Most Recent Oracle 1Z0-1096-23 Exam Dumps

Prepare for the Oracle Machine Learning using Autonomous Database 2023 Associate exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Oracle 1Z0-1096-23 exam and achieve success.

The questions for 1Z0-1096-23 were last updated on May 3, 2025.

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Question No. 1

What is the first step for analyzing data that is external to Oracle Database with Oracle Machine Learning?

ADeploy the model.

BLoad the data.

CPrepare the data.

DCreate the model.

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Correct Answer: B

The first step for analyzing data that is external to Oracle Database with Oracle Machine Learning is to load the data34.

Loading the data means transferring the external data into Oracle Database tables or views, which can then be accessed by Oracle Machine Learning tools and functions.Loading the data can be done by using various methods, such as SQL*Loader, Data Pump, External Tables, or Oracle Database Gateway34.

Loading the data is necessary because Oracle Machine Learning operates on data that is stored inside Oracle Database.By loading the external data into Oracle Database, users can leverage the benefits of in-database analytics, such as scalability, performance, security, and integration34.

Question No. 2

Which task is NOT required by an Administrator when adding a new user to Oracle Ma-chine Leamina (OML) Notebooks?

ACreate an OML username and password for the user in the Oracle Machine Learning Management User Interface.

BProvide the user with an Autonomous Data Warehouse client wallet for remote authentication.

CAdd the user's full name and email ID in the Oracle Machine Learning Management User Interface.

DIssue grant commands on the database to allow access to the tables associated with the user's Oracle Machine Learning Notebooks.

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Correct Answer: B

The task that is NOT required by an administrator when adding a new user to Oracle Machine Learning Notebooks is providing the user with an Autonomous Data Warehouse client wallet for remote authentication3.

The client wallet is only needed for remote access to the database using tools such as SQL Developer or Python.For accessing Oracle Machine Learning Notebooks, the user only needs an OML username and password, which are created by the administrator in the Oracle Machine Learning User Management interface3.

Question No. 3

Which type of user has access to the Oracle Machine Learning User Management interface?

AGuest

BDeveloper

CManager

DAdministrator

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Correct Answer: D

https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/access-autonomous-database.html#GUID-8D6312CB-E330-4C22-9FDC-0F044173735D

Question No. 4

Which statement is FALSE about Oracle Machine Learning (OML) Notebooks?

AYou can share notebooks with Import/Export operations.

BYou can set the output format in SQL paragraphs of a notebook.

CWithin notebook paragraphs you can switch between data views of tables, pie charts, bar charts, line plots and scatter plots.

DWhen visualizing a 1 million row database data using the built-in Zeppelin visualizers, OML will by default display the results on the entire table.

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Correct Answer: D

https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/get-started-oracle-machine-learning.html#GUID-13452045-6AF6-402B-83CC-C9AFBCEC30CA Typical Workflow For Using Notebooks To begin with Oracle Machine Learning Notebooks, refer to the tasks listed in the table as a guide. TasksMore InformationAccess Oracle Machine Learning Note-booksAccess Oracle Machine LearningCreate workspacesCreate Projects and WorkspacesCreate projectsCreate Projects and WorkspacesCreate notebooksCreate a NotebookRun a Notebook with Python InterpreterRun a Notebook with Python InterpreterUse the ScratchpadUse the Scratchpad-Create jobs to schedule notebooksCreate Jobs to Schedule Notebook

Question No. 5

You are tasked with building a predictive model that can estimate the price of houses, based on attributes like number of rooms, square-footage (size), location, neighborhood attributes, year built among others. Which three algorithms can you use to produce such a model with Oracle Machine Learning? (Choose three.)

ASupport Vector Machine (Regression)

BGeneralized Linear Model (Regression)

CGeneralized Linear Model (Classification)

DOne-Class Support Vector Machine

ENeural Networks (Regression)

FA. Explicit Semantic Analysis

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Correct Answer: A, B, E

https://learn.oracle.com/ols/course/using-oracle-machine-learning-with-autonomous-database/35644/98086/149312 This is from Oracle Course : Using Oracle Machine Learning with Autonomous Database Regression is a supervised learning technique used when the output attribute is a continuous numerical value, for example, the price of a property based on the attributes of the property and its locality, the humidity of an area, and so on. Here is a list of all the algorithms offered by Oracle Machine Learning. Unsupervised learning does not involve direct control from the developer. In terms of defining an output attribute, the output attribute is a dependent attribute. And as there is no output attribute in unsupervised learning, there is no distinction between dependent and independent attributes.

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