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  4. 1z0-1041-22 - Oracle Cloud Platform Enterprise Analytics 2022 Professional
Note! 1z0-1041-22 has been withdrawn. The new exam code is 1z0-1041-23

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1z0-1041-22 Questions and Answers

Question # 1

A customer wants to build a Block Storage (BSO) cube which has 8 standard dimensions and 2 attribute dimensions.

How many dimension worksheets will the application workbook have?

A.

10 dimension worksheets

B.

12 dimension worksheets

C.

8 dimension worksheets

D.

9 dimension worksheets

E.

1 dimension worksheet

Question # 2

Select two correct editions of Oracle Analytics Cloud.

A.

Big Data Edition

B.

SaaS Edition

C.

Data Lake Edition

D.

BI Cloud Service Edition

E.

Standard Edition

Question # 3

Your customer has a requirement to generate a Year-to-Date and Quarter-to-Date report from a Block Storage Essbase cube. The cube has a dimension that represents Time and includes calendar months as leaf-level members.

What two steps should you perform to enable To-Date reporting?

A.

Enable Dynamic Time Series in the Time dimension and configure Y-T-D and Q-T-D.

B.

Ensure the Time Balance functionality is turned on for the cube.

C.

Exclude Quarters from the Time hierarchy.

D.

Ensure the dimension representing Time is tagged as the "Time" dimension.

Question # 4

What is the Oracle resource recommendation for applying a patch?

A.

Oracle recommends 230 GB, that is, 130 GB latency, and 100 GB data.

B.

Oracle recommends 300 GB, that is, 150 GB latency,and 150 GB data.

C.

Oracle recommends 200 GB, that is, 100 GB latency, and 100 GB data.

D.

Oracle recommends 330 GB, that is, 180 GB latency, and 150 GB data.

Question # 5

Which two statements are true regarding the ways in which Oracle Analytics Cloud provides self-service data preparation capabilities?

A.

The Oracle Data Integrator tool used for extraction, load, and transformation of data is a foundational component of the Oracle Analytics Cloud and is essential for data preparation.

B.

Join rules formashing up data from relational sources and delimited flat files can only be defined within the Oracle Analytics Cloud Data Modeler.

C.

Data flows within the data preparation feature of Data Visualization can be used to extract,

wrangle, and format data content from all supported data sources to create data sets upon which visuals may be constructed.

D.

Data sources can include application tables, data warehouses, data lake reservoirs, delimited flat files, and Microsoft Excel spreadsheets in the .xlsx format.

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