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Oracle 1z0-1096-22 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and Evaluating Models | 25% | - Model development and validation
|
| Topic 2: Administration and Security | 10% | - Access control and privileges
|
| Topic 3: OML Notebooks and Environment | 15% | - Workspace and notebook management
|
| Topic 4: Data Preparation and Exploration | 20% | - Data access and transformation
|
| Topic 5: Oracle Machine Learning Fundamentals | 15% | - Machine learning concepts and paradigms
|
| Topic 6: AutoML and Model Management | 15% | - Automated machine learning
|
Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:
1. 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 Developer permission to your workspace.
C) Provide the user Viewer permission to your workspace.
D) Export the notebook and import it into the other user's project.
2. What is the proper workflow for analyzing data in Oracle Machine Learning?
A) Get predictions from the model, prepare the data, build the model, and deploy the model
B) Prepare the data, build the model, evaluate the model, and deploy the model.
C) Evaluate the model, prepare the data, build the model, and deploy the model.
D) Build the model, prepare the data, evaluate the model, and deploy the model.
3. In an Oracle Machine Learning notebook, which is the correct syntax for starting a SQL script in Scratchpad?
A) #sql
B) Ssql
C) @sql
D) %sql
4. 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) Admin
B) Developer
C) Viewer
D) Manager
5. Which four actions would typically be performed during the data preparation step for analyzing data with Oracle Machine Learning?
A) performing feature engineering, such as creating derived variables
B) data collection from various sources
C) building a machine learning model
D) binning of numeric data
E) missing value replacement
F) numeric data normalization
Solutions:
| Question # 1 Answer: A,B,C | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: A,B,E,F |
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