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Oracle 1z0-1096-22 Exam Syllabus Topics:

Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

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

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

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

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

3. Which three Oracle Machine Learning (OML) Notebooks capabilities are enabled when an OML user is created with the oml_developer role? (Choose three.)

A) Transfer OML workspace to other users.
B) Save scripts to the Python script repository.
C) Create and execute OML Notebooks.
D) Share notebooks with other OML users.

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

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

5. You are working as an application developer using Oracle Machine Learning Notebooks and want to get your project and notebooks reviewed by a subject matter expert (SME). You granted the Developer permission to the SME on the workspace.
Which two actions can be performed by the SME?

A) Create jobs for shared notebooks.
B) View and run jobs of shared notebooks.
C) Create new workspaces.
D) Create new projects.
E) View, create, run, and update any notebook in the workspace.

Solutions: