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Oracle 1z0-1041-22 Exam With Confidence Using Practice Dumps

Exam Code:
1z0-1041-22
Exam Name:
Oracle Cloud Platform Enterprise Analytics 2022 Professional
Certification:
Oracle Other Certification
Vendor:
Oracle
Questions:
81
Last Updated:
Jan 5, 2025
Exam Status:
Stable
Oracle 1z0-1041-22

1z0-1041-22: Oracle Other Certification Exam 2024 Study Guide Pdf and Test Engine

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Oracle Cloud Platform Enterprise Analytics 2022 Professional Questions and Answers

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Question 1

What are two incorrect steps when creating pixel perfect reports with Bl Publisher?

Options:

A.

Generate and save to a folder in the Presentation Catalog a sample set of data that can be used for configuring and testing the report.

B.

Define a data model to set the business view of the data, join data sets, and create custom measures.

C.

Create connections to sources, some of which include Oracle l0g/llg, Oracle BI Server, JDBC, and MS SQL Server 2005/2008.

D.

Test connections between BI Publisher and configured sources using Oracle Fusion Middleware Control.

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Question 2

The extensive palette of visualization options delivered with Oracle Analytics Cloud can be extended with custom plugins.

What option isfalse about implementing custom visualization plugins?

Options:

A.

The bicreateplugin script, provided with Oracle Analytics Cloud, can be used to create a skeleton visualization to facilitate custom development.

B.

Oracle Analytics Cloud provides a Software Development Kit (SDK) to enable builds of custom plugins.

C.

To be implemented, custom plugins must be deployed in the Bi_HOME\Analytics\src\customVi2 directory and BI Services need to be restarted.

D.

Plugins for rendering sophisticated visuals can be downloaded from the Oracle Data Visualization Library.

Question 3

Which two statements are true about a segment as defined in the Oracle Analytics Cloud machine learning functionality?

Options:

A.

It Is a component of the output from the Explain functionality.

B.

It Is a component of a data flow sequence.

C.

It is the resulting data set after applying a filter in a data flow.

D.

It is a statistically determined group of data points that may contribute to predicting the value of an attribute of interest.

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