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Question 7 of 28

In an MLOps benchmarking session, an architect is matching a need to the right NVIDIA guidance. Which choice best applies the documented guidance for Goldilocks dataset fit?

AChoose Triton because model serving software is the main tool for graph analytics and time-series resampling.

BCuDF is a good fit for time series workloads that are not too big and not too small.

CChoose cuML because machine learning algorithms are the primary tool for loading graph edges and computing centrality.

DChoose Docker because container packaging is the main method for denoising a rolling time series.

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