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This section includes InterviewSolutions, each offering curated multiple-choice questions to sharpen your knowledge and support exam preparation. Choose a topic below to get started.

1.

Why is Auto-regression used in forecasting used on Cognos platform?

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2.

What is the use of PowerPlay Web viewer in Cognos?

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3.

What is the function of Model Design Accelerator?

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4.

Explain the different types of views used in Cognos.

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5.

How is Cognos model organization works?

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6.

What are the different kinds of panes included in Cognos?

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7.

What is the importance of having monitor service in Cognos?

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8.

Why are Meta service important then other services?

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9.

What are the different types of important services used in Cognos?

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10.

What is the deployment requirements used in Cognos?

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11.

What are the considerations regarding performance kept in mind while setting up cognos?

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12.

What are the main services provided by application tier?

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13.

What is the difference between low affinity and high affinity connections?

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14.

What is the information present in the Cognos configuration file?

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15.

What is the function of Cognos Dispatcher?

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16.

What are the components required for the application tier?

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17.

What are the roles defined by Cognos Platform?

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18.

What are the components used in Web Tier?

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19.

What are the services provided in Cognos 8?

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20.

What is the enterprise class platform architecture of Cognos 8?

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21.

What is the difference between data warehouse and operational systems?

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22.

What is the function of surrogate key in data warehousing?

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23.

What are the different types of schemas used in Data warehousing?

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24.

What are the different types of SCD's used in data warehousing?

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25.

What is the function of ETL when used in data warehousing?

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26.

What is the difference between OLTP and OLAP?

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27.

What are the steps involved in designing a fact table?

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28.

What are the different types of fact tables used in data warehousing?

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29.

What are the different ways to represent the loading of Dimension tables?

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30.

What are the stages that are required in Data warehousing?

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31.

Why facts table is useful in representing the data?

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32.

Why is dimensional normalization not required?

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33.

What are the steps involved in creating dimensional modeling process?

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34.

What is the use of dimensional modeling in data warehousing?

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35.

Why is Business Intelligence (BI) important in data warehousing?

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36.

What are the key features of chameleon that separates it from other algorithms?

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37.

Why is chameleon method used in data warehouse?

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38.

What is the difference between agglomerative and divisive Hierarchical Clustering?

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39.

What are the different models used in cluster analysis?

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40.

What is the purpose of cluster analysis in Data Warehousing?

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