1z0-1096-22 無料問題集「Oracle Machine Learning using Autonomous Database 2022 Specialist」

（A）Speech recognition

（B）Anomaly and fraud detection

（C）Customer segmentation

（D）Medical outcome analysis

（E）Graph analytics

（A）They enable job scheduling of notebooks on a recurring schedule.

（B）They provide a collaborative notebook interface on Oracle Autonomous Database.

（C）They support SQL, PL/SQL, JavaScript, and PHP scripting languages.

（D）They enable access to in database implementation of machine learning algorithms.

（E）They support integration with Oracle Data Miner-ID

（A）Shared

（B）Personal

（C）Public

（D）Example

（A）Notebooks owned by you

（B）Notebooks under Personal templates

（C）Notebooks shared with you

（D）Notebooks under Shared templates

（A）Model Selection

（B）Algorithm Selection

（C）Feature Selection

（D）Hyperparameter Tuning

（E）Adaptive Sampling

（A）Model selection, Algorithm selection

（B）Model selection, Algorithm selection

（C）Algorithm selection, Feature selection. Model tuning

（D）Model tuning. Algorithm selection. Feature selection

（A）Reinforcement Learning

（B）Semi-supervised Learning

（C）Unsupervised Learning

（D）Supervised Learning

（A）Save the notebook as a shared template.

（B）Export the notebook in . json format and have your colleague import this notebook.

（C）Save the notebook in .csv format and have your colleague import this notebook.

（D）Make the notebook public.