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 71–80 of 147

Q71

You are configuring Azure Machine Learning and want to improve model explainability. Which feature should you enable?

  • A InterpretML
  • B AutoML
  • C Hyperparameter Tuning
  • D Batch Inference
Explanation InterpretML provides explainability capabilities, whereas other options enhance performance or deployment.
Q72

What happens when you exceed the rate limit of an Azure API Management instance?

  • A Requests are queued until processed
  • B Requests are dropped without a response
  • C A notification is sent to the user
  • D Service automatically scales up
Explanation Requests exceeding the rate limit are dropped; queuing or notifications do not occur automatically.
Q73

Which Azure service provides a graphical interface for building machine learning models?

  • A Azure Machine Learning Studio
  • B Azure Logic Apps
  • C Azure Functions
  • D Azure Data Factory
Explanation Azure Machine Learning Studio offers a visual workspace for model development, while others focus on orchestration or data processing.
Q74

A company needs to analyze real-time data from IoT devices. Which Azure service should they use?

  • A Azure Event Hubs
  • B Azure Blob Storage
  • C Azure Cosmos DB
  • D Azure SQL Database
Explanation Azure Event Hubs is designed for real-time data ingestion, while others are more suitable for other types of data management and storage.
Q75

You are configuring a custom vision model in Azure. What happens when you upload insufficient training data?

  • A Model training fails completely
  • B Model yields low accuracy
  • C Model is automatically optimized
  • D Model does not require training data
Explanation While the training might succeed, insufficient data often results in poor model performance, while the other options are not accurate regarding model behavior.
Q76

Which service provides a platform for building conversational agents?

  • A Azure Cognitive Search
  • B Azure Bot Services
  • C Azure Machine Learning
  • D Azure Functions
Explanation Azure Bot Services specifically facilitates the creation of chatbots and conversational agents, while the others serve different purposes.
Q77

A company needs to analyze large volumes of text data in real-time. Which service should they use?

  • A Azure Logic Apps
  • B Azure Data Lake Storage
  • C Azure Stream Analytics
  • D Azure Data Factory
Explanation Azure Stream Analytics is designed for real-time analytics on streaming data, unlike the other options.
Q78

What happens when you enable 'Soft Delete' on Azure Blob Storage?

  • A Data is permanently deleted immediately.
  • B Data recovery is impossible after deletion.
  • C Deleted blobs can be recovered within a period.
  • D Storage costs increase for soft deleted blobs.
Explanation Soft Delete allows recovery of deleted blobs for a specified retention period, ensuring data is not permanently lost.
Q79

Which Azure service is best for natural language processing tasks?

  • A Azure Language Understanding
  • B Azure SQL Database
  • C Azure Blob Storage
  • D Azure DevOps
Explanation Azure Language Understanding specializes in NLP, while the others serve unrelated functionalities.
Q80

A company needs to implement a model versioning system for their AI models. Which Azure feature should they utilize?

  • A Azure Container Instances
  • B Azure Machine Learning Model Registry
  • C Azure Functions
  • D Azure Data Factory
Explanation Azure Machine Learning Model Registry supports versioning, while the others do not focus on model management.