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NEW QUESTION: 1
An HPE customer wants to perform is simplified update of firmware and drivers among their 100 HPE Gen9 and Gen10 racked servers.
Which HPE software tool should the customer use to minimize the time required to perform this activity.
A. HPE ProLiant Support Pack
B. HPE OneView Standard
C. HPE Smart Update Manager
D. HPE iLO Amplifier Pack
Answer: D

NEW QUESTION: 2
You plan to use Power BI Desktop to import 100 CSV files.
The files contain data from different stores. The files have the same structure and are stored in a network share.
You need to import the CSV files into one table. The solution must minimize administrative effort.
What should you do?
A. Add a folder data source and use the Merge Queries command.
B. Add a Microsoft Excel data source and use the Merge Queries command.
C. Add text/CSV data sources and use the Append Queries command.
D. Add a folder data source and use the Combine Files command.
Answer: D
Explanation:
Explanation
References: https://docs.microsoft.com/en-us/power-bi/desktop-combine-binaries

NEW QUESTION: 3
Identify the two true statements about a sparse Entity dimension In Hyperion Planning.
A. Exchange rates are assigned to entity members.
B. Base currencies are assigned to entity members.
C. Entity along with Scenario and Period make up a planning unit.
D. You cannot build alternate rollups or assign custom attributes.
E. Entity along with Scenario and Version make up a planning unit.
Answer: B,E
Explanation:
Explanation/Reference:
Explanation:
E: The Scenario and Version dimensions represent the broadest categories of data in your application.
Scenario describes the type of data that a plan includes, such as budget, actual, or forecast, as well as the time span that the plan covers.
Version allows for flexibility and iterative planning cycles. For example, your application could have two versions, Working and Final, for each scenario. You can also use versions to model possible outcomes based on different assumptions about interest rates, growth rates, and so on. For example, your application an have a Best Case and Worst Case version for each scenario.
Note:
Essbase maximizes performance by dividing the Essbase - Standard dimensions of an application into two types:
dense dimensions

sparse dimensions.

Sparse and dense are a property of the values of an attribute.
Sparse
Data is normally stored in sparse form. If no value exists for a given combination of dimension values, no row exists in the fact table. For example, if not every product is sold in every market. In this case, Market and Product are sparse dimensions.
It's why in the reporting tool Obiee for instance, by default, data are considered sparse.
Dense
Most multidimensional databases may also contain dense dimensions. A fact table is considered to have dense data if it has (of a high probability to have) one row for every combination of its associated dimension levels.