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最新的 Java and Middleware 1Z1-591 免費考試真題 (Q66-Q71):

問題 #66
In the Oracle Data Warehouse Reference Architecture, which term is not a layer in the data warehouse?

A. Presentation Data Layer
B. Access and Performance Layer
C. Staging Data Layer
D. Master Data Layer

答案：A

問題 #67
Point-and-click generation of case statement logic can be accessed via which option?

A. Column Formula -> Bins tab
B. Compound Layout
C. Subject Area metrics
D. Column Properties -> Conditional Format tab
E. Advanced Tab

答案：A

解題說明：
The "Edit Column Formula" dialog box has a second,
very tiny tab called, "Bins." You can use this tab to have OBIEE
build a CASE statement for you in a formula (you can also create
a CASE statement yourself by using one of the functions that
appears under "Expressions" if you want). A CASE statement is a
lot like an IF-THEN-ELSE statement, except that it's a little easier
to read when you have multiple options. Basically, it puts values
in different buckets that you define.
Note:
Figure:

問題 #68
Oracle BI Server cache setup information is configured by using Enterprise Manager Fusion Middleware control. Which component stores the configuration Information?

A. Cache table inOBIEErepository
B. Instanceconfig.xml
C. WebCatalogue
D. NQSConfig.ini

答案：D

解題說明：
NQSConfig.ini is the main configuration file of Bi Server and contains a lot of parameters.
The parameters in the Query Result Cache Section provide configuration information for Oracle BI Server caching. The query cache is enabled by default. After deciding on a strategy for flushing outdated entries, you should configure the cache storage parameters in Fusion Middleware Control and in the NQSConfig.INI file.

問題 #69
Select the scenario in which block storage must be used instead of aggregate storage.

A. Extremely sparse data sets
B. Millions of members in the outline
C. Incremental data loading
D. Top - down planning

答案：D

解題說明：
Explanation/Reference:
BSO is preferred to ASO in the following scenarios:
* Top-down planning and allocation (Sales Forecasting)
* Cost Allocations across products and customers (Profitability Analysis)
* Currency conversion, inter-company eliminations(Financial consolidations) Incorrect answers:
A: Aggregate Storage: When loading data into an aggregate storage database, you can replace the contents of the database or the contents of all incremental data slices in the database.
C: Aggregate Storage: Architecture that supports rapid aggregation, optimized to support high dimensionality and sparse data
D: ASO cubes are designed to provide rapid aggregation capabilities for much larger Essbase outlines, typically supporting many more (and larger) dimensions.
Note: Aggregate storage databases enable dramatic improvements in both database aggregation time and dimensional scalability. The aggregate storage kernel is an alternative to the block storage kernel.
Aggregate storage databases typically address read-only, "rack and stack" applications that have large dimensionality, such as the following applications:
Customer analysis. Data is analyzed from any dimension, and there are potentially millions of customers.
Procurement analysis. Many products are tracked across many vendors.
Logistics analysis. Near real-time updates of product shipments are provided.

問題 #70
A customer needs to do a cross database join between two tables where, one of the tables has a small number of values and the other has a large number of values. How can you optimize the way the BI Server processes the query?

A. By creating your logical join by using the Joins Manager
B. By specifying a many to one join between the tables with the small and large numbers of values
C. By specifying a driving table
D. By specifying a one-to-many join between the tables with the small and large numbers of values
E. By creating your joins by using the Business Model Diagram

答案：C

解題說明：
Explanation
You can specify a Driving table parameter in a complex join.
Driving tables are for use in optimizing the manner in which the Oracle BI Server processes cross-database joins when one table is very small and the other table is very large.
The BI Server will query the driving table (the small one) and will get a list of values. The BI Server will then generate a second SQL using a parameterized IN list with the values from the first query.
Specifying driving tables leads to query optimization only when the number of rows being selected from the driving table is much smaller than the number of rows in the table to which it is being joined.

問題 #71
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1Z1-591參考資料：Oracle Business Intelligence Foundation Suite 11g Essentials可靠的認證資源

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