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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. Which two templates are supported while saving a notebook?

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

2. What is the correct sequence of function invocations of AutoML API from OML4Py to solve a business problem?

A) Model selection, Algorithm selection
B) Algorithm selection, Feature selection. Model tuning
C) Model tuning. Algorithm selection. Feature selection
D) Model selection, Algorithm selection

3. 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) Deploy an OML in-database model to a REST endpoint.
C) Review the model statistics associated with the experiment of an ONNX-format image classification model.
D) Review the model statistics associated with the experiment of an OML in-database model.
E) Review the model statistics associated with the experiment of an ONNX-format (Open Neural Networks Exchange) model.

4. Which three are unsupervised machine learning algorithms?

A) Principal Component Analysis
B) Random Forest
C) Naive Bayes
D) Logistical Regression
E) Association rule
F) K-means clustering

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

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

Solutions: