Question 670 of 1,020

Describe features of Natural Language Processing workloads on Azure →easyMultiple ChoiceObjective-mapped

What Does Azure AI Speech Text-to-Speech (TTS) Do?

This AI-900 practice question tests your understanding of describe features of natural language processing workloads on azure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

What does Azure AI Speech service's text-to-speech (TTS) feature do?

A
Converts spoken audio into written text
Why wrong: Converting audio to text is speech-to-text — TTS does the reverse, converting text into audio.
B
Converts written text into natural-sounding spoken audio
Text-to-speech synthesizes spoken audio from text input, supporting many languages and customizable voices.
C
Identifies the language of spoken audio
Why wrong: Language identification from audio is a separate feature — TTS generates speech output from text.
D
Translates spoken words from one language to another
Why wrong: Speech translation converts spoken language — TTS only converts text to audio in the same language.

Full breakdown with real-world context →

Quick Answer

The correct answer is that Azure AI Speech’s text-to-speech (TTS) feature converts written text into natural-sounding spoken audio. This is achieved through neural voice models that synthesize human-like speech from input text, leveraging deep learning to produce intonation, rhythm, and emphasis that closely mimic a real speaker. On the AI-900 exam, this question tests your ability to distinguish TTS from other Speech service capabilities like speech-to-text (which does the reverse) or speech translation. A common trap is confusing TTS with voice recognition or translation—remember that TTS is purely about generating audio from text, not interpreting or translating it. For a quick memory tip, think “TTS = Text To Sound,” where the output is always spoken audio, never written text.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Converts written text into natural-sounding spoken audio

Azure AI Speech service's text-to-speech (TTS) feature converts written text into natural-sounding spoken audio using neural voice models. It synthesizes speech from input text, enabling applications like voice assistants, audiobooks, and accessibility tools. This is the core function of TTS, distinct from speech-to-text or translation capabilities.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Converts spoken audio into written text
Why it's wrong here
Converting audio to text is speech-to-text — TTS does the reverse, converting text into audio.
✓
Converts written text into natural-sounding spoken audio
Why this is correct
Text-to-speech synthesizes spoken audio from text input, supporting many languages and customizable voices.
Related concept
Read the scenario before looking for a memorised answer.
✗
Identifies the language of spoken audio
Why it's wrong here
Language identification from audio is a separate feature — TTS generates speech output from text.
✗
Translates spoken words from one language to another
Why it's wrong here
Speech translation converts spoken language — TTS only converts text to audio in the same language.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse text-to-speech with speech-to-text (Option A), as both involve speech and text, but the direction of conversion is opposite.

Trap categories for this question

Command / output trap
Language identification from audio is a separate feature — TTS generates speech output from text.

Detailed technical explanation

How to think about this question

Under the hood, Azure TTS uses deep neural networks (e.g., WaveNet or Tacotron-based models) to generate waveforms from phoneme sequences, with prosody and intonation controlled by SSML (Speech Synthesis Markup Language). A subtle behavior is that TTS can handle custom voice fonts trained on specific speakers, but this requires additional data and training. In a real-world scenario, a customer service bot uses TTS to read order confirmations aloud, ensuring natural pacing via SSML tags like <break> and <prosody>.

KKey Concepts to Remember

Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.

TExam Day Tips

Watch for words such as best, first, most likely and least administrative effort.
Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this AI-900 question test?

Describe features of Natural Language Processing workloads on Azure — This question tests Describe features of Natural Language Processing workloads on Azure — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Converts written text into natural-sounding spoken audio — Azure AI Speech service's text-to-speech (TTS) feature converts written text into natural-sounding spoken audio using neural voice models. It synthesizes speech from input text, enabling applications like voice assistants, audiobooks, and accessibility tools. This is the core function of TTS, distinct from speech-to-text or translation capabilities.

What should I do if I get this AI-900 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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