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

Start Mock Test Timed · Full-length · Scored

A company needs to build an AI model that can identify the sentiment of customer feedback. Which Azure service should they use?

A Azure Bot Service
B Azure Text Analytics
C Azure Video Indexer
D Azure Machine Learning

Explanation Azure Text Analytics specifically provides sentiment analysis capabilities, whereas the others focus on different functionalities.

Q12

You are configuring an Azure Machine Learning workspace, what happens if you set the compute target to 'Standard_DS2_v2'?

A Limits model training capabilities.
B Provides GPU acceleration.
C Offers balanced CPU and memory resources.
D Disables data versioning.

Explanation The 'Standard_DS2_v2' provides a balanced configuration for CPU and memory, while others misrepresent its capabilities.

Q13

Which Azure service provides a managed environment for deploying machine learning models?

A Azure DevOps
B Azure Machine Learning
C Azure Functions
D Azure Blob Storage

Explanation Azure Machine Learning is designed specifically for managing and deploying ML models, while the others serve different purposes.

Q14

A company needs to implement a chatbot to handle customer inquiries. Which Azure service should they use for natural language understanding?

A Azure Search
B Azure Bot Service
C Azure Cognitive Services
D Azure App Service

Explanation Azure Cognitive Services provides APIs for natural language processing, unlike Azure Bot Service which is focused on the bot framework itself.

Q15

You are configuring an Azure OpenAI resource. What happens when you enable the 'Chat' feature instead of 'Completion'?

A No changes are made
B Only chat-oriented prompts are accepted
C Model output becomes unpredictable
D It optimizes for multi-turn conversations

Explanation Enabling the 'Chat' feature optimizes the model for interactive, multi-turn conversation flows, unlike 'Completion'.

Q16

Which service is best for deploying machine learning models at scale?

A Azure Machine Learning
B Azure Functions
C Azure DevOps
D Azure Logic Apps

Explanation Azure Machine Learning is specifically designed for deploying and managing machine learning models, while the others serve different purposes.

Q17

A company needs to enhance real-time decision-making with AI insights. Which Azure service should they implement?

A Azure Data Lake Storage
B Azure Cognitive Services
C Azure Stream Analytics
D Azure Storage Account

Explanation Azure Stream Analytics processes real-time data streams, making it suitable for real-time insights, unlike others which don't focus on real-time processing.

Q18

You are configuring a bot using Azure Bot Service. What happens if you do not integrate an NLP service?

A The bot will analyze sentiments.
B The bot will only perform keyword matching.
C The bot cannot connect to databases.
D The bot will crash on deployment.

Explanation Without NLP integration, the bot relies on keyword matching, lacking deeper understanding and contextual responses, while NLP enhances the bot's conversational capabilities.

Q19

Which Azure service is designed for conversational AI applications?

A Azure Bot Services
B Azure Functions
C Azure Cognitive Search
D Azure DevOps

Explanation Azure Bot Services specifically facilitates building conversational agents, unlike the others which serve different purposes.

Q20

A company needs to analyze text data in real-time for sentiment. Which Azure solution should they implement?

A Azure Stream Analytics
B Azure Blob Storage
C Azure Data Factory
D Azure Logic Apps

Explanation Azure Stream Analytics supports real-time data processing, while the others are focused on storage or orchestration.