  • D Access to all Azure resources granted.
Explanation Azure Managed Identity automatically manages access tokens, while the other options describe incorrect functionalities or requirements.
Q127

Which service is best for data labeling in AI projects?

  • A Azure Machine Learning
  • B Azure Databricks
  • C Azure Lambda
  • D Azure Logic Apps
Explanation Azure Machine Learning provides built-in labeling tools for datasets, unlike the other options.
Q128

A company needs to deploy a language model for a chatbot. Which should they choose for real-time inference?

  • A Azure Functions
  • B Azure Container Instances
  • C Azure Batch
  • D Azure Logic Apps
Explanation Azure Container Instances allows real-time deployment of models; the others do not handle real-time effectively.
Q129

You are configuring a model to predict customer churn. What happens when the model forecasts a high probability of churn?

  • A All customers are retained automatically
  • B Marketing is notified for intervention
  • C Sales teams are dissolved
  • D New customers are targeted instead
Explanation Notifying marketing allows proactive measures to retain customers, unlike the other options.
Q130

Which Azure service is best for building conversational agents?

  • A Azure Bot Services
  • B Azure Data Lake
  • C Azure Functions
  • D Azure Logic Apps
Explanation Azure Bot Services provides tools to build conversational agents, while others serve different purposes.