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Oracle Machine Learning using Autonomous Database 2022 Specialist : 1z0-1096-22

1z0-1096-22

Exam Code: 1z0-1096-22

Exam Name: Oracle Machine Learning using Autonomous Database 2022 Specialist

Updated: Aug 30, 2026

Q&A Number: 75 Q&As

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Oracle 1z0-1096-22 Exam Syllabus Topics:

SectionWeightObjectives
Building and Evaluating Models25%- Model development and validation
  • 1. Model tuning and optimization
  • 2. OML4SQL, OML4Py, and OML4R usage
  • 3. Model performance metrics and evaluation
  • 4. Classification, regression, clustering, association rules
Administration and Security10%- Access control and privileges
  • 1. User and role management for OML
  • 2. Monitoring and maintenance
  • 3. Security policies and data access permissions
Data Preparation and Exploration20%- Data access and transformation
  • 1. Data profiling and visualization
  • 2. Handling missing values and outliers
  • 3. Feature engineering and normalization
  • 4. Using OML4SQL and OML Notebooks for data exploration
Oracle Machine Learning Fundamentals15%- Machine learning concepts and paradigms
  • 1. OML components and integration with Autonomous Database
  • 2. In-database machine learning architecture
  • 3. Supervised, unsupervised, and semi-supervised learning
OML Notebooks and Environment15%- Workspace and notebook management
  • 1. Sharing, collaboration, and job scheduling
  • 2. SQL, PL/SQL, Python, and R notebook execution
  • 3. Creating projects, workspaces, and notebooks
AutoML and Model Management15%- Automated machine learning
  • 1. Model registration, versioning, and deployment
  • 2. AutoML experiments and feature selection
  • 3. Algorithm recommendation and model generation

Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

Question 1

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 ONNX-format (Open Neural Networks Exchange) 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 OML in-database model.


Question 2

You want to predict which customers are likely to increase spending if given an additional credit card. Your task is to build a model using demographic and aggregated credit card data for customers who have used similar cards in the past.
Which machine learning technique should you use to achieve this?

A. Regression
B. Attribute Importance
C. Feature Extraction
D. Classification


Question 3

Which step is not required to be performed by an administrator when adding a new user to Oracle Machine Learning (OML) Notebooks?

A. Issue grant commands on tables from other schemas to allow access from shared notebooks.
B. Create an OML username and password for the user in the Oracle Machine Learning User Management interface.
C. Add the user's name and email ID in the Oracle Machine Learning User Management interface.
D. Provide the user with Autonomous Database client wallet for remote credentials.


Question 4

Which category of machine learning algorithms does One-Class SVM fall under?

A. Clustering
B. Anomaly Detection
C. Regression
D. Classification


Question 5

Which two components support in-database automatic machine learning (AutoML) functionality?

A. OML4R
B. OML4Py
C. OML Services a
D. OML AutoML UI
E. Oracle Data Miner
F. OML4SQL


Solutions:

Question 1
Answer: A,D,E
Question 2
Answer: B
Question 3
Answer: D
Question 4
Answer: B
Question 5
Answer: B,D

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