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1z0-591 Valid Exam Camp - Pass Guaranteed Quiz 2025 Oracle 1z0-591 First-grade Valid Exam Tutorial

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Oracle 1z0-591 Certification Exam covers a range of topics, including Oracle BI Architecture, Oracle BI Security, Oracle BI Server, Oracle BI Answers and Dashboards, Oracle BI Administration, Oracle BI Publisher, and Oracle BI Mobile. 1z0-591 exam is an ideal choice for professionals who want to enhance their career prospects in the field of business intelligence and analytics. A certification in Oracle Business Intelligence Foundation Suite 11g Essentials demonstrates a candidate's ability to effectively implement and manage Oracle Business Intelligence solutions for their organization.

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Oracle 1Z1-591 exam is designed for professionals who have a good understanding of the Oracle Business Intelligence Foundation Suite 11g and can work with the software's essential features. 1z0-591 Exam consists of 70 multiple-choice questions and lasts for 120 minutes. Candidates must attain a score of 63% or higher to pass the exam and receive an Oracle certification.

Oracle Business Intelligence Foundation Suite 11g Essentials Sample Questions (Q26-Q31):

NEW QUESTION # 26
An integrated BI tools business case can be built around which three options?

A. Scalability
B. Development efficiency
C. Cost Savings
D. Fault tolerance

Answer: A,B,C

NEW QUESTION # 27
When designing a Star Schema, which option does not apply?

A. Dimensional tables have one attribute primary key as Product_ID for products.
B. Fact table is joined to the related dimensional tables.
C. Dimensional tables are normalized.
D. The fact has several foreign keys that are primary keys in the dimensional table
E. The facts are quantifiable.

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 # 28
OBIEE 11g authentication of users is performed by which two components listed below?

A. External directories such as Active Directory using WebLogic and Fusion Middleware's Oracle Platform Security Services framework
B. Embedded WebLogic LDAP server
C. BI Presentation Services
D. Repository file (rpd)

Answer: A,B

NEW QUESTION # 29
What are the two disadvantages of implementing Query Caching?

A. Needs a lot of administrators' time
B. Storage space for cache
C. Reduction in BI server processing time
D. Cache results being old
E. Increased network traffic

Answer: B,D

Explanation:
Explanation
B: The problem with caching of any kind is how to deal with stale data. How you decide to deal with this depends on how time critical your business intelligence queries happen to be. OBIEE provides a wide variety of mechanisms for dealing with stale data. The cache can be purged automatically at intervals. Caching can be enabled selectively for individual physical tables, so that data in a frequently updated table is never cached.
OBIEE provides a set of ODBC procedures that can be called when ETL processes complete to programmatically purge designated tables. But, by far the best way to selectively purge the cache is to use an event polling table. This table is populated by the client database whenever changes are made to any table (by an ETL process for a data warehouse or by a table-based trigger for an OLTP database). At specified intervals the BI Server polls this event polling table and deletes from its cache any query results that are dependent on the changed data.

NEW QUESTION # 30
If a customer is planning on building a data warehouse, how would you describe data warehousing to the customer?

A. The data in the data warehouse describes events and statuses of business processes, products and services, goals and organizational units, and generally mirrors every aspect of the structure and behavior of the organization.
B. Application based data warehouses can be bought off the shelf and used without any tweaking.
C. Data warehouse projects are usually implemented within two weeks.
D. Data warehouses can only be based on multidimensional data modeling.

Answer: A

Explanation:
A data warehouse is a database used for reporting and data analysis. It is a central repository of data which is created by integrating data from multiple disparate sources. Data warehouses store current as well as historical data and are commonly used for creating trending reports for senior management reporting such as annual and quarterly comparisons.

NEW QUESTION # 31
......

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