2022 Updated Verified Pass 1Z0-1096-21 Study Guides & Best Courses [Q18-Q36]

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2022 Updated Verified Pass 1Z0-1096-21 Study Guides & Best Courses

Ultimate Guide to the 1Z0-1096-21 – Latest Edition Available Now

Oracle 1Z0-1096-21 Exam Syllabus Topics:

Topic	Details
Topic 1	Creating SQL Scripts and Running SQL Commands in Oracle Machine Learning Describe the components and features of OML
Topic 2	Work with AutoML using AutoML UI and OML4Py Manage workspaces and workspace permissions
Topic 3	Identify the restrictions on SQL commands and for database options Share a notebook by using Oracle Machine Learning templates
Topic 4	Describe administering Oracle Machine Learning Describe Notebooks in Oracle Machine Learning
Topic 5	Collaborating Using Templates in Oracle Machine Learning Create select forms and check-box forms in Notebooks
Topic 6	Explain the workflow for managing Oracle Machine Learning Create a new project and workspace in Oracle Machine Learning
Topic 7	Introduction to Oracle Machine Learning (OML) and Oracle Autonomous Cloud Platform Describe personal, shared and example templates
Topic 8	Describe a typical workflow for analyzing data with Oracle Machine Learning Creating Workspace and Projects in Oracle Machine Learning
Topic 9	Describe templates in Oracle Machine Learning Describe jobs in Oracle Machine Learning
Topic 10	Working with Jobs in Oracle Machine Learning Notebooks in Oracle Machine Learning

Q18. Which task is NOT required by an Administrator when adding a new user to Oracle Machine Leamina (OML) Notebooks?

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

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

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

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

Q19. Examine the command:
%script
SET SQLFORMAT ANSICONSOLE
What is the output of a query if this sqlformat is set?

It formats the output columns with fixed-width columns with data enclosed in double quotation marks.

It formats the output columns to return ANSI characters.

It formats and resizes the output columns to the width of the data to save space.

It formats the output columns to add ANSI characters as the delimiter string.

Q20. Which three types of templates are available in Oracle Machine Learning Notebooks?

Personal templates

Public templates

Example templates

Shared templates

Custom templates

https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/use-library-collaborate-users.html#GUID-F468F691-2B8B-4427-B517-5F149AA57239

Q21. You want to predict which customers are likely to increase spending if given an additional credit card. Your task is to build a model using demographic and aggregated credit card data for customers who have used similar cards in the past.
Which machine learning technique should you use to achieve this?

Classification

Regression

Feature Extraction

Attribute Importance

Q22. In an Oracle Machine Learning notebook, which is the correct syntax for starting a SQL script in Scratchpad?

#sql

Ssql

%sql

@sql

Q23. You want to analyze the spike in sales during weekends in India (Saturday and Sunday) and also perform a similar analysis for weekends in Dubai (Friday and Saturday). You will be reusing these notebooks in similar situations over time. You do not want to share them with other users.
Which template should you use?

Shared

Personal

Example

Public

Q24. Which two Oracle Cloud services are Integrated with Oracle Machine Learning?

Oracle Stream Analytics

Oracle Analytics Cloud

Oracle Autonomous Database

Oracle GoldenGate

Q25. Which two statements are true about supervised machine learning?

There is no previously known result to guide the algorithm in building the model.

It does not specify a target, it can be applied to a population of interest.

It is used to extract meaningful insights from raw data to improve data operational efficiency.

It generally results in predictive models.

The learning process is directed by a previously known dependent attribute or target.

Supervised learning is also known as directed learning. The learning process is directed by a previously known dependent attribute or target. Directed data mining attempts to explain the behavior of the target as a function of a set of independent attributes or predictors. Supervised learning generally results in predictive models. This is in contrast to unsupervised learning where the goal is pattern detection. The building of a supervised model involves training, a process whereby the software analyzes many cases where the target value is already known. In the training process, the model “learns” the logic for making the prediction. For example, a model that seeks to identify the customers who are likely to respond to a promotion must be trained by analyzing the characteristics of many customers who are known to have responded or not responded to a promotion in the past.
https://docs.oracle.com/cd/E18283_01/datamine.112/e16808.pdf

Q26. When managing Machine Learning models using the OML AutoML UI, what are the three actions that can be performed on Oracle Machine Learning (OML) models from within OML AutoML UI?

Review the model statistics associated with the experiment of an ONNX-format image classification model.

Create a notebook with auto-generated OML4Py code from an OML in-database model to allow for further model tweaking and batch scoring.

Review the model statistics associated with the experiment of an OML in-database model.

Deploy an OML in-database model to a REST endpoint.

Review the model statistics associated with the experiment of an ONNX-format (Open Neural Networks Exchange) model.

Q27. Which two statements are true about Classification algorithms?

They predict numeric values along a continuum.

They extract rules using unsupervised learning.

They assign cases to target categories.

They require known outcomes to guide the learning process.

Q28. In which three use cases are Oracle Machine Learning algorithms suitable?

Customer segmentation

Graph analytics

Speech recognition

Medical outcome analysis

Anomaly and fraud detection

Q29. 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?

Provide the user Viewer permission to your workspace.

Export the notebook and import it into the other user’s project.

Share the notebook as a Shared Oracle Machine Learning Template.

Provide the user Developer permission to your workspace.

Q30. You are working as an application developer using Oracle Machine Learning Notebooks and want to get your project and notebooks reviewed by a subject matter expert (SME). You granted the Developer permission to the SME on the workspace.
Which two actions can be performed by the SME?

Create new projects.

Create jobs for shared notebooks.

View, create, run, and update any notebook in the workspace.

Create new workspaces.

View and run jobs of shared notebooks.

Q31. When managing models using the Model Repository screen from the OML AutoML UI, what are the four operations a user can do to models and model deployments?

Change the deployment date of a previously deployed OML in-database model.

Delete an existing OML in-database model.

Change the namespace of a previously deployed OML in-database model.

Deploy an existing Oracle Machine Learning in-database model as a REST endpoint in OML Services.

Change the owner of a previously deployed OML in-database model.

Undeploy a previously deployed OML in-database model.

Q32. Which three are supervised machine learning algorithms?

Random Forest

Support Vector Machines

Linear Regression

Association rule

K-means clustering

Q33. What is the proper workflow for analyzing data in Oracle Machine Learning?

Evaluate the model, prepare the data, build the model, and deploy the model.

Get predictions from the model, prepare the data, build the model, and deploy the model

Prepare the data, build the model, evaluate the model, and deploy the model.

Build the model, prepare the data, evaluate the model, and deploy the model.

Q34. Which three tasks can be performed by an Oracle Machine Learning (OML) user with the Developer role?

Create other OML users.

Create and run scratchpads.

Create and run OML notebooks.

Share notebooks.

Transfer OML workspace to other users.

Edit Example templates.

Q35. 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?

Admin

Manager

Viewer

Developer

Q36. Which three data sources can be immediately used for model building in Oracle Machine Learning?

Oracle Database External tables

JSON files

CSV files

Oracle Database views

Oracle Database tables

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2022 Updated Verified Pass 1Z0-1096-21 Study Guides & Best Courses [Q18-Q36]

Oracle 1Z0-1096-21 Exam Syllabus Topics:

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