- A
Amazon Polly
Why wrong: Polly converts text to speech (TTS) — it's the reverse of what's needed. Transcribe converts speech to text (ASR).
- B
Amazon Lex
Why wrong: Lex provides ASR as part of its chatbot functionality but is designed for building conversational UIs, not for batch transcription of call recordings.
- C
Amazon Transcribe
Transcribe is purpose-built for converting speech recordings to text, supporting batch and real-time transcription with speaker diarization and custom vocabulary.
- D
Amazon Comprehend
Why wrong: Comprehend analyzes text for insights — it processes text input, not audio recordings.
Question 581 of 1,024
CLF-C02 Cloud Technology and Services Practice Question
This CLF-C02 practice question tests your understanding of cloud technology and services. 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.
Which AWS service enables automatic speech recognition (ASR) to convert audio from customer service calls into text for further analysis?
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 Transcribe
Amazon Transcribe is the correct AWS service for automatic speech recognition (ASR) because it is specifically designed to convert audio speech into text. It uses deep learning-based ASR models to process audio files or real-time streams, making it ideal for transcribing customer service call recordings for downstream analysis.
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.
- ✗
Amazon Polly
Why it's wrong here
Polly converts text to speech (TTS) — it's the reverse of what's needed. Transcribe converts speech to text (ASR).
- ✗
Amazon Lex
Why it's wrong here
Lex provides ASR as part of its chatbot functionality but is designed for building conversational UIs, not for batch transcription of call recordings.
- ✓
Amazon Transcribe
Why this is correct
Transcribe is purpose-built for converting speech recordings to text, supporting batch and real-time transcription with speaker diarization and custom vocabulary.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Comprehend
Why it's wrong here
Comprehend analyzes text for insights — it processes text input, not audio recordings.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Amazon Lex (which also uses ASR) with Amazon Transcribe, but Lex's ASR is used for real-time conversational interactions, not for batch transcription of recorded audio for analysis.
Detailed technical explanation
How to think about this question
Amazon Transcribe uses a deep neural network (DNN) model trained on large datasets to perform ASR, supporting multiple languages and custom vocabularies for domain-specific terms (e.g., medical or legal jargon). It can handle both batch transcription of pre-recorded audio and real-time streaming via WebSockets, outputting results with timestamps and confidence scores. A subtle behavior is that it can automatically redact personally identifiable information (PII) from the transcribed text, which is critical for compliance in customer service call analysis.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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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Cloud Technology and Services — study guide chapter
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FAQ
Questions learners often ask
What does this CLF-C02 question test?
Cloud Technology and Services — This question tests Cloud Technology and Services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Transcribe — Amazon Transcribe is the correct AWS service for automatic speech recognition (ASR) because it is specifically designed to convert audio speech into text. It uses deep learning-based ASR models to process audio files or real-time streams, making it ideal for transcribing customer service call recordings for downstream analysis.
What should I do if I get this CLF-C02 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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Last reviewed: Jun 11, 2026
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.
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