OBIEE Online Quiz
Following quiz provides Multiple Choice Questions (MCQs) related to OBIEE. You will have to read all the given answers and click over the correct answer. If you are not sure about the answer then you can check the answer using Show Answer button. You can use Next Quiz button to check new set of questions in the quiz.
Q 1 - Which of the following component types are responsible to run OBIEE system as compared to components used for creating interactive dashboards?
Answer : B
Explanation
Server components are responsible to run OBIEE system and client components interact with user to create reports and dashboards.
Q 2 - Which of the following contains all metadata of the BI Server and is managed through the administration tool?
Answer : B
Q 3 - Which of the following layer of OBIEE repository contains information about data sources and is responsible for importing metadata from databases?
Answer : A
Q 4 - Dimensions derived from fact table and doesn’t include in dimension table are known as?
Answer : C
Q 5 - Which of the following is faster method of creating Logical tables/objects in BMM layer?
A - Dragging Physical tables to Business Model
Answer : A
Explanation
Dragging Physical tables to Business Model which is the fastest way of defining Logical tables.
Q 6 - Which of the following can be used for performance optimization when table size is too large?
Answer : C
Explanation
You can also define a table as driving table from drop down list in Joining Manager, this is used for performance optimization when table size is too large.
Q 9 - Session variables are similar to dynamic repository variables and that they obtain their values from initialization blocks?
Answer : A
Q 10 - Which of the following Prompts enables you to build very specific value prompts to either stand alone on the dashboard or analysis or to expand or refine existing dashboard and analysis filters?
Answer : C
Explanation
A column prompt is the most common and flexible prompt type. A column prompt enables you to build very specific value prompts to either stand alone on the dashboard or analysis or to expand or refine existing dashboard and analysis filters. Column prompts can be created for hierarchical, measure, or attribute columns at the analysis or dashboard level.
