AIF-C01 Study Platform

Lesson 2 Quiz — Use Cases & AWS Services (3 easy + 7 hard)

10 questions.

Q1easymcq

Which AWS service converts an audio recording of a customer call into text?

Q2easymcq

Which ML technique predicts a continuous numeric value?

Q3easymcq

Which AWS service is purpose-built for a conversational chatbot without training a custom model?

Q4hardmcq

A company needs to calculate exact payroll tax withholding, guaranteed correct every time. Should they use a predictive ML model?

Q5hardmulti

Which of the following are valid reasons to prefer a traditional ML model over a foundation model?

Select all that apply.

Q6hardordering

A company records customer calls in Spanish and needs an English sentiment report. Order the AWS services in the correct pipeline sequence.

1.Amazon Comprehend (sentiment analysis)
2.Amazon Transcribe (speech → text)
3.Amazon Translate (Spanish → English)
Q7hardmatching

Match each real-world application category to its associated technique/service.

Recommendation systems
Fraud detection
Forecasting
Text-to-speech
Q8hardmcq

A bank wants to flag fraudulent transactions instantly, using a model trained on millions of transactions labeled 'fraud'/'legitimate'. Which combination of (1) technique, (2) learning type, (3) inferencing type is correct?

Q9hardmcq

A bakery wants to automate sending an identical 'Thank you' email after every order, only the name changing. Good candidate for GenAI?

Q10hardmcq

A team needs an app that flexibly answers open-ended questions by pulling from internal documents, and might switch FM providers over time. Best AWS approach?