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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. What are three key features of Oracle Machine Learning Notebooks?

A) They support integration with Oracle Data Miner-ID
B) They support SQL, PL/SQL, JavaScript, and PHP scripting languages.
C) They enable job scheduling of notebooks on a recurring schedule.
D) They enable access to in database implementation of machine learning algorithms.
E) They provide a collaborative notebook interface on Oracle Autonomous Database.

2. You have created a notebook and want to run the notebook on a periodic schedule. How should you achieve this?

A) You need to contact the database administrator to configure the notebook to run at a particular time.
B) You can create a job and schedule it to run a specific notebook.
C) You have to login as the admin user and schedule a job to run the notebook.
D) You cannot run the notebook on the scheduled time.

3. Which three tasks can be performed by an Oracle Machine Learning (OML) user with the Developer role?

A) Share notebooks.
B) Create and run OML notebooks.
C) Transfer OML workspace to other users.
D) Create and run scratchpads.
E) Edit Example templates.
F) Create other OML users.

4. An OML AutoML UI Experiment is a work unit that minimally contains the definition of which three options? (Choose three.)

A) Prediction Target
B) Parameters
C) Prediction Type
D) Algorithm
E) Data Source

5. Which three statements are true about unsupervised machine learning?

A) There is no previously known result to guide the algorithm in building the model.
B) It can be used as a preliminary step for supervised algorithms.
C) It analyzes cases where the target value is already known.
D) It uses unlabeled data.

Solutions: