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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. Which output formats are supported by the SET SQLFORMAT command? (Choose three.)

A) CSV
B) TXT
C) JSON
D) HTML

2. Which two statements are true about OML AutoML UI? (Choose two.)

A) When creating a notebook from an experiment-produced Model, the top algorithm in the Leader Board is automatically selected and converted to OML4Py code.
B) Automates key modeling steps such as algorithm selection, feature selection, and hy-perparameter tuning.
C) An Experiment returns a single machine learning model, on successful execution Pro-vides Classification Prediction Type for numeric data and Regression Prediction Type for non-numeric data.
D) An Experiment can be run with two possible options: Faster Results or Better Accura-cy.

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

4. When managing Machine Learning models using the OML AutoML UI, what are the three actions that can be performed on Oracle Machine Learning (OML) models from within OML AutoML UI?

A) Create a notebook with auto-generated OML4Py code from an OML in-database model to allow for further model tweaking and batch scoring.
B) Review the model statistics associated with the experiment of an OML in-database model.
C) Review the model statistics associated with the experiment of an ONNX-format image classification model.
D) Deploy an OML in-database model to a REST endpoint.
E) Review the model statistics associated with the experiment of an ONNX-format (Open Neural Networks Exchange) model.

5. Which is NOT a supervised learning algorithm?

A) Support Vector Machines
B) Stepwise Linear Regression
C) Naïve Bayes
D) Hierarchical K-Means
E) Decision Tree

Solutions: