When working with the Pandas API on Spark, which configuration option should you use to limit the number of rows displayed in the output?
Real Exam
A
plotting.max_rows_
2.0%
B
compute.default_index_cache
2.0%
C
display.max_rows_
94.0%
D
compute.ops_on_diff_frames_
2.0%
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When working with the Pandas API on Spark, which configuration option should you use to limit the number of rows displayed in the output? | Databricks Certified Machine Learning - Associate Quiz - LeetQuiz
