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Welcome to the OLAP in the Data Warehouse MCQs Page

Dive deep into the fascinating world of OLAP in the Data Warehouse with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of OLAP in the Data Warehouse, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of OLAP in the Data Warehouse, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Warehousing and OLAP.

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Check out the MCQs below to embark on an enriching journey through OLAP in the Data Warehouse. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Warehousing and OLAP.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of OLAP in the Data Warehouse. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

OLAP in the Data Warehouse MCQs | Page 12 of 13

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Discuss
Answer: (c).To enable multidimensional analysis in the OLAP system Explanation:Data loading into the OLAP server is done to enable multidimensional analysis in the OLAP system.
Q112.
Which model is more suitable for an OLAP environment, depending on how basic data is stored?
Discuss
Answer: (c).Both ROLAP and MOLAP Explanation:The suitability of ROLAP or MOLAP depends on how basic data is stored, and both models have their applications.
Discuss
Answer: (d).Multidimensional view of the data Explanation:One of the characteristics of OLAP is a multidimensional view of the data.
Q114.
What provides a method for representing views with more than three dimensions in OLAP?
Discuss
Answer: (c).Hypercubes Explanation:Hypercubes provide a method for representing views with more than three dimensions in OLAP.
Q115.
Which step in OLAP implementation involves the computation of data aggregation and derived data?
Discuss
Answer: (d).Computation of data aggregation and derived data Explanation:The computation of data aggregation and derived data is a step in OLAP implementation.
Discuss
Answer: (a).Relational and Multidimensional Online Analytical Processing Explanation:ROLAP stands for Relational Online Analytical Processing, and MOLAP stands for Multidimensional Online Analytical Processing.
Discuss
Answer: (c).Coddโ€™s initial twelve guidelines Explanation:OLAP tools are defined on the basis of Coddโ€™s initial twelve guidelines.
Discuss
Answer: (c).Because of its multidimensional analysis, fast access, and powerful calculations Explanation:OLAP is considered critical due to its multidimensional analysis, fast access, and powerful calculations.
Q119.
OLAP facilitates interactive queries and complex uses.
Discuss
Answer: (a).True Explanation:OLAP (Online Analytical Processing) facilitates interactive queries and supports complex analytical uses.
Q120.
A hypercube can be represented by the physical cube.
Discuss
Answer: (b).False Explanation:A hypercube is a concept used in OLAP and may not be physically represented by a cube. It can have more than three dimensions.

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