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

1z0-1096-22
  • Exam Code: 1z0-1096-22
  • Exam Name: Oracle Machine Learning using Autonomous Database 2022 Specialist
  • Updated: Sep 20, 2026
  • Q & A: 75 Questions and Answers

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About Oracle 1z0-1096-22 Exam

Trust the authors, not the ads. The Oracle Machine Learning using Autonomous Database 2022 Specialist questions at Exam4Tests are codified by Oracle-qualified experts — 75 practice questions built to simulate the actual test.

Oracle 1z0-1096-22 Exam Overview:

Certification Vendor:Oracle
Exam Name:Oracle Machine Learning using Autonomous Database 2022 Specialist
Exam Number:1Z0-1096-22
Exam Format:Multiple Select, Multiple Choice
Exam Duration:120 minutes
Real Exam Qty:72
Certificate Validity Period:2 years / Until version retirement
Related Certifications:Oracle Autonomous Database Cloud 2022 Specialist
Passing Score:65%
Exam Price:USD 245
Available Languages:English
Recommended Training:Using Oracle Machine Learning with Autonomous Database (2022)
Oracle Autonomous Database Learning Subscription
Exam Registration:Oracle University Exam Page
Pearson VUE Registration
Sample Questions:Free Download Latest 1z0-1096-22 Exam Tests
Exam Way:Online proctored or Onsite at Pearson VUE test centers
Pre Condition:No formal prerequisites; hands-on experience with Autonomous Database and basic knowledge of machine learning recommended
Official Syllabus URL:https://education.oracle.com/oracle-machine-learning-using-autonomous-database-2022-specialist/pexam_1Z0-1096-22

Oracle 1z0-1096-22 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Oracle Machine Learning Fundamentals15%- Machine learning concepts and paradigms
  • 1. Supervised, unsupervised, and semi-supervised learning
  • 2. In-database machine learning architecture
  • 3. OML components and integration with Autonomous Database
Topic 2: Building and Evaluating Models25%- Model development and validation
  • 1. Model tuning and optimization
  • 2. Model performance metrics and evaluation
  • 3. OML4SQL, OML4Py, and OML4R usage
  • 4. Classification, regression, clustering, association rules
Topic 3: AutoML and Model Management15%- Automated machine learning
  • 1. Model registration, versioning, and deployment
  • 2. Algorithm recommendation and model generation
  • 3. AutoML experiments and feature selection
Topic 4: OML Notebooks and Environment15%- Workspace and notebook management
  • 1. SQL, PL/SQL, Python, and R notebook execution
  • 2. Sharing, collaboration, and job scheduling
  • 3. Creating projects, workspaces, and notebooks
Topic 5: Administration and Security10%- Access control and privileges
  • 1. Monitoring and maintenance
  • 2. Security policies and data access permissions
  • 3. User and role management for OML
Topic 6: Data Preparation and Exploration20%- Data access and transformation
  • 1. Handling missing values and outliers
  • 2. Data profiling and visualization
  • 3. Feature engineering and normalization
  • 4. Using OML4SQL and OML Notebooks for data exploration

Oracle Machine Learning using Autonomous Database 2022 Specialist Exam FAQ — Practical Answers

Yes:

Build your knowledge base with official training, then go over the 75 practice questions for the Oracle Machine Learning using Autonomous Database 2022 Specialist — that combination is the actual plan.

No formal prerequisites; hands-on experience with Autonomous Database and basic knowledge of machine learning recommended Rules on eligibility change occasionally, so confirm the current requirements on the official page (official 1z0-1096-22 exam page) before you pay the fee.

120 minutes for 72 questions. Adapt to the clock now: the Exam4Tests SOFT and APP versions let you control test time and track scores, so the real 1z0-1096-22 exam feels like a rehearsal you've already done.

Delivery: payment triggers an automatic email within a minute — download immediately, install without limits, and if nothing arrives within 2 hours our round-the-clock support helps (check spam first). Refund: unlike vendors with slow, cumbersome processes, we keep it clear — take the corresponding 1z0-1096-22 exam within 60 days of purchase, and if you fail, send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam; the full refund is processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.

Yes — three different free Oracle Machine Learning using Autonomous Database 2022 Specialist demos are available to download. Do the demo test first to inspect the value, then decide. Purchases include 365 days of free updates, renewable at 50% off.

The Oracle Machine Learning using Autonomous Database 2022 Specialist blueprint covers 6 domains — including Oracle Machine Learning Fundamentals (15%), AutoML and Model Management (15%), OML Notebooks and Environment (15%). Weightings point you to the heavy hitters; schedule your review accordingly. The complete outline above lists every subtopic.

Registration goes through the vendor's official channels:

The Oracle Machine Learning using Autonomous Database 2022 Specialist is delivered Online proctored or Onsite at Pearson VUE test centers — select whichever suits you when booking.

USD 245 per attempt, with 65% as the passing score. Since a failed attempt bills again, rehearse with the 75 practice questions from Exam4Tests until your tracked scores clear the mark consistently.

The Oracle Machine Learning using Autonomous Database 2022 Specialist is Oracle's official exam for the Oracle Machine Learning using Autonomous Database 2022 Specialist credential (Specialist level). Before anything else, verify the exam code and name match what you need — then build a plan around the official objectives. Related credentials include Oracle Autonomous Database Cloud 2022 Specialist.

Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

Question #1

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

  • A. Workspace, OML User, Notebook, Jobs
  • B. Notebook, Job, Project, OML User
  • C. Job, Project, Workspace, Notebook
  • D. OML User, Notebook, Job
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #2

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 new workspaces.
  • B. View and run jobs of shared notebooks.
  • C. View, create, run, and update any notebook in the workspace.
  • D. Create jobs for shared notebooks.
  • E. Create new projects.
Reveal Solution  Discussion  0

Correct Answer: A,E  🗳️

Question #3

You have created an Oracle Machine Learning notebook and want to share it with another collaborator. However, you do not want to provide the ability to run or modify the notebook in your workspace.
Which three options can be used to do this?

  • A. Share the notebook as a Shared Oracle Machine Learning Template.
  • B. Provide the user Viewer permission to your workspace.
  • C. Provide the user Developer permission to your workspace.
  • D. Export the notebook and import it into the other user's project.
Reveal Solution  Discussion  0

Correct Answer: A,B,C  🗳️

Question #4

Which three are supervised machine learning algorithms?

  • A. Support Vector Machines
  • B. Linear Regression
  • C. Random Forest
  • D. Association rule
  • E. K-means clustering
Reveal Solution  Discussion  0

Correct Answer: A,B,C  🗳️

Question #5

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

  • A. Evaluate the model, prepare the data, build the model, and deploy the model.
  • B. Build the model, prepare the data, evaluate the model, and deploy the model.
  • C. Get predictions from the model, prepare the data, build the model, and deploy the model
  • D. Prepare the data, build the model, evaluate the model, and deploy the model.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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