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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. Which three types of forms are available in Oracle Machine Learning Notebooks?

A) Check Box form
B) List form
C) Radio form
D) Select form
E) Text Input form

2. Which three data sources can be immediately used for model building in Oracle Machine Learning?

A) Oracle Database tables
B) Oracle Database External tables
C) JSON files
D) Oracle Database views
E) CSV files

3. 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 have to login as the admin user and schedule a job to run the notebook.
C) You cannot run the notebook on the scheduled time.
D) You can create a job and schedule it to run a specific notebook.

4. 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.

5. What is the proper workflow for analyzing data in Oracle Machine Learning?

A) Evaluate the model, prepare the data, build the model, and deploy the model.
B) Get predictions from the model, prepare the data, build the model, and deploy the model
C) Build the model, prepare the data, evaluate the model, and deploy the model.
D) Prepare the data, build the model, evaluate the model, and deploy the model.

Solutions: