최신 1z0-1041-23 무료덤프 - Oracle Cloud Infrastructure 2023 Enterprise Analytics Professional

A. Use the explain feature to quickly identify Basic Facts, Key Drivers, Segments, and Anomalies.

B. Add trend lines, clustering, and outliers to visualizations to offer new perspectives

C. Create Data Flow to highlight interesting data.

D. Add the relevant visualizations to a canvas.

E. Create a sequence and schedule it to run on a nightly basis.

A. Use the machine learning model visualization.

B. Create a custom calculation.

C. Create a data sequence.

D. Create a scenario using the required model.

A. Aggregate

B. Add Data

C. Merge Columns

D. Filter

A. A subject area must be modified to include all the columns required.

B. Create two separate analyses and use the union feature.

C. Create two separate analyses and use the merge feature.

D. Create an analysis and add a second subject area for a union.

A. Data set created with data preparation

B. Hierarchy created in a proper snowflake multi-table data set

C. Data set with a hierarchy created in OAC Data Flow

D. Semantic model created in the Thin Client Modeler

E. Data set merging a semantic model with the hierarchy and additional data

F. Semantic model created in the OA Admin tool

A. Tiled Web Map

B. Google Map

C. Baidu Map

D. Oracle Map

E. WMS Map

A. Create two separate data flows for the Country and Sales data sets. Then call one data flow from another.

B. Create a single data flow that loads data to the Country data storage in the first step and then loaders data storage in the seconds the flows for the Country and Sales data sets.

C. Create data flows for the Country and Sales data sets. Then create a sequence where the data flow for Sales is called first followed by the data flow for Country.

D. Create two separate data flows for the Country and Sales data sets. Then create a sequence "low for Country is called first followed by the data flow for Sales.