H13-311_V3.5 · Question #325
Huawei Machine learning Service MLS MLS is a one-stop platform that supports the entire process of data analysis. Which of the following is not a feature of MLS?
The correct answer is D. Support for the R language but does not support the Python language. Option D is correct because Huawei MLS actually supports Python (a primary language for machine learning workloads) and does not exclusively support R. Claiming Python is unsupported directly contradicts MLS's design as a modern, developer-friendly ML platform. Why the…
Question
Huawei Machine learning Service MLS MLS is a one-stop platform that supports the entire process of data analysis. Which of the following is not a feature of MLS?
Options
- AA rich library of machine learning algorithms.
- Bmachine learning program is intuitive and easy to use.
- CDistributed and scalable big data computing engine.
- DSupport for the R language but does not support the Python language
How the community answered
(41 responses)- A7% (3)
- B2% (1)
- C15% (6)
- D76% (31)
Explanation
Option D is correct because Huawei MLS actually supports Python (a primary language for machine learning workloads) and does not exclusively support R. Claiming Python is unsupported directly contradicts MLS's design as a modern, developer-friendly ML platform.
Why the distractors are wrong:
- A is a genuine feature - MLS provides a rich built-in algorithm library covering classification, regression, clustering, and more, so it cannot be "not a feature."
- B is a genuine feature - MLS offers a visual, drag-and-drop workflow interface specifically designed to make ML intuitive for both beginners and experienced practitioners.
- C is a genuine feature - MLS is built on a distributed computing engine (leveraging big data infrastructure) to handle large-scale, scalable workloads.
Memory tip: Think of the "odd one out" by asking what a serious ML platform would never do - excluding Python (the world's most popular ML language) while keeping only R would be a self-defeating choice. Any answer that describes an implausible limitation on a major cloud ML platform is almost always the correct pick for "which is NOT a feature."
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