Quiz 1z0-591 - Oracle Business Intelligence Foundation Suite 11g Essentials Marvelous Authorized Exam Dumps
Quiz 1z0-591 - Oracle Business Intelligence Foundation Suite 11g Essentials Marvelous Authorized Exam Dumps
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Oracle Business Intelligence Foundation Suite 11g Essentials Sample Questions (Q23-Q28):
NEW QUESTION # 23
A customer needs to create a product share calculation. What are the two ways that they would get the revenue for all products to use in the denominator?
- A. Create a derived measure based on Revenue that has all the levels selected on the Level Tab of the Logical Column Dialog except Total Product.
- B. Create a derived metric by using the Expression Builder.
- C. Create a derived measure based on Revenue that has the Level Total Product selected on the Level Tab of the Logical Column Dialog.
- D. Create a derived measure by using the addition function that adds each product value together.
Answer: A,D
Explanation:
Explanation/Reference:
Note: A level-based measure is a column whose values are always calculated to a specific level of aggregation.
The calculation of this measure is independent of the query grain and used always the aggregation grain of the logical column.
Level-based measures allow :
* to return data at multiple levels of aggregation (the query grain and the level-based column grain) with one single query
* to create share measures (percentage), that are calculated by taking some measure and dividing it by a level-based measure. For example, you can divide salesperson revenue by regional revenue to calculate the share of the regional revenue each salesperson generates.
NEW QUESTION # 24
How do you get the BI plug-in for MS Office?
- A. By downloading it from the BI Server
- B. By contacting the administrator
- C. By downloading it from the Database Server
- D. By downloading it from Microsoft Server
Answer: A
Explanation:
Download and installation of the client
The client install executable is available for download from the More Products menu in Oracle BI Interactive Dashboards and Oracle BI Answers.
See picture below.
NEW QUESTION # 25
Which two steps are needed to set up Failover support for an OBIEE deployment?
- A. Leverage spare hardware capacity of single machine by using Vertical scale out option
- B. Employ WebLogic Enterprise Edition, licensed separately
- C. Use Installer to set up separate single instances, then apply Horizontal scale out clustering
- D. Apply OBIEE Clustering option
- E. Use Installer to affect Horizontal scale out of an existing instance
Answer: D,E
Explanation:
Explanation/Reference:
Horizonal Scaleout of System Components
* Used for adding additional managed servers (Java components) and
system components to an existing cluster
* Used for scalability and failover
* Set up via the Universal Installer > Scale Out BI System option
NEW QUESTION # 26
Which option describes how OBIEE Integrates with Planning?
- A. OBIEE provides complete access to all Planning data through the Analytic Data Model (ADM) layer.
- B. OBIEEintegrates with Planning directly through relational database access.
- C. Planning is not a supported OBIEE source.
- D. OBIEE primarily accesses Planning using standard Essbase integration techniques.
Answer: A,D
Explanation:
A:
*Combining Relational and OLAP Data Sources: Oracle's Common Enterprise Information Model allows users to combine data from a relational system and an OLAP source in a single calculation.
For example, a user can compare sales forecasts from an Oracle CRM System with budget data from an Oracle Essbase planning application. To clients of the Common Enterprise Information Model, the forecast and budget data appear to be from the same logical source.
*The Essbase server provides advanced multi-user read and write capabilities, including data
update and multi-user recalculation. Business users with front-end tools can write data back to a
server and recalculate the data on a server using calculation scripts-key functionality to support
sophisticated modeling and planning applications.
*Using aggregate storage, Essbase serves a wide range of analytic needs-financial analysis,
planning, budgeting, sales analysis, marketing analysis, supply-chain analysis, and profitability
analytics-all from a single analytic infrastructure.
B:
Note: The Analytic Data Model (ADM) is an API used to access OLAP data and metadata. ADM is
similar to JDBC, providing a single common API that hides most differences between OLAP data
sources.
Note 2: Data model for business intelligence The most important component of business intelligence is the concept of 'data model'. data model determinde what kind of analysis that end user could do with the data. It is also an independant concept that could span across different vendor 's product.
Unlike data model of the transaction system, the typical analytic data model is often denormalized and store extra data for analytic query and better query performance while transaction data model use is often normalized and optimized for a few data read and write, which is implemented by jointing many tables.
The most common used analytic data model in business intelligence is call the 'Star schema' data model.
With the Oracle business intelligence system, We could define star schema and dimension data model in the 'logical layer' in the admin tools. The data model in OBIEE could span different data source in physical layer, which means OBIEE have the capability of building one logical data model which is actually connect to different database in the backend
NEW QUESTION # 27
An organization has re-implemented one of its systems but has not moved history. One database has data for all years up to 2010 and the other has data for years from 2011 to the present. The organization needs data from the years 2010 and 2011 on a single report. How can you model this in the RPD?
- A. By creating joins in the physical model so it looks like a single table
- B. By creating two logical table sources and checking the "This Source should be combined with other sources at this level" box leaving the Fragmentation content area blank.
- C. By creating two Logical Fact Tables for each database
- D. By creating one logical table sources and checking the "This Source should be combined with other sources at this level" box
- E. By creating two logical table sources, that specify in Content tab using the Fragmentation content areas to specify the years for each source
Answer: E
Explanation:
Note: This source should be combined with other sources at this level (check box)
Description: Check this box when data sources at the same level of aggregation do not contain
overlapping information. In this situation, all sources must be combined to get a complete picture
of information at this level of aggregation.
Note 2: To use a source correctly, the Analytics Server has to know what each source contains in
terms of the business model. Therefore, you need to define aggregation content for each logical
table source of a fact table. The aggregation content rule defines at what level of granularity the data is stored in this fact table.
Use the Content tab of the Logical Table Source dialog box to define any aggregate table content definitions, fragmented table definitions for the source, and Where clauses (if you want to limit the number of rows returned).
Reference: Siebel Business Analytics Server Administration Guide > Creating and Administering the Business Model and Mapping Layer in a Repository > Creating and Administering Logical Table Sources (Mappings) > Defining Content of Logical Table Sources
NEW QUESTION # 28
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