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 51–60 of 147

Q51

You are configuring a machine learning model using Azure ML service. What happens if you select 'AutoML'?

  • A Manual model tuning is required
  • B Two models are created automatically
  • C Best model is automatically selected
  • D Model deployment requires manual steps
Explanation 'AutoML' automatically selects the best model based on your data, while the others involve more manual intervention or processes.
Q52

Which Azure service is best suited for deploying machine learning models?

  • A Azure Machine Learning
  • B Azure DevOps
  • C Azure Functions
  • D Azure Logic Apps
Explanation Azure Machine Learning specializes in deploying ML models, while the others serve different purposes.
Q53

A company needs to monitor a chatbot's performance using real-time analytics. Which Azure feature should they implement?

  • A Azure Functions
  • B Azure Logic Apps
  • C Azure Stream Analytics
  • D Azure Data Lake
Explanation Azure Stream Analytics provides real-time analytics, unlike the other options.
Q54

You are configuring an AI model's dataset. What happens if you include biased data?

  • A Improved model accuracy
  • B Better generalization
  • C Increased risk of bias
  • D No effect on outcomes
Explanation Including biased data increases the risk of biased outcomes, negatively affecting model performance.
Q55

Which Azure service is best for implementing conversational agents?

  • A Azure Bot Services
  • B Azure IoT Hub
  • C Azure Functions
  • D Azure Stream Analytics
Explanation Azure Bot Services is designed for creating chatbots, while the others serve different purposes.
Q56

A company needs to analyze data from social media for sentiment analysis. What Azure service should they use?

  • A Azure Synapse Analytics
  • B Azure Cognitive Services
  • C Azure Data Lake Storage
  • D Azure Logic Apps
Explanation Azure Cognitive Services provides sentiment analysis APIs, unlike the other options.
Q57

What happens when you enable a model to use AutoML in Azure Machine Learning?

  • A It creates a static algorithm.
  • B It continuously updates based on new data.
  • C It automatically selects the best model.
  • D It requires manual model training.
Explanation AutoML identifies and selects the best model automatically, while others describe different model management processes.
Q58

Which Azure service is used for creating intelligent bots?

  • A Azure Bot Service
  • B Azure Functions
  • C Azure Logic Apps
  • D Azure App Service
Explanation Azure Bot Service specifically focuses on building bots, while others serve different roles in the Azure ecosystem.
Q59

A company needs to analyze text from product reviews for sentiment. Which Azure service should they use?

  • A Azure Cognitive Services - Text Analytics
  • B Azure Data Lake Storage
  • C Azure Stream Analytics
  • D Azure SQL Database
Explanation Azure Cognitive Services - Text Analytics provides specific capabilities for sentiment analysis, unlike the other options.
Q60

You are configuring an Azure Machine Learning model. What happens if you do not set a validation dataset?

  • A Model training will fail immediately
  • B Model will likely overfit to training data
  • C Model accuracy will always be high
  • D Validation metrics will be generated anyway
Explanation Not using a validation dataset increases the risk of overfitting, as the model lacks independent performance evaluation.