Exam Name: Oracle Machine Learning using Autonomous Database 2021 Specialist
Certification Provider: Oracle
Corresponding Certification: Oracle Autonomous Database
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Check Updated on: Oct 25, 2026
No. of Questions: 55 Questions & Answers with Exam Engine
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Oracle 1Z0-1096-21 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Oracle Machine Learning Tools and APIs | - OML4Py (Python integration)
|
| Topic 2: Data Preparation and Exploration | - Feature engineering
|
| Topic 3: Oracle Machine Learning Fundamentals | - Introduction to Oracle Machine Learning on Autonomous Database
|
| Topic 4: Model Development and Deployment | - Model training and evaluation
|
| Topic 5: Machine Learning Models in OML | - Supervised learning
|
1Z0-1096-21 Exam FAQs — Read Before You Register
Basic understanding of SQL, data analysis, and machine learning concepts is recommended. Eligibility details like these are worth double-checking before you register — vendors revise them periodically, and the official exam page (official 1Z0-1096-21 exam page) always has the current version.
The official Oracle Machine Learning using Autonomous Database 2021 Specialist outline has 5 domains — the biggest include Machine Learning Models in OML, Model Development and Deployment, Data Preparation and Exploration. Those weightings are your study compass: the largest domains hide the most points. See the full outline above for every subtopic.
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The Oracle Machine Learning using Autonomous Database 2021 Specialist is Oracle's official exam for the Oracle Machine Learning using Autonomous Database 2021 Specialist certification, a Specialist-level credential. Candidates take it to validate real skill — and employers read it exactly that way. It also connects to related credentials such as Oracle Cloud Data Science, Oracle Autonomous Database, Oracle Machine Learning.
Oracle Machine Learning using Autonomous Database 2021 Specialist Sample Questions:
Which feature of Oracle Machine Learning Notebooks should you use for data analysis, data discovery, data visualization, and collaboration on Oracle Autonomous Database?
- A. Workspace
- B. Job
- C. Project
- D. Notebook
Correct Answer: D 🗳️
Which two components support in-database automatic machine learning (AutoML) functionality?
- A. OML Services a
- B. OML4SQL
- C. OML AutoML UI
- D. OML4R
- E. Oracle Data Miner
- F. OML4Py
Correct Answer: C,F 🗳️
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
Correct Answer: B 🗳️
When managing models using the Model Repository screen from the OML AutoML UI, what are the four operations a user can do to models and model deployments?
- A. Deploy an existing Oracle Machine Learning in-database model as a REST endpoint in OML Services.
- B. Undeploy a previously deployed OML in-database model.
- C. Change the owner of a previously deployed OML in-database model.
- D. Delete an existing OML in-database model.
- E. Change the deployment date of a previously deployed OML in-database model.
- F. Change the namespace of a previously deployed OML in-database model.
Correct Answer: A,C,E,F 🗳️
You have developed a notebook in an Autonomous Database (ADB) and you need to share the notebook with your colleague to run on a different ADB instance.
How should you enable your colleague to work with this notebook?
- A. Save the notebook in .csv format and have your colleague import this notebook.
- B. Save the notebook as a shared template.
- C. Export the notebook in . json format and have your colleague import this notebook.
- D. Make the notebook public.
Correct Answer: A 🗳️
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