Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A hospital wants to create a system that can transcribe doctor-patient conversations in real time and also extract medical conditions, medications, and dosages from the transcribed text. Which combination of Azure AI services should they use?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Distractor review
Speech to Text and Text Analytics API (standard)
The standard Text Analytics API can extract general entities like names and locations but does not have built-in medical entity recognition.
B
Best answer
Speech to Text and Text Analytics for Health
Speech to Text provides real-time transcription, and Text Analytics for Health is specifically designed to extract medical concepts from clinical text.
C
Distractor review
Translator Text and Language Understanding (LUIS)
Translator Text translates between languages, and LUIS extracts intent and entities from utterances. Neither service transcribes audio nor specializes in medical extraction.
D
Distractor review
Speaker Recognition and Question Answering
Speaker Recognition identifies who is speaking, and Question Answering provides answers from a knowledge base. They do not perform transcription or medical entity extraction.
Common exam trap
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Technical deep dive
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Related practice questions
Related AI-900 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
Question 1
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Question 2
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Question 3
A developer is using Azure OpenAI Service to generate product descriptions from technical specifications. The generated descriptions sometimes include plausible-sounding but incorrect details (hallucinations). The developer wants to ensure the model's responses are strictly based on the provided product data and does not add any external or invented information. Which approach should the developer use?
Question 4
A developer is using Azure OpenAI with GPT-4 to build a chatbot that answers legal questions based on a company's internal policy documents. The developer wants the model's responses to be maximally deterministic and factual, avoiding any creative or speculative language. Which parameter should the developer set to the lowest possible value in the API call?
Question 5
A developer is using Azure OpenAI to generate creative product descriptions. The outputs are often repetitive and lack variety. The developer wants to increase the diversity of the generated text while still keeping it coherent. Which parameter should the developer increase?
Question 6
A developer is using Azure OpenAI Service to generate product descriptions. They want the output to be highly focused and deterministic, with less randomness. Which parameter should they decrease?
FAQ
Questions learners often ask
What does this AI-900 question test?
Static NAT maps one inside address to one outside address.
What is the correct answer to this question?
The correct answer is: Speech to Text and Text Analytics for Health — The correct combination is Azure Speech to Text for real-time transcription and Azure Text Analytics for Health to extract medical entities. Speech to Text converts audio to text. Text Analytics for Health is a specialized version of the Text Analytics service that understands medical terminology and can extract conditions, medications, dosages, and other clinical information. The standard Text Analytics API does not have healthcare-specific entity recognition. Translator Text and LUIS are for translation and language understanding, not transcription or medical extraction. Speaker Recognition identifies speakers, and Question Answering provides answers from knowledge bases.
What should I do if I get this AI-900 question wrong?
Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.
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