Courseiva
Cloud Technology and ServiceseasyMultiple ChoiceObjective-mapped

CLF-C02 Cloud Technology and Services Practice Question

A company needs to convert text documents into natural-sounding speech in multiple languages for an audiobook application. Which AWS service provides this capability?

⚠ Common exam trap

Many exam-takers confuse Amazon Polly (text-to-speech) with Amazon Transcribe (speech-to-text), as both deal with speech but in opposite directions, leading candidates to mistakenly choose Transcribe when the requirement is to generate speech from 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

Amazon Polly

Amazon Polly is a managed service that turns text into lifelike speech using deep learning technologies, supporting multiple languages and voices. It is specifically designed for text-to-speech (TTS) conversion, making it the correct choice for generating natural-sounding audio for an audiobook application.

Answer analysis

Option-by-option breakdown

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

  • Amazon Transcribe

    Why it's wrong here

    Amazon Transcribe is an automatic speech recognition (ASR) service that delivers speech-to-text (STT) functionality, converting audio or video recordings into written text. It cannot synthesize speech from text; its primary purpose is to generate transcripts, captions, and searchable text from spoken content. Because document narration requires generating audio output from text input, Transcribe operates in the reverse direction and is therefore unsuitable for this use case.

  • Amazon Translate

    Why it's wrong here

    Amazon Translate is a neural machine translation service that translates text from one language to another, operating exclusively on written text inputs and outputs. It does not process audio or synthesize speech, so it cannot read a document aloud in a spoken format. While it could theoretically translate the text of a document into another language, neither the source nor the output would be audio narration, making it irrelevant to a text-to-speech scenario.

  • Amazon Polly

    Why this is correct

    Amazon Polly is AWS's fully managed text-to-speech (TTS) service that converts text into lifelike speech using advanced deep-learning models. It supports dozens of languages and many standard, neural, and generative voice styles, producing natural-sounding audio that can be saved as files (e.g., MP3, OGG) for use in document narration, podcasts, or accessibility applications. This aligns exactly with the requirement to convert textual content into spoken audio, making Polly the correct service for this scenario.

  • Amazon Lex

    Why it's wrong here

    Amazon Lex is a service for building conversational interfaces, such as chatbots and virtual assistants, using automatic speech recognition (ASR) and natural language understanding (NLU) to interpret user intents. While Lex can recognize spoken input and respond with text, it does not inherently synthesize audio output; it typically relies on a separate TTS service like Amazon Polly to convert text responses into speech. Since the use case is simply converting a whole document into narration, Lex's chatbot framework adds unwanted complexity and doesn't directly provide text-to-speech synthesis.

About these practice questions

This CLF-C02 question is part of Courseiva's 988-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This CLF-C02 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CLF-C02 exam.