ExamTopics Logo
Mail Us[email protected]
Menu
Amazon Discussions
exam questions

Exam AWS Certified AI Practitioner AIF-C01 All Questions

View all questions & answers for the AWS Certified AI Practitioner AIF-C01 exam
Go to Exam

Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 56 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01
Question #: 56
Topic #: 1
[All AWS Certified AI Practitioner AIF-C01 Questions]

A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.
Which solution will meet these requirements?

  • A. Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.
  • B. Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
  • C. Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.
  • D. Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.
Show Suggested Answer Hide Answer
Suggested Answer: D 🗳️
by jove at Nov. 9, 2024, 10:09 p.m.
Disclaimers:
  • - ExamTopics website is not related to, affiliated with, endorsed or authorized by Amazon.
  • - Trademarks, certification & product names are used for reference only and belong to Amazon.

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
Submit Cancel
Jessiii
2 months, 3 weeks ago
Selected Answer: D
D. Amazon SageMaker Canvas: SageMaker Canvas is a no-code solution designed specifically for users who don't have deep machine learning or coding expertise. It provides an easy-to-use interface to build machine learning models, perform data analysis, and generate predictions (like demand forecasting) without writing any code. Users can simply import their data and interact with the application to select values and generate predictions.
upvoted 1 times
...
85b5b55
3 months, 1 week ago
Selected Answer: D
Amazon SageMaker Canvas supports to build and run the AI solutions without code.
upvoted 1 times
...
Moon
4 months, 1 week ago
Selected Answer: D
Amazon SageMaker Canvas is a no-code machine learning service that allows users without coding or ML expertise to build predictive models. It enables the company to import data, perform analysis, and build ML models through an easy-to-use graphical interface. This makes it ideal for businesses with limited technical expertise but a need for data-driven predictions.
upvoted 1 times
...
Blair77
5 months, 3 weeks ago
Selected Answer: D
D - SageMaker Canvas is designed for users without coding experience or deep knowledge of ML algorithms. It provides a visual interface for building ML models.
upvoted 3 times
...
jove
6 months ago
Selected Answer: D
The company does not have coding experience or knowledge of ML >> Sagemaker Canvas
upvoted 2 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel
exam
Someone Bought Contributor Access for:
SY0-701
London, 1 minute ago