2022 Latest Oracle 1Z0-1096-21 Real Exam Dumps PDF [Q26-Q41] – Unlimited Lifetime Access Free Exams PDF

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2022 Latest Oracle 1Z0-1096-21 Real Exam Dumps PDF

1Z0-1096-21 Exam Dumps, 1Z0-1096-21 Practice Test Questions

Oracle 1Z0-1096-21 Exam Syllabus Topics:

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

Q26. 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

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. 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?

Generalized Linear Model (Regression)

Support Vector Machine (Regression)

Explicit Semantic Analysis

One-Class Support Vector Machine

Generalized Linear Model (Classification)

Neural Networks (Regression)

Q29. Which two Oracle Cloud services are Integrated with Oracle Machine Learning?

Oracle Stream Analytics

Oracle Analytics Cloud

Oracle Autonomous Database

Oracle GoldenGate

Q30. Examine the output:

SET SQLFORMAT FIXED

SET SQLFORMAT ANSICONSOLE

SET SQLFORMAT LOADER

SET SQLFORMAT DELIMITED

Q31. What are three key features of Oracle Machine Learning Notebooks?

They enable job scheduling of notebooks on a recurring schedule.

They enable access to in database implementation of machine learning algorithms.

They support SQL, PL/SQL, JavaScript, and PHP scripting languages.

They support integration with Oracle Data Miner-ID

They provide a collaborative notebook interface on Oracle Autonomous Database.

Q32. What is the correct sequence of creating items in Oracle Machine Learning (OML) Notebooks when setting up a new Autonomous Database instance?

Job, Project, Workspace, Notebook

Notebook, Job, Project, OML User

Workspace, OML User, Notebook, Jobs

OML User, Notebook, Job

Q33. Which two templates are supported while saving a notebook?

Shared

Example

Public

Personal

https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/notebooks-templates.html

Q34. Which three types of forms are available in Oracle Machine Learning Notebooks?

Text Input form

Select form

List form

Check Box form

Radio form

Q35. Which two are required by an administrator while adding a new user to Oracle Machine Learning (OML) Notebooks?

Autonomous Database (ADB) name

User’s name and email ID

Wallet information to connect to ADB

Privileges to be provided

OML username and password

Q36. 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.

Q37. For which two types of notebooks can you schedule a job?

Notebooks under Personal templates

Notebooks owned by you

Notebooks under Shared templates

Notebooks shared with you

Q38. Examine the command:
%sql
SELECT CUST_MARITAL_STATUS, MEDIAN <COST_CREDIT__LIMIT)
FROM SH. CUSTOMERS GROUP BY CUST_MARITAL_STATUS;
Which statement is true about running this command where the table has columns cust_maritax._statu3 (VARCHAR2) and cost_credit_limit (number) with 100k rows of non-null data?

It will return the median value of customer credit limit grouped by marital status.

It will return the marital status and credit limit of each customer.

It will return an error.

It will return a customer’s marital status and credit limit grouped by marital status

Q39. Which three actions can be performed by an Administrator in Oracle Machine Learning (OML) Notebooks?

Reassign workspaces to users.

Create, edit and delete OML users.

View notebooks.

Create, run and delete notebooks.

Create and run jobs.

Q40. 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?

Viewer

Developer

Editor

Manager

Q41. Which two types of permissions allow you tables and run any script on an owner’s account?

Manager

Viewer

Developer

Guest

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