Skip to content
NCP-ADS
Data Manipulation and Software Literacy
medium
Question 5 of 38

In a RAPIDS design review, the discussion is comparing several plausible tooling choices. Which choice best applies the documented guidance for cpu fallback?

AChoose cuGraph because graph analytics is the main tool for joins, filters, and aggregations on tabular ETL data.
BChoose Triton because model serving software is the main accelerator for shuffle reduction in ETL.
CCudf.pandas automatically falls back to pandas for operations it cannot run on the GPU.
DChoose cuML because machine learning estimators are the primary tool for pandas-compatible joins and groupbys.

Educational Content — CertQnA practice questions are written against official exam objectives, covering the same domains tested on the real exam. All content is original and independent — not actual exam questions, not affiliated with any certification vendor. Learn more about our content policy

Discussion

Be the first to share your understanding of this concept

⚠️ Discussion is for concept clarification only. Do not share or request actual exam questions or answers.

Sign in to join the discussion