Format: Multiple Choice
Duration: 90 Minutes
Exam Price: $
Number of Questions: 55
Passing Score: 68%
Validation: This exam has been validated against Oracle Cloud Infrastructure 2023
Policy: Cloud Recertification

Prepare to pass exam: 1Z0-1096-23
The Oracle Machine Learning using Autonomous Database 2023 Certified Associate has foundational knowledge of Oracle Machine Learning and its components, is familiar with machine learning techniques and algorithms, and has either performed the tasks covered in the exam or practiced them in labs or an environment. This candidate can create projects, workspaces, job schedules, templates and notebooks in Oracle Machine Learning and can run SQL and PLSQL scripts.

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Take recommended training
Complete one of the courses below to prepare for your exam (optional):

Become a Specialist on Oracle Machine Learning with Autonomous Database – 2023

Practice Exam
Additional Preparation and Information
A combination of Oracle training and hands-on experience (attained via labs and/or field experience), in the learning subscription, provides the best preparation for passing the exam.

Review exam topics

Introduction to Oracle Machine Learning (OML) and Oracle Autonomous Cloud Platform
Describe Oracle Machine Learning (OML)
Describe the components and features of OML

Creating Workspace and Projects in Oracle Machine Learning
Access the Oracle Machine Learning Home page in Autonomous Data Warehouse
Create a new project and workspace in Oracle Machine Learning
Manage workspaces and workspace permissions

Creating SQL Scripts and Running SQL Commands in Oracle Machine Learning
Describe the SQL Script Scratchpad
Run SQL scripts
Export and import SQL scripts
Identify the restrictions on SQL commands and database options

Notebooks in Oracle Machine Learning
Describe Notebooks in Oracle Machine Learning
Create and run a Notebook
Describe a typical workflow for analyzing data with Oracle Machine Learning
Create select forms and check-box forms in Notebooks

Collaborating Using Templates in Oracle Machine Learning
Describe templates in Oracle Machine Learning
Share a notebook by using Oracle Machine Learning templates
Describe personal, shared, and example templates

Working with Jobs in Oracle Machine Learning
Describe jobs in Oracle Machine Learning
Create jobs to schedule notebooks
View job logs

Administering Oracle Machine Learning
Describe administering Oracle Machine Learning
Explain the workflow for managing Oracle Machine Learning
Create user accounts for Oracle Machine Learning

Working with AutoML
Describe AutoML in Oracle Machine Learning
Work with AutoML using AutoML UI and OML4Py

QUESTION 1
What are three key features of Oracle Machine Learning Notebooks? (Choose three.)

A. They enable access to in database implementation of machine learning algorithms.
B. They support integration with Oracle Data Miner-ID
C. They support SQL, PL/SQL, JavaScript, and PHP scripting languages.
D. They provide a collaborative notebook interface on Oracle Autonomous Database.
E. They enable job scheduling of notebooks on a recurring schedule.

Answer: A, D, E

QUESTION 2
What is the correct sequence of function invocations of AutoML API from OML4Py to solve a business problem?

A. Model selection, Algorithm selection
B. Algorithm selection, Feature selection. Model tuning
C. Model selection, Algorithm selection
D. Model tuning. Algorithm selection. Feature selection

Answer: B

QUESTION 3
You have created a workspace in Oracle Machine Learning Notebooks and want to share it with
collaborators by granting permissions to access your workspace. You want to enable other users to
run and modify your notebooks but do not want to provide the ability to schedule jobs that run your notebooks.
Which permission type should be granted to this user?

A. Manager
B. Viewer
C. Developer
D. Designer

Answer: C

QUESTION 4
Which three types of forms are available in Oracle Machine Learning Notebooks? (Choose three.)

A. Text Input form
B. List form
C. Radio form
D. Select form
E. Check Box form

Answer: A, D, E

QUESTION 5
Which step is not required to be performed by an administrator when adding a new user to Oracle Machine Learning (OML) Notebooks?

A. Provide the user with Autonomous Database client wallet for remote credentials.
B. Create an OML username and password for the user in the Oracle Machine Learning User Management interface.
C. Add the user’s name and email ID in the Oracle Machine Learning User Management interface.
D. Issue grant commands on tables from other schemas to allow access from shared note-books.

Answer: A