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 91–100 of 147

Q91

Which Azure service is primarily used for building chatbots?

  • A Azure Bot Service
  • B Azure Data Factory
  • C Azure Functions
  • D Azure Logic Apps
Explanation Azure Bot Service is specifically designed for creating chatbots, while the others fulfill different roles.
Q92

A company needs to enhance model accuracy while using Azure Machine Learning. What should they make sure to validate frequently?

  • A Model hyperparameters
  • B Data cleaning processes
  • C Training data quality
  • D User interface
Explanation High-quality training data is crucial for better model accuracy, while the others impact different areas.
Q93

You are configuring a custom image classification model in Azure. What happens if your input images don’t match the expected dimensions?

  • A Model returns an error
  • B Images will automatically resize
  • C Model processes images anyway
  • D Model skips the incorrect images
Explanation The model will return an error if the input dimensions don’t match the expected size, other options misrepresent the behavior.
Q94

Which service allows for model training in Azure AI?

  • A Azure Machine Learning
  • B Azure Logic Apps
  • C Azure DevOps
  • D Azure Functions
Explanation Azure Machine Learning is specifically designed for model training. Azure Logic Apps automate workflows, Azure DevOps focuses on CI/CD, Azure Functions provide serverless compute.
Q95

A company needs to design a chatbot for customer support. Which Azure service should they use?

  • A Azure Bot Services
  • B Azure Cognitive Search
  • C Azure Virtual Machines
  • D Azure Data Factory
Explanation Azure Bot Services is tailored for chatbot development. Azure Cognitive Search indexes data, Azure Virtual Machines serves apps, Azure Data Factory integrates data.
Q96

What happens when an Azure AI model is deployed with auto-scaling enabled?

  • A Environmental costs decrease automatically
  • B Scalability adjusts based on usage
  • C Model accuracy improves with load
  • D Resources are permanently allocated
Explanation Auto-scaling adjusts resources based on demand. Option A is incorrect; cost isn't automatic, C is misleading about accuracy, D confuses temporary scaling.
Q97

Which service is used for building conversational AI experiences?

  • A Azure Bot Services
  • B Azure Data Factory
  • C Azure Cognitive Search
  • D Azure Functions
Explanation Azure Bot Services provides tools for building bots, while others are for data or computing tasks.
Q98

A company needs to automate sentiment analysis for customer feedback. Which Azure service should they utilize?

  • A Azure Text Analytics
  • B Azure Machine Learning
  • C Azure Logic Apps
  • D Azure Search
Explanation Azure Text Analytics offers pre-built models for sentiment analysis, while others are for broader purposes.
Q99

You are configuring an Azure Machine Learning workspace. What will happen if you do not set up a compute target?

  • A Workspace creation fails
  • B Models won't require compute
  • C You can still run experiments
  • D Compute is auto-provisioned
Explanation You can create a workspace without a compute target, but you cannot run experiments until you set one.
Q100

Which service provides natural language processing capabilities?

  • A Azure Text Analytics
  • B Azure Blob Storage
  • C Azure SQL Database
  • D Azure Event Hub
Explanation Azure Text Analytics offers text processing capabilities while the others do not pertain to NLU functionality.