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Oracle 1Z1-591 Web-Based Practice Exam Features
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Passing the Oracle 1Z1-591 certification exam is no easy feat, but it is possible with the right preparation and knowledge. Learning the fundamentals of Oracle Business Intelligence Foundation Suite 11g, the best practices, and the newest features is key for a successful exam pass. To prepare for the exam, candidates can take training courses and seek guidance from exam preparation resources such as Oracle's exam study guides, certification forums, and practice tests. With the right approach, candidates can pass the Oracle 1Z1-591 Certification Exam and become an expert in Oracle Business Intelligence Foundation Suite 11g.
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Oracle Business Intelligence Foundation Suite 11g Essentials Sample Questions (Q58-Q63):
NEW QUESTION # 58
When creating a new dimensional hierarchy in the BI Administration tool, right click the dimension, then select "New Object" What must be selected next?
- A. Dynamic Key
- B. ParentLevel
- C. ChildLevel
- D. Logical Key
Answer: B
Explanation:
Steps to Create a Dimension Hierarchy - >Create a dimension object.Add a parent-level object.Add child-level objects.Determine number of elements.Specify level columns.Create level keys.Create a level-based measure.Create additional level-based measures.Create share measures.Create rank measures.Add measures to Presentation layer.Test share and rank measures.
NEW QUESTION # 59
When designing a Star Schema, which option does not apply?
- A. Fact table is joined to the related dimensional tables.
- B. The facts are quantifiable.
- C. Dimensional tables are normalized.
- D. The fact has several foreign keys that are primary keys in the dimensional table
- E. Dimensional tables have one attribute primary key as Product_ID for products.
Answer: C
Explanation:
In a Star Schema the dimensional tables does not need to be normalized.
A Snowflake Schema is a modified Star Schema that has normalized the dimensional tables.
NEW QUESTION # 60
When creating Aggregate tables in the OBI repository by using the Aggregate Persistence Wizard, which two statements are true?
- A. The analyst must first write DML (Data Manipulation Language) scripts to create the aggregate table.
- B. Job Manager can be used to run the Aggregate Persistence script.
- C. The Aggregate Persistence Wizard enables you to automate the creation of physical aggregate tables and their corresponding objects in the repository.
- D. The Extraction Transformation and Loading process creates the aggregate tables.
Answer: B,C
Explanation:
B: The Aggregate Persistence Wizard automates the creation and initial population of aggregates, persists them in a back-end database and configures the BI Server metadata layer so that they're used when appropriate.
C: The wizard then shows me a preview of the script it's going to generate, and asks me if I want to create any more summaries. Here's how the preview script looks - note that it's not SQL, it's a script language that the BI Server understands and uses as the specification for an aggregation job, which it then turns into separate CREATE TABLE, INSERT ... SELECT and so on SQL statements, "optimized" for the particular back-end database platform.
Script example:
"ag_Items"
for "Seminar - Complete"."Items"("Quantity")
at levels ("Seminar - Complete"."Customerdim"."State", "Seminar - Complete"."Productdim"."Category",
"Seminar - Complete"."Timedim"."Year")
using connection pool "custdw"."CUSTDW_Pool"
in "custdw".."CUSTDW";
NEW QUESTION # 61
There are two aggregate tables that are available for query. How would they be mapped into the logical data model so queries can use them?
- A. By opening the two logical Table Source dialog boxes and mapping the appropriate levels in the Content tab
- B. Both Aand B
- C. By creating two new logical tables sources
- D. By creating one new LogicalTableSource
Answer: A
Explanation:
B:Example:
1.Configure the new source table to have the 'logical level' under the content set to 'Countries' (the
summarized level)
b
2.Do the similiar setting for dimension table
Now when user query the data at 'Counties' level, the query will be redirected to these summary table instead of the more detail fact table
Note: Aggregate tables are Physical tables that store Aggregates of measures across multiple levels of a Hierarchy.
NEW QUESTION # 62
Why is it necessary to join multiple source tables to a single dimension?
- A. Because transactional source systems are often denormalized
- B. Because a single source table often contains all the dimensions needed
- C. Because transactional source systems are often normalized
- D. Because the dimensions tables are built in the transactional systems
Answer: A
Explanation:
Denormalized data in the transactional system could be divided into different tables to increase performance.
NEW QUESTION # 63
......
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