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Oracle 1z0-1096-22 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Preparation and Exploration | - Feature selection and data preprocessing techniques - Data loading and transformation using SQL and Oracle tools |
| Topic 2: Oracle Machine Learning Notebooks | - Using OML Notebooks for data science workflows - SQL and Python integration in OML |
| Topic 3: Model Deployment and Management | - Deploying machine learning models in Oracle Autonomous Database - Model lifecycle management and monitoring |
| Topic 4: Introduction to Oracle Machine Learning and Autonomous Database | - Oracle Autonomous Database architecture overview - Machine learning capabilities in Autonomous Database |
| Topic 5: Model Building and Evaluation | - Model evaluation and performance metrics - Applying machine learning algorithms in Autonomous Database |
Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:
1. You have shared your workspace with other users. You want to allow them to run and update the notebooks. However, you do not want to provide the ability to schedule the jobs to run notebooks.
Which permission should be granted to other users?
A) Developer
B) Viewer
C) Admin
D) Manager
2. 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) Export the notebook and import it into the other user's project.
C) Provide the user Viewer permission to your workspace.
D) Provide the user Developer permission to your workspace.
3. In which three use cases are Oracle Machine Learning algorithms suitable?
A) Customer segmentation
B) Speech recognition
C) Anomaly and fraud detection
D) Medical outcome analysis
E) Graph analytics
4. Which two statements are true about Classification algorithms?
A) They require known outcomes to guide the learning process.
B) They predict numeric values along a continuum.
C) They assign cases to target categories.
D) They extract rules using unsupervised learning.
5. 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 as a shared template.
B) Export the notebook in . json format and have your colleague import this notebook.
C) Make the notebook public.
D) Save the notebook in .csv format and have your colleague import this notebook.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A,C,D | Question # 3 Answer: A,C,E | Question # 4 Answer: A,B | Question # 5 Answer: B |


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