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

1z0-1096-22 pass collection

Exam Code: 1z0-1096-22

Exam Name: Oracle Machine Learning using Autonomous Database 2022 Specialist

Updated: Aug 10, 2026

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Oracle 1z0-1096-22 Exam Syllabus Topics:

SectionObjectives
Model Deployment and Management- Deploying machine learning models in Oracle Autonomous Database
- Model lifecycle management and monitoring
Model Building and Evaluation- Applying machine learning algorithms in Autonomous Database
- Model evaluation and performance metrics
Oracle Machine Learning Notebooks- SQL and Python integration in OML
- Using OML Notebooks for data science workflows
Introduction to Oracle Machine Learning and Autonomous Database- Machine learning capabilities in Autonomous Database
- Oracle Autonomous Database architecture overview
Data Preparation and Exploration- Data loading and transformation using SQL and Oracle tools
- Feature selection and data preprocessing techniques

Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. Which three services can be used to access Oracle Machine Learning Notebooks? (Choose three.)

A) Autonomous JSON Database
B) Autonomous Data Warehouse
C) Autonomous Dedicated Infrastructure
D) Oracle Application Express
E) Autonomous Transaction Processing


2. What is the correct sequence of creating items in Oracle Machine Learning (OML) Notebooks when setting up a new Autonomous Database instance?

A) Job, Project, Workspace, Notebook
B) Workspace, OML User, Notebook, Jobs
C) OML User, Notebook, Job
D) Notebook, Job, Project, OML User


3. To navigate to a specific notebook provided by another user, which is the correct workflow?

A) Select workspace > Select project > List notebooks > Open notebook
B) Change user > Open notebook > Create project
C) Create user > Change workspace > Open notebook
D) Change project > Change workspace > Open notebook


4. You are tasked with building a predictive model that can estimate the price of houses, based on attributes like number of rooms, square-footage (size), location, neighborhood attributes, year built among others.
Which three algorithms can you use to produce such a model with Oracle Machine Learning?

A) Support Vector Machine (Regression)
B) Explicit Semantic Analysis
C) Generalized Linear Model (Classification)
D) One-Class Support Vector Machine
E) Generalized Linear Model (Regression)
F) Neural Networks (Regression)


5. Which type of user has access to the Oracle Machine Learning User Management interface?

A) Administrator
B) Developer
C) Guest
D) Manager


Solutions:

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

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