Implement AI solutions for text and speech by using Foundry
8 practice questions under this official exam objective (AI-901), each with the answer key, an option-by-option explanation and instant feedback.
Questions under this objective
8 total · page 1 of 1Azure Speech SDK Connection Configuration
This question tests the correct Azure Speech SDK class for establishing a service connection. The correct answer is SpeechConfig, which manages authen
Azure Speech Text-to-Speech vs Translation
Distinguishes between Azure Speech Text-to-Speech synthesis and language translation capabilities. Establishes that TTS converts text to audio in the
Azure Language PII Detection for Data Masking
This question tests the capability of Azure AI Language's Personally Identifiable Information (PII) detection feature to automatically identify and ma
Azure AI Language Named Entity Recognition Hotspot
This Azure AI-901 hotspot question tests the identification of core text analysis capabilities within Azure AI services. The correct completion identi
Connecting to Azure OpenAI Model Deployment in Python
Learn how to correctly configure the Azure OpenAI client in Python by mapping the deployment name and endpoint URL to connect to a specific model inst
Azure Speech SDK: Continuous Speech Recognition Class
Learn which Python class to use for continuous speech-to-text transcription from a microphone in Microsoft Foundry. The correct answer is SpeechRecogn
Extracting Structured Information from Video using Azure Content Understanding
Learn how to extract structured information from videos using the Analyze API in Azure Content Understanding within Foundry Tools.
What Technique Identifies People and Organizations in Text
Named Entity Recognition (NER) is the text analysis technique used to automatically identify and categorize entities such as people, organizations, an