100-140 Question 317
Single answerA company is planning to migrate its on-premises applications to the cloud. Their primary requirement is to utilize pre-configured machine learning services for predictive analytics. Which cloud provider would be the best fit for this requirement?
- A
Amazon Web Services (AWS) with its SageMaker service
- B
Microsoft Azure with its Azure DevOps service
- C
Google Cloud Platform (GCP) with its BigQuery service
- D
Microsoft Azure with its Azure Machine Learning service
Show answer and explanation
Correct answer: A
Explanation
AWS SageMaker is a highly regarded service specifically designed for machine learning tasks, including predictive analytics. Among the options provided, it is the most suitable cloud service for the company's requirement to utilize pre-configured machine learning services for predictive analytics. Other options either do not focus on machine learning or are less optimized for this specific use case.
- A. Correct.
AWS SageMaker is a fully managed machine learning service designed specifically for building, training, and deploying machine learning models, making it an excellent choice for predictive analytics.
- B. Incorrect.
Azure DevOps is a service focused on development and collaboration tools for CI/CD, not directly related to machine learning or predictive analytics.
- C. Incorrect.
BigQuery is a fully managed data warehouse and analytics tool but is not specifically tailored for predictive analytics or machine learning.
- D. Incorrect.
While Azure Machine Learning is a strong contender, AWS SageMaker is generally more widely recognized for its integration and ease of use in machine learning workflows, especially for predictive analytics.