Practice Free AI-200 Exam Online Questions
Your team is deploying a custom skill in an Azure AI Search enrichment pipeline to call an external ML model. The custom skill endpoint experiences intermittent timeouts.
Which configurations address reliability?
- A . Use Azure Functions with consumption plan for auto-scaling
- B . Configure the skillset with a batch size of 1
- C . Implement retry logic in the custom skill web API
- D . Enable error handling with defaultToOriginalFieldValues
- E . Set timeout property on the custom skill definition
An organization uses Azure AI Translator for document translation. They need to translate technical documents while preserving custom terminology (e.g., product names should not be translated).
Which features enable this?
- A . Azure AI Language entity recognition to pre-identify terms
- B . Neural Machine Translation with no-translate tags in source text
- C . Custom Translator with a custom model trained on domain-specific data
- D . Glossary (custom terminology) feature in Azure AI Translator
- E . Document Translation API with glossary file attachment
You are designing a high-throughput search engine for a real estate platform using Azure AI Search. The platform needs to support semantic queries (e.g., ‘family-friendly home close to parks’) along with precise geospatial queries (e.g., ‘within 5 miles of a specific latitude/longitude’). To provide optimal relevance, you decide to leverage hybrid search.
Which two steps must you take to build this index? (Select TWO)
- A . Generate vector embeddings for the text descriptions using an embedding model and store them in a Collection (Edm.Single) field in the index.
- B . Store the geospatial coordinates as an encrypted string array using an Azure Key Vault skill.
- C . Ensure the location field is defined with the Edm.GeographyPoint data type to support geospatial filtering.
- D . Disable the keyword text field indexing to force all searches through the vector channel only.
- E . Use Azure AI Video Indexer to translate geographic coordinates into text descriptions.
You are building an AI agent that calls a ‘Tool’ to get the current weather. The tool’s API is protected by an OAuth2 token.
Where is the most secure place to store the ‘Client Secret’ for this tool?
- A . Inside the Python script
- B . In a local .env file on the server
- C . In Azure Key Vault
- D . In a public GitHub repository
You are using Prompt Flow in Azure AI Studio to build an LLM application.
Which node types can be included in a Prompt Flow flow?
- A . LLM node for model calls
- B . Prompt node for template processing
- C . Conditional branching node
- D . Python node for custom code
- E . Tool node for Azure AI service calls
You are deploying a containerized AI model to Azure Container Instances (ACI). You need to allow the container to securely access an Azure Key Vault to retrieve API keys without storing credentials in the image.
What should you configure?
- A . A service principal in the Dockerfile
- B . A Managed Identity for the ACI resource
- C . An Azure Storage Shared Access Signature (SAS)
- D . A client secret in the environment variables
You are deploying Azure AI Content Safety in a social media platform. You need to moderate both text posts and images. For images, you need to detect sexual content and violent content. For text, you need hate speech and self-harm.
Which API calls are needed?
- A . POST /contentsafety/text: analyze with categories [Hate, SelfHarm]
- B . Use Azure AI Vision moderate API instead
- C . POST /contentsafety/multimodal: analyze for combined text and image
- D . POST /contentsafety/image: analyze with categories [Sexual, Violence]
- E . POST /contentsafety/text: analyze with categories [Sexual, Violence] for images
You need to use Azure AI Vision to analyze a video stream for safety compliance (workers wearing hard hats).
Which Azure AI Vision feature is appropriate for video analysis?
- A . Spatial Analysis container with a person and safety zone operation
- B . Azure AI Custom Vision with video input
- C . Azure AI Video Indexer with custom model for PPE detection
- D . Image Analysis API called on video frames extracted at intervals
- E . Video Indexer for safety compliance analysis
You need to set up monitoring for an Azure OpenAI deployment to alert when token consumption exceeds 80% of the quota.
Which Azure services and metrics should be used?
- A . Azure Monitor metrics: TokenTransaction count
- B . Azure Application Insights custom metrics
- C . Azure Cost Management budget alerts
- D . Azure Monitor Alert rule on the TokenTransaction metric
- E . Log Analytics workspace query on DiagnosticSettings logs
You need to deploy Azure AI services to an Azure Arc-enabled Kubernetes cluster.
Which Azure AI service supports this disconnected/edge deployment model?
- A . Azure AI Vision OCR containers
- B . Azure AI Speech containers
- C . Azure AI Language containers
- D . Azure OpenAI Service
- E . Azure AI Translator containers