AIF-C01 · Question #9
AIF-C01 Question #9: Real Exam Question with Answer & Explanation
The correct answer is D: Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast. Amazon SageMaker Canvas is a visual, no-code machine learning interface that allows users to build machine learning models without having any coding experience or knowledge of machine learning algorithms. It enables users to analyze internal and external data, and make prediction
Question
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?
Options
- AStore the data in Amazon S3. Create ML models and demand forecast predictions by using
- BImport the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast
- CImport the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast
- DImport the data into Amazon SageMaker Canvas. Build ML models and demand forecast
Explanation
Amazon SageMaker Canvas is a visual, no-code machine learning interface that allows users to build machine learning models without having any coding experience or knowledge of machine learning algorithms. It enables users to analyze internal and external data, and make predictions using a guided interface.
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