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Oracle 1z0-1096-22 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Building and Evaluation | - Applying machine learning algorithms in Autonomous Database - Model evaluation and performance metrics |
| Introduction to Oracle Machine Learning and Autonomous Database | - Machine learning capabilities in Autonomous Database - Oracle Autonomous Database architecture overview |
| Oracle Machine Learning Notebooks | - Using OML Notebooks for data science workflows - SQL and Python integration in OML |
| Data Preparation and Exploration | - Feature selection and data preprocessing techniques - Data loading and transformation using SQL and Oracle tools |
| Model Deployment and Management | - Model lifecycle management and monitoring - Deploying machine learning models in Oracle Autonomous Database |
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. Notebook, Job, Project, OML User
B. Workspace, OML User, Notebook, Jobs
C. Job, Project, Workspace, Notebook
D. OML User, Notebook, Job
Question 2
Two users at different locations are collaborating on a project by editing the same notebook. Which type of notebook should they use for collaboration?
A. Example notebook
B. Personal Notebook
C. Public Notebook
D. Shared Notebook
Question 3
Which two are required by an administrator while adding a new user to Oracle Machine Learning (OML) Notebooks?
A. OML username and password
B. Autonomous Database (ADB) name
C. Wallet information to connect to ADB
D. Privileges to be provided
E. User's name and email ID
Question 4
Which machine learning algorithm allows the system to identify patterns within data sets on its own?
A. Reinforcement Learning
B. Supervised Learning
C. Semi-supervised Learning
D. Unsupervised Learning
Question 5
Which three statements are true about Oracle Machine Learning Notebooks?
A. It is used to manage and monitor database objects.
B. It is used for data preparation and exploration.
C. It provides a web-based interface for data analysis.
D. It is used to create low-code applications.
E. It is used to access machine learning algorithms.
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: A,E | Question 4 Answer: D | Question 5 Answer: B,C,E |
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