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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. Which four actions would typically be performed during the data preparation step for analyzing data with Oracle Machine Learning?

A) numeric data normalization
B) building a machine learning model
C) data collection from various sources
D) performing feature engineering, such as creating derived variables
E) missing value replacement
F) binning of numeric data

2. Which option would you use to load data from Object Storage into an Oracle Autonomous Da-tabase?

A) Oracle SQL Developer Web
B) Expdp
C) DBMS_Cloud package
D) SQL*Loader

3. Which four statements are true about Oracle Machine Learning on Oracle Autonomous Database?

A) It provides a collaborative web-based notebook interface.
B) It is deployed with Oracle Data Miner.
C) It provides an interface to monitor a database.
D) It enables data analytics, data discovery, and data visualizations.
E) It includes parallelized in-database algorithms.
F) It provides a development environment to build models and score data.

4. Two users at different locations are collaborating on a project by editing the same notebook. Which type of notebook should they use for collaboration?

A) Example notebook
B) Public Notebook
C) Shared Notebook
D) Personal Notebook

5. When managing models using the Model Repository screen from the OML AutoML UI, what are the four operations a user can do to models and model deployments?

A) Change the deployment date of a previously deployed OML in-database model.
B) Deploy an existing Oracle Machine Learning in-database model as a REST endpoint in OML Services.
C) Change the namespace of a previously deployed OML in-database model.
D) Undeploy a previously deployed OML in-database model.
E) Delete an existing OML in-database model.
F) Change the owner of a previously deployed OML in-database model.

Solutions: