1.
BusinessObjects is based on enterprise...
Correct Answer
B. Software
Explanation
BusinessObjects is a software, not an app, antivirus, or mechanical tool. It is a business intelligence platform that helps organizations analyze and visualize data to make informed decisions. It allows users to create interactive reports, dashboards, and data visualizations, providing insights into various aspects of the business. As a software, BusinessObjects offers a range of features and functionalities to support data analysis and reporting needs in an enterprise setting.
2.
Which of these is one of the components?
Correct Answer
A. Performance management
Explanation
Performance management is one of the components being referred to in the question. It is a process that involves setting goals, assessing employee performance, providing feedback, and implementing strategies to improve performance. This component focuses on optimizing individual and organizational performance by aligning goals, measuring progress, and providing support and development opportunities.
3.
Which of these is a BusinessObjects entity?
Correct Answer
B. Employer purchase order
Explanation
An employer purchase order is a specific type of document used in business transactions. It is a formal request made by an employer to a vendor to purchase goods or services. This document contains information such as the quantity, description, and price of the items or services requested. In the context of BusinessObjects, an employer purchase order can be considered as an entity because it represents a distinct and identifiable object within the system that is used for business purposes.
4.
What other things can BusinessObjects be use for?
Correct Answer
C. Transporting
5.
Where, majorly, does the BO store data using semantic layers?
Correct Answer
A. Centrally
Explanation
The BO stores data using semantic layers centrally. This means that the data is stored in a centralized location, allowing for easier access and management. Storing data centrally also ensures consistency and accuracy across different systems and applications that use the data. This approach enables efficient data analysis and reporting, as well as better data governance and security.
6.
BusinessObjects was acquired by SAP in what year?
Correct Answer
C. 2007
Explanation
In 2007, SAP acquired BusinessObjects.
7.
Who founded the BusinessObjects company in 1990?
Correct Answer
A. Bernard Liautaud
Explanation
Bernard Liautaud is the correct answer because he founded the BusinessObjects company in 1990.
8.
What does a universe contain?
Correct Answer
B. Semantic Layers
Explanation
A universe contains semantic layers. Semantic layers are a way to organize and structure data in a business intelligence system. They provide a logical view of the data by grouping related tables and fields together. Semantic layers make it easier for users to access and analyze data without needing to understand the underlying database structure. They act as an abstraction layer, simplifying the complexity of the data and making it more user-friendly.
9.
Batch processing in BusinessObjects is used in:
Correct Answer
A. Scheduling of report
Explanation
Batch processing in BusinessObjects is used for scheduling reports. This means that multiple reports can be scheduled to run at specific times or intervals without requiring manual intervention. This allows for efficient and automated generation of reports, saving time and effort for users. By setting up batch processing, reports can be generated and distributed to the appropriate recipients automatically, ensuring timely delivery of information.
10.
When one to analyze detail data, what technique will be used?
Correct Answer
B. Slicing and dicing
Explanation
Slicing and dicing is a technique used to analyze detailed data. It involves breaking down the data into smaller subsets or segments (slicing) and then examining and manipulating those subsets to gain insights (dicing). This technique allows for a more focused and granular analysis of data, enabling the identification of patterns, trends, and relationships that may not be apparent when looking at the data as a whole. Sorting and arranging, typing and summarizing, and analyzing and selecting are not specifically related to the process of analyzing detailed data.