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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

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

A) Get predictions from the model, prepare the data, build the model, and deploy the model
B) Evaluate 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.

2. Which three are unsupervised machine learning algorithms?

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

3. Which three actions can be performed by an Administrator in Oracle Machine Learning (OML) Notebooks?

A) Reassign workspaces to users.
B) Create, edit and delete OML users.
C) Create and run jobs.
D) Create, run and delete notebooks.
E) View notebooks.

4. In which three use cases are Oracle Machine Learning algorithms suitable?

A) Anomaly and fraud detection
B) Customer segmentation
C) Graph analytics
D) Speech recognition
E) Medical outcome analysis

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

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

Solutions: