The correct answer is Amazon SageMaker. It is designed as an end-to-end machine learning service, which facilitates the entire process from model building to deployment. Amazon Lex, while it is a service that uses machine learning, it is specifically for building conversational interfaces using voice and text. Amazon S3 is a storage service, not a machine learning service. AWS Glue is a data integration service used for preparing and loading data for analytics, not for building machine learning models.
Learn More
AI Generated Content may display inaccurate information, always double-check anything important.
What are the main features of Amazon SageMaker?
How does Amazon Lex relate to machine learning?
What roles do Amazon S3 and AWS Glue play in machine learning workflows?
This question's topic:
AWS Cloud Practitioner CLF-C02 /
Cloud Technology and Services
Report Issue
Oh snap!
Loading...
Loading...
Join premium for unlimited access and more features
Monthly
$14.99/mo
billed monthly (cancel any time)
3 Month Pass
$34.99 $17.49
One time purchase Does not auto-renew.
$34.99 after promotion ends
Save $27!
MOST POPULAR
Annual Pass
$59.99 $29.99
One time purchase Does not auto-renew.
$59.99 after promotion ends
Save $150!
BEST DEAL
Lifetime Pass
$119.99
One time purchase Good for life.
Save $240!
What you get:
Unlimited Questions
Major Voucher Discounts
Advanced PBQs
Zero ads
Track scores
Report Cards
Free tier is limited to 20 questions and limited Performance-based Questions (PBQs) .