Prepstellar
Get the app

AIF-C01 · Practice set 9 of 10

AWS Managed AI/ML Services: 10 practice questions

10 questions · Untimed · Free

10 free AIF-C01 practice questions on AWS Managed AI/ML Services, with an explanation for every answer. Untimed. The full mock exam and the timed version are in the app.

Set 9 · AWS Managed AI/ML Services · 10 questions Read the lesson

  1. Question 1 of 10

    Which AWS service converts speech into text?

    1. AAmazon Translate
    2. BAmazon Comprehend
    3. CAmazon Transcribe
    4. DAmazon Polly
    Show the answer

    Amazon Transcribe applies automatic speech recognition to produce text from recorded or streaming audio; Amazon Polly performs the reverse transformation.

    Next → 1 / 10

  2. Question 2 of 10

    Which AWS service provides neural machine translation between languages?

    1. AAmazon Transcribe
    2. BAmazon Translate
    3. CAmazon Lex
    4. DAmazon Polly
    Show the answer

    Amazon Translate keeps the information in text form while changing its language, which separates it from speech and dialogue services.

    Next → 2 / 10

  3. Question 3 of 10

    An application must produce spoken audio from a written passage. Which AWS service provides that capability?

    1. AAmazon Translate
    2. BAmazon Polly
    3. CAmazon Lex
    4. DAmazon Transcribe
    Show the answer

    Amazon Polly synthesizes an audio stream from text and supports storing or replaying the generated speech; Transcribe reverses that direction.

    Next → 3 / 10

  4. Question 4 of 10

    Which service-and-capability pairing is correct for analyzing unstructured text?

    1. AAmazon Translate analyzes language, entities, phrases, and sentiment
    2. BAmazon Polly analyzes language, entities, phrases, and sentiment
    3. CAmazon Comprehend analyzes language, entities, phrases, and sentiment
    4. DAmazon Transcribe analyzes language, entities, phrases, and sentiment
    Show the answer

    Amazon Comprehend applies NLP to unstructured text and can identify language, key phrases, entities, sentiment, and topics.

    Next → 4 / 10

  5. Question 5 of 10

    What distinguishes Amazon Lex from a standalone speech-to-text service?

    1. AIt translates documents between languages while retaining text output
    2. BIt extracts sentiment and entities from collections of unstructured text
    3. CIt recognizes intent and manages dialogue for voice or text conversations
    4. DIt builds, trains, and deploys custom ML models with managed workflows
    Show the answer

    Amazon Lex combines speech recognition with natural language understanding and dialogue management to build conversational interfaces.

    Next → 5 / 10

  6. Keep the ones you got wrong

    In the app, every question you miss comes back exactly when you’re about to forget it.

    Get the app

  7. Question 6 of 10

    Which capability identifies Amazon SageMaker AI within this service group?

    1. AManaged infrastructure and workflows to build, train, and deploy ML models
    2. BNeural machine translation for websites and large volumes of text
    3. CAutomatic speech recognition for recorded and streaming audio transcripts
    4. DSpeech synthesis that returns playable or storable audio streams
    Show the answer

    Amazon SageMaker AI covers the model lifecycle with managed infrastructure, tools, and workflows rather than offering one prebuilt language transformation.

    Next → 6 / 10

  8. Question 7 of 10

    Which comparison correctly describes the direction of two speech transformations?

    1. ATranslate maps speech to intent, while Lex maps text between languages
    2. BComprehend maps text to audio, while SageMaker AI maps audio to text
    3. CTranscribe maps speech to text, while Polly maps text to speech
    4. DTranscribe maps text to speech, while Polly maps speech to text
    Show the answer

    The input and output direction separates the dedicated speech services: Amazon Transcribe recognizes speech, while Amazon Polly synthesizes it.

    Next → 7 / 10

  9. Question 8 of 10

    A contact center must turn a live audio stream into a real-time text transcript. Which service should it use?

    1. AAmazon Transcribe, because it accepts live audio and streams transcripts
    2. BAmazon Comprehend, because it accepts live audio and streams transcripts
    3. CAmazon Polly, because it accepts live audio and streams transcripts
    4. DAmazon Translate, because it accepts live audio and streams transcripts
    Show the answer

    Amazon Transcribe directly supports live audio input and real-time transcript output, matching both the data type and latency requirement.

    Next → 8 / 10

  10. Question 9 of 10

    A company has text reviews and needs sentiment, key phrases, and named entities without translating or speaking the text. Which service fits?

    1. AAmazon Comprehend for NLP insights from unstructured text
    2. BAmazon Polly for NLP insights from unstructured text
    3. CAmazon Transcribe for NLP insights from unstructured text
    4. DAmazon Translate for NLP insights from unstructured text
    Show the answer

    Amazon Comprehend supplies the requested text-analysis outputs, including sentiment, key phrases, and entities, while leaving translation and speech transformations to other services.

    Next → 9 / 10

  11. Question 10 of 10

    A team needs a chatbot that accepts voice or text, recognizes user intent, and manages the dialogue. Which service fits?

    1. AAmazon Translate for a conversational interface with intent recognition
    2. BAmazon Polly for a conversational interface with intent recognition
    3. CAmazon Lex for a conversational interface with intent recognition
    4. DAmazon Transcribe for a conversational interface with intent recognition
    Show the answer

    Amazon Lex combines speech recognition, natural language understanding, and dialogue management for voice or text conversational interfaces.

    Next → 10 / 10

  12. You’ve finished this set

    That’s 10 questions on AWS Managed AI/ML Services. In the app the ones you miss come back exactly when you’re about to forget them.

    Back to the course Next lesson: Traditional ML vs Foundation ModelsGet the app
Keep your progress · Get the app

The whole course, on your phone

Lessons you can read, audio you can listen to on the way to work, and practice that remembers what you got wrong.

Get the app