1Z0-1096-23 – Q&A PDF Exam

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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. 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. 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