Question 484 of 500
Fundamentals of AI and MLeasyMultiple SelectObjective-mapped

AIF-C01 Fundamentals of AI and ML Practice Question

This AIF-C01 practice question tests your understanding of fundamentals of ai and ml. 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 use AWS services to process natural language text. Which TWO AWS services provide natural language processing (NLP) capabilities? (Select TWO.)

Question 1easymulti select
Read the full NAT/PAT explanation →

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 Comprehend

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to extract insights such as entities, key phrases, sentiment, and syntax from text. Amazon Lex provides NLP capabilities through automatic speech recognition (ASR) and natural language understanding (NLU) to build conversational interfaces like chatbots.

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 Translate

    Why it's wrong here

    Translate is a translation service, but not typically categorized as an NLP service in this context.

  • Amazon Rekognition

    Why it's wrong here

    Rekognition is for image and video analysis, not NLP.

  • Amazon Comprehend

    Why this is correct

    Comprehend provides NLP features like sentiment analysis, entity recognition, and key phrase extraction.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon Polly

    Why it's wrong here

    Polly converts text to speech, not NLP.

  • Amazon Lex

    Why this is correct

    Lex uses natural language understanding to build conversational interfaces.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse text-to-speech (Polly) or translation (Translate) with NLP, but these services do not perform language understanding or analysis—they only convert or generate speech/translation without extracting meaning.

Detailed technical explanation

How to think about this question

Amazon Comprehend uses a pre-trained deep learning model to perform tasks like entity recognition (e.g., people, places, dates) and sentiment analysis on text, supporting multiple languages. Amazon Lex integrates with AWS Lambda to interpret user intent and manage dialog, relying on NLU to map utterances to intents and slots. In a real-world scenario, a customer service chatbot would use Lex for conversation flow and Comprehend to analyze customer sentiment from chat logs.

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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FAQ

Questions learners often ask

What does this AIF-C01 question test?

Fundamentals of AI and ML — This question tests Fundamentals of AI and ML — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Amazon Comprehend — Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to extract insights such as entities, key phrases, sentiment, and syntax from text. Amazon Lex provides NLP capabilities through automatic speech recognition (ASR) and natural language understanding (NLU) to build conversational interfaces like chatbots.

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.

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Last reviewed: Jun 25, 2026

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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.