- A
Amazon Textract
Why wrong: Textract extracts text from documents.
- B
Amazon Translate
Translate can convert reviews to a supported language for Comprehend if needed.
- C
Amazon Rekognition
Why wrong: Rekognition analyzes images and videos.
- D
Amazon Comprehend
Comprehend directly extracts key phrases and sentiment.
- E
Amazon Transcribe
Why wrong: Transcribe converts speech to text.
Question 507 of 1,000
AIF-C01 AI and ML Fundamentals Practice Question
This AIF-C01 practice question tests your understanding of ai and ml fundamentals. 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.
A company wants to extract key phrases and sentiment from customer reviews. Which TWO AWS services can be combined to accomplish this? (Select TWO.)
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 Translate
Amazon Comprehend is a natural language processing (NLP) service that can directly extract key phrases and detect sentiment from text. Amazon Translate can be used to first translate customer reviews from other languages into English, enabling Amazon Comprehend to then perform accurate key phrase extraction and sentiment analysis on the translated text.
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 Textract
Why it's wrong here
Textract extracts text from documents.
- ✓
Amazon Translate
Why this is correct
Translate can convert reviews to a supported language for Comprehend if needed.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Rekognition
Why it's wrong here
Rekognition analyzes images and videos.
- ✓
Amazon Comprehend
Why this is correct
Comprehend directly extracts key phrases and sentiment.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Transcribe
Why it's wrong here
Transcribe converts speech to text.
Common exam traps
Common exam trap: answer the scenario, not the keyword
AWS often tests the distinction between services that process raw data (Textract, Transcribe, Rekognition) versus those that analyze or understand that data (Comprehend), leading candidates to incorrectly select a data extraction service instead of an NLP analysis service.
Detailed technical explanation
How to think about this question
Amazon Comprehend uses a deep learning model based on a bidirectional LSTM (Long Short-Term Memory) architecture trained on a large corpus to identify entities, key phrases, and sentiment (positive, negative, neutral, mixed). Amazon Translate uses a neural machine translation (NMT) model that encodes source language into a context vector and decodes it into the target language, ensuring semantic preservation for downstream NLP tasks. In a real-world scenario, a global e-commerce company might use Translate to normalize multilingual reviews into English before feeding them into Comprehend for consistent sentiment aggregation across regions.
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.
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
AI and ML Fundamentals — This question tests AI and ML Fundamentals — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Translate — Amazon Comprehend is a natural language processing (NLP) service that can directly extract key phrases and detect sentiment from text. Amazon Translate can be used to first translate customer reviews from other languages into English, enabling Amazon Comprehend to then perform accurate key phrase extraction and sentiment analysis on the translated text.
What should I do if I get this AIF-C01 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.
About these practice questions
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Last reviewed: Jul 4, 2026
This AIF-C01 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 AIF-C01 exam.
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