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 61–70 of 147

Q61

Which Azure service would you use for natural language understanding?

  • A Azure Natural Language Processing
  • B Azure Text Analytics
  • C Azure Bot Framework
  • D Azure Machine Learning
Explanation Azure Text Analytics specializes in natural language understanding, unlike the other options which serve different purposes.
Q62

A company needs to integrate AI capabilities into their existing application. Which should they choose?

  • A Azure AI Project System
  • B Azure OpenAI Service
  • C Azure Cognitive Services
  • D Azure Functions
Explanation Azure Cognitive Services offers numerous pre-built AI capabilities for application integration.
Q63

You are configuring an Azure Machine Learning pipeline. What happens if you set a parameter value incorrectly in the component?

  • A The pipeline still runs successfully.
  • B The pipeline fails at runtime.
  • C The parameter is ignored.
  • D The pipeline runs with default values.
Explanation Incorrect parameter values typically cause the component to fail during execution, rather than running with defaults or ignoring the errors.
Q64

Which Azure service offers natural language understanding capabilities?

  • A Azure Cognitive Services
  • B Azure Functions
  • C Azure Storage
  • D Azure Automation
Explanation Azure Cognitive Services provides natural language processing, whereas the others serve different functions.
Q65

A company needs to incorporate AI into its customer service chatbot. What should they use to enable this functionality?

  • A Azure Bot Services
  • B Azure Virtual Machines
  • C Azure Data Lake
  • D Azure Functions
Explanation Azure Bot Services is specifically designed for building chatbots, unlike the other options.
Q66

What happens when you configure Azure AI services with a limited amount of training data?

  • A Model will perform excellently
  • B Model may overfit the training data
  • C Model training will fail
  • D No impact on model performance
Explanation Limited training data can lead to overfitting, as the model may learn noise rather than general patterns.
Q67

Which service is best for creating conversational AI experiences?

  • A Azure Bot Service
  • B Azure Logic Apps
  • C Azure Functions
  • D Azure DevOps
Explanation Azure Bot Service is specifically designed for building chatbots, while others aren't focused on conversational AI.
Q68

A company needs to analyze customer sentiment from social media data. Which Azure service should they use?

  • A Azure Stream Analytics
  • B Azure Machine Learning
  • C Azure Cognitive Services
  • D Azure Data Lake Storage
Explanation Azure Cognitive Services includes a Text Analytics API for sentiment analysis, while others do not specialize in this area.
Q69

What happens when you exceed the maximum request rate in Azure Cognitive Services?

  • A Requests are queued until capacity frees up
  • B Requests will fail with an error
  • C Extra charges will apply for overage
  • D Service will automatically upgrade provisioned capacity
Explanation Exceeding the request limit results in an error response, not queuing or automatic upgrades.
Q70

Which Azure service is best for natural language processing tasks?

  • A Azure Cognitive Services
  • B Azure Blob Storage
  • C Azure Functions
  • D Azure Logic Apps
Explanation Azure Cognitive Services offers tools for natural language processing, while other options serve different purposes.