AWS Managed AI/ML Services: 10 practice questions

Question 1 of 10

Which AWS service converts speech into text?

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

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

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

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

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

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

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

Question 8 of 10

A contact center wants an agent-assist panel that shows, while the call is still running, what the caller is saying and whether the caller sounds negative. Which combination delivers that?

1. AComprehend on the live stream, then Transcribe on the text
2. BLex on the live stream, then Polly on the sentiment result
3. CTranscribe on the live stream, then Comprehend on the text
4. DTranslate on the live stream, then Comprehend on the text

Question 9 of 10

A publisher holds product reviews written in several languages. One report must show the sentiment of every review and the review text itself readable in English. Comprehend is already in the design. What else does the pipeline need?

1. APolly, to read each review aloud before analysis
2. BTranscribe, to turn the written reviews into text
3. CSageMaker AI, to train a sentiment model from scratch
4. DTranslate, to put the review text into English first

Question 10 of 10

A company runs a voice IVR on Amazon Lex and separately needs a searchable written record of every completed call for later analysis. Which service should produce that record?

1. ALex, since it is already handling the voice conversation
2. BPolly, since it already works with the call audio
3. CTranscribe, whose output carries a timestamp per word
4. DComprehend, since the analysis happens on the text