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Oracle Cloud Platform Enterprise Analytics 2021 Specialist Sample Questions:

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) 1 dimension worksheet
B) 9 dimension worksheets
C) 8 dimension worksheets
D) 10 dimension worksheets
E) 12 dimension worksheets

2. Which two statements aretrue regarding configuring filters to control visual content?

A) Application role filters for fact and dimension tables are defined in the Oracle Analytics Cloud Data Modeler.
B) Variables may be employed in all Data Visualization filter types (that is, Range, List, Date, Expression).
C) Expression filters cannot be applied in the filter steps of Oracle Analytics Cloud Data Visualization data flows.
D) When the Oracle Business Intelligence Enterprise Edition repository is used as a data source, filters defined in the initialization blocks with the client administration tool are automatically inherited in Data Visualization.

3. If something goes wrong with your data model, you can easily restoreyour content to a previous working state from a_____.

A) analytics_restore command
B) snapshot
C) db_restore command
D) Model Restore

4. Which feature does the Data Lake Edition uniquely offer?

A) Migrate content from your existing on-premises environment
B) Live optimized connectivity to your on-premises database
C) Execute data flows on Apache Spark
D) Use the Day by Day mobile app

5. Your customer is looking to get a better understanding of their data, in particular how Oracle Analytics Cloud can help them gain a competitive advantage.
Which two tasks can help them achieve their goals?

A) Create a data story by using the narrate functionality to present to their management.
B) Import the data Into Oracle Analytics Cloud and use the Data Tile functionality in the Prepare section of the product. Use the resulting combination of visualization types to determine relationships and avenues for further exploration.
C) Perform analysis on the data by using trend lines, clustering, and outlier detection to offer new perspectives.
D) Create a data flow to highlight the interesting data.

Solutions: