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| Section | Objectives |
|---|---|
| Building and Evaluating Models | - Model Development
|
| AutoML and In-Database Machine Learning | - Automated Machine Learning
|
| Data Preparation and Exploration | - Data Analysis
|
| Administration and Security | - Administration Tasks
|
| Oracle Machine Learning Notebooks | - Notebook Development
|
| Oracle Machine Learning Fundamentals | - Machine Learning Concepts
|
| Oracle Machine Learning Environment | - Oracle Machine Learning Components
|
1. A user with Developer permission is trying to create a job on an existing notebook that is shared. However, the user is unable to do so. What is the reason?
A) The specified job already exists.
B) A developer cannot create jobs for notebooks that are shared.
C) The user requires the Create Job role.
D) The notebook contains code with syntax errors, which need to be corrected first.
2. You have created a workspace in Oracle Machine Learning Notebooks and want to share it with collaborators by granting permissions to access your workspace. You want to enable other users to run and modify your notebooks but do not want to provide the ability to schedule jobs that run your notebooks.
Which permission type should be granted to this user?
A) Developer
B) Editor
C) Manager
D) Viewer
3. Which type of machine learning algorithm is used to deal with noise in incoming data?
A) Classification
B) Clustering
C) Dimensionality Reduction
D) Regression
4. Which category of machine learning algorithms does One-Class SVM fall under?
A) Classification
B) Anomaly Detection
C) Clustering
D) Regression
5. 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) Deploy an OML in-database model to a REST endpoint.
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 (Open Neural Networks Exchange) model.
D) Review the model statistics associated with the experiment of an ONNX-format image classification model.
E) Create a notebook with auto-generated OML4Py code from an OML in-database model to allow for further model tweaking and batch scoring.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: A,B,E |
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