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You are developing an application that uses the Azure Language SDK and a Microsoft Foundry resource.You need to return a list of important topics from unstructured text.Which Python method should you use?
A. client.recognize_linked_entities()
B. client.recognize_entities()
C. client.begin_extract_summary()
D. client.extract_key_phrases()
You need to build an AI solution that generates marketing email drafts based on a short description of a product and its target audience.Which AI workload should you use?
A. generative AI
B. computer vision
C. text classification
D. speech recognition
Which natural language processing feature can be used to identify the main talking points in customer feedback surveys?
A. language detection
B. translation
C. key phrase extraction
D. entity recognition
Your company has thousands of recorded customer support calls in multiple languages stored as audio files in Azure Storage.You need to generate text transcripts of all the recordings.Which Azure Speech in Foundry Tools capability should you use?
A. speech to text batch transcription
B. speech to text real-time transcription
C. text to speech
D. speech translation
Which action can be performed by using the Azure Vision in Foundry Tools service?
A. identifying breeds of animals in live video streams
B. extracting data from handwritten letters
C. extracting key phrases from documents
D. creating thumbnails for training videos
Your company wants to build a recycling machine for bottles. The recycling machine must use cameras to automatically identify bottles of the correct shape and reject all other items.Which type of Al workload should the company use?
A. knowledge mining
B. natural language processing
C. generative Al
D. computer vision
You are developing a simple application that uses the Microsoft Foundry SDK to send chat prompts to a model.Which three elements should you provide in the code to run the application? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.
A. the model deployment name
B. credentials
C. the endpoint URL
D. the task type
E. the Foundry project display name
You are developing an AI-powered customer support application.Which task is an example of the Microsoft responsible AI principle of inclusiveness?
A. Provide explanations about how predictions are generated.
B. Design the interface to support multiple languages and screen readers.
C. Evaluate model outputs across demographic groups to reduce bias.
D. Encrypt stored customer data and restrict access by using role-based controls.
You plan to create an Al application that will use Azure OpenAI in Foundry Models. The solution requires that a specific amount of throughput be allocated.Which type of deployment should you use?
A. global batch
B. data zone standard
C. provisioned
D. standard
Your company provides users with clear information about an Al system's purpose, functionality, and limitations. Which Microsoft responsible Al principle is this an example of?
A. reliability and safety
B. accountability
C. transparency
D. fairness