Microsoft Azure

Microsoft Azure AI Fundamentals

AI-900
Popular

The AI-900 exam tests your foundational knowledge of AI concepts and Azure AI services.

147 questions 0 views Free
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Questions 111–120 of 147

Q111

What happens when you increase the number of virtual machines in an Azure scale set?

  • A Load balancing improves
  • B Cost decreases
  • C Performance always improves
  • D Availability decreases
Explanation Increasing VMs in a scale set enhances load balancing; other options are incorrect.
Q112

Which Azure service is used for building conversational AI experiences?

  • A Azure Bot Services
  • B Azure Functions
  • C Azure Storage
  • D Azure Virtual Machines
Explanation Azure Bot Services allows developers to create and manage bots, unlike the others which serve different purposes.
Q113

You are configuring a recommendation model for a retail application using Azure Machine Learning. What should you focus on to improve accuracy?

  • A Data type
  • B Model complexity
  • C Data quality
  • D Compute options
Explanation Data quality is crucial for accurate models, whereas the other options may not directly impact accuracy.
Q114

What happens when an AI model is overfitted?

  • A It predicts new data accurately
  • B It memorizes training data too well
  • C It needs more features
  • D It generalizes well on unseen data
Explanation Overfitting occurs when a model memorizes the training data, leading to poor generalization.
Q115

Which Azure service is used for computer vision tasks?

  • A Azure Cognitive Services
  • B Azure DevOps
  • C Azure Functions
  • D Azure Stream Analytics
Explanation Azure Cognitive Services provides APIs for computer vision tasks, while others serve different purposes.
Q116

A company needs to deploy AI models without managing the infrastructure. Which Azure service should they use?

  • A Azure Machine Learning
  • B Azure Kubernetes Service
  • C Azure Portal
  • D Azure DevTest Labs
Explanation Azure Machine Learning offers managed services for model deployment, unlike the others.
Q117

What happens when a neural network model underfits the training data?

  • A It learns the data too well.
  • B It fails to capture patterns.
  • C It maximizes accuracy on new data.
  • D It has high variance.
Explanation Underfitting indicates the model has not learned enough, leading to poor pattern recognition.
Q118

Which Azure service provides a framework for building conversational AI?

  • A Azure Bot Service
  • B Azure Logic Apps
  • C Azure Functions
  • D Azure Data Lake
Explanation Azure Bot Service enables the development of chatbots, while others serve different purposes like automation or data storage.
Q119

A company needs to analyze large sets of data quickly and efficiently. Which Azure service should they use?

  • A Azure Blob Storage
  • B Azure Kubernetes Service
  • C Azure Synapse Analytics
  • D Azure Active Directory
Explanation Azure Synapse Analytics is designed for high-performance data analysis, unlike the other services.
Q120

What happens when you integrate Azure Machine Learning with Azure DevOps?

  • A Enhanced collaboration on machine learning projects
  • B Permanent data storage in Azure
  • C Reduced cost of Azure services
  • D Automatic model deployment without validation
Explanation Integration improves project collaboration and streamline CI/CD processes, while other options do not directly relate to the benefits of integration.