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Databricks Certified Machine Learning Professional · Databricks
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- Correct answer : A — Optuna defaults to the tree-structured Parzen estimator sampler, so the 40 trials are proposed adaptively based on prior results while 8 run concurrently across executors. A . Correct: Optuna studies default to the TPESampler, an adaptive Bayesian-style sampler, so trials are proposed based on the outcomes of earlier trials rather than sampled independently at random. B . Plain random search is available as an explicit sampler choice, but it is not Optuna's default; the default sampler already performs adaptive, history-informed suggestion. C . No sampler argument is required to start a study; omitting it simply causes Optuna to fall back to its default TPESampler rather than raising an error. D . Grid search is a separate, explicitly selectable Optuna sampler; the default sampler explores the continuous and categorical space adaptively rather than exhaustively enumerating a grid.