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Updated: Jul 29, 2026
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| Certification Vendor: | Oracle |
| Exam Name: | Oracle Machine Learning using Autonomous Database 2022 Specialist |
| Exam Number: | 1Z0-1096-22 |
| Available Languages: | English |
| Related Certifications: | Oracle Machine Learning using Autonomous Database Oracle Cloud Data Science certification track |
| Exam Price: | $245 USD |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 18 months |
| Exam Format: | Multiple Choice, Multiple Response |
| Passing Score: | 68% |
| Real Exam Qty: | 50-60 |
| Recommended Training: | Oracle Machine Learning courses |
| Exam Registration: | Oracle Certification Registration |
| Sample Questions: | Oracle 1z0-1096-22 Sample Questions |
| Exam Way: | Online proctored or test center delivery via Oracle testing providers |
| Pre Condition: | No mandatory prerequisites, but knowledge of SQL, PL/SQL, and basic machine learning concepts is recommended. |
| Official Syllabus URL: | https://education.oracle.com/ |
| Section | Objectives |
|---|---|
| Topic 1: Model Building and Evaluation | - Applying machine learning algorithms in Autonomous Database - Model evaluation and performance metrics |
| Topic 2: Oracle Machine Learning Notebooks | - Using OML Notebooks for data science workflows - SQL and Python integration in OML |
| Topic 3: Data Preparation and Exploration | - Feature selection and data preprocessing techniques - Data loading and transformation using SQL and Oracle tools |
| Topic 4: Model Deployment and Management | - Model lifecycle management and monitoring - Deploying machine learning models in Oracle Autonomous Database |
| Topic 5: Introduction to Oracle Machine Learning and Autonomous Database | - Oracle Autonomous Database architecture overview - Machine learning capabilities in Autonomous Database |
1. Which three statements are true about unsupervised machine learning?
A) It can be used as a preliminary step for supervised algorithms.
B) There is no previously known result to guide the algorithm in building the model.
C) It uses unlabeled data.
D) It analyzes cases where the target value is already known.
2. Which two can be performed by an Administrator in Oracle Machine Learning Notebooks? (Choose two.)
A) Run noteboooks
B) Reassign user workspace
C) Manage any notebook
D) View notebooks in read-only mode
3. How can you share a notebook with multiple developers for a collaborative effort with notebook editing?
A) You create different notebooks, edit separately, and merge later.
B) You can share notebooks if you have Developer permissions.
C) You can share notebooks if you have Viewer permissions.
D) Notebooks cannot be shared for collaborating with other users.
4. 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 user requires the Create Job role.
B) A developer cannot create jobs for notebooks that are shared.
C) The notebook contains code with syntax errors, which need to be corrected first.
D) The specified job already exists.
5. Which three services can be used to access Oracle Machine Learning Notebooks? (Choose three.)
A) Oracle Application Express
B) Autonomous JSON Database
C) Autonomous Transaction Processing
D) Autonomous Data Warehouse
E) Autonomous Dedicated Infrastructure
Solutions:
| Question # 1 Answer: B,C,D | Question # 2 Answer: B,D | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: B,C,D |
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