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 1–10 of 147

Q1

Which service is primarily used for building chatbots in Azure?

  • A Azure Bot Service
  • B Azure AI Planner
  • C Azure Cognitive Services
  • D Azure Data Factory
Explanation Azure Bot Service is specifically designed for chatbot development, while the others do not focus on this functionality.
Q2

A company needs to identify whether images contain specific features. Which Azure AI service should they implement?

  • A Azure Machine Learning
  • B Azure Cognitive Services Vision
  • C Azure Data Lake
  • D Azure Notification Hubs
Explanation Azure Cognitive Services Vision analyzes images to identify features, unlike the other services that don’t perform image analysis.
Q3

You are configuring a model with imbalanced training data. What should you consider doing?

  • A Increase minor class data
  • B Ignore the imbalance
  • C Use a simpler model
  • D Decrease major class data
Explanation Increasing the minor class data helps balance it, while the other options could lead to poor modeling performance.
Q4

Which Azure service is specifically designed for building conversational agents?

  • A Azure Bot Service
  • B Azure Functions
  • C Azure Logic Apps
  • D Azure Data Lake
Explanation Azure Bot Service supports building conversational agents; Functions and Logic Apps serve different purposes, while Data Lake focuses on storage.
Q5

A company needs to recognize sentiment in customer feedback. Which Azure service should they use?

  • A Azure Cognitive Services Text Analytics
  • B Azure Machine Learning Studio
  • C Azure Logic Apps
  • D Azure Databricks
Explanation Azure Cognitive Services Text Analytics specializes in sentiment analysis, whereas the others do not focus on this task specifically.
Q6

You are configuring an Azure Synapse Analytics workspace. What happens when you set up a dedicated SQL pool?

  • A In-memory data processing is enabled.
  • B Serverless architecture is activated.
  • C You allocate resources for large workloads.
  • D Active Directory Integration is mandatory.
Explanation A dedicated SQL pool allocates resources for executing large-scale queries; the other options pertain to different functionalities or services.
Q7

Which Azure service is used for machine learning model deployment?

  • A Azure Machine Learning
  • B Azure Functions
  • C Azure Logic Apps
  • D Azure DevOps
Explanation Azure Machine Learning is designed specifically for model deployment; others serve different functions.
Q8

A company needs to identify fraud patterns in transactions. Which tool can provide real-time insights?

  • A Azure Stream Analytics
  • B Azure Table Storage
  • C Azure Blob Storage
  • D Azure Kubernetes Service
Explanation Azure Stream Analytics processes real-time data, while others focus on storage or container orchestration.
Q9

What happens when you deploy a machine learning model without proper monitoring in Azure?

  • A Model performs optimally with no issues
  • B You may miss performance degradation
  • C Costs will automatically decrease
  • D Production will crash immediately
Explanation Without monitoring, performance issues may go unnoticed, causing potential inefficiencies.
Q10

Which Azure service is primarily used for building machine learning models?

  • A Azure Machine Learning
  • B Azure SQL Database
  • C Azure Functions
  • D Azure Blob Storage
Explanation Azure Machine Learning is designed for model building, while the other options serve different purposes.