CS614 Midterm Online Quiz

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CS614-Midterm

1 / 50

To identify the __________________ required we need to perform data profiling

2 / 50

In horizontal splitting, we split a relation into multiple tables on the basis of

3 / 50

Pre-join technique is used to avoid

4 / 50

Relational databases allow you to navigate the data in ____________ that is appropriate using the primary, foreign key structure within the data model.

5 / 50

The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by _____________ tools typical of decision support systems.

6 / 50

If some error occurs, execution will be terminated abnormally and all transactions will be rolled back. In this case when we will access the database we will find it in the state that was before the ____________.

7 / 50

_____________, if fits into memory , costs only one disk I/O access to locate a record by given key.

8 / 50

In DWH project, it is assured that ___________ environment is similar to the production environment

9 / 50

Data mining evolve as mechanism to cater the limitations of _____ systems to deal massive data sets with high dimensionality, new data types, multiple heterogeneous data resources etc...

10 / 50

Many data warehouse project teams waste enormous amounts of time searching in vain for a _______.

11 / 50

If w is the window size and n is the size of data set, then the complexity of merging phase in BSN method is___________

12 / 50

A data warehouse implementation without an OLAP tool is always possible.

13 / 50

The divide & conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.

14 / 50

The purpose of the House of Quality technique is to reduce ______ types of risk.

15 / 50

Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.

16 / 50

Data mining evolve as a mechanism to cater the limitations of ________ systems to deal massive data sets with high dimensionality, new data types, multiple heterogeneous data resources etc.

17 / 50

NUMA stands for __________

18 / 50

Data mining is a/an ______ approach , where browsing through data using mining techniques may reveal something that might be of interest to the user as information that was unknown previously.

19 / 50

: An optimized structure which is built primarily for retrieval, with update being only a secondary consideration is

20 / 50

________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.

21 / 50

The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.

22 / 50

There are many variants of the traditional nested-loop join, if there is an index is exploited, then it is called……

23 / 50

For a given data set, to get a global view in un-supervised learning we use

24 / 50

For a DWH project, the key requirement are ________ and product experience.

25 / 50

Pre-computed _______ can solve performance problems

26 / 50

The goal of ideal parallel execution is to completely parallelize those parts of a computation that are not constrained by data dependencies. The smaller the portion of the program that must be executed __________, the greater the scalability of the computation.

27 / 50

In a traditional MIS system, there is an almost linear sequence of queries.

28 / 50

It is observed that every year the amount of data recorded in anorganization is

29 / 50

Change Data Capture is one of the challenging technical issues in _____________

30 / 50

Which statement is true for De-Normalization?

31 / 50

The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.

32 / 50

The growth of master files and magnetic tapes exploded around the mid- _______. :

33 / 50

Focusing on data warehouse delivery only often end up _________.

34 / 50

Companies collect and record their own operational data, but at the same time they also use reference data obtained from _______ sources such as codes, prices etc.

35 / 50

Ad-hoc access means to run such queries which are known already.

36 / 50

Analytical processing uses ____________ , instead of record level access.

37 / 50

The input to the data warehouse can come from OLTP or transactional system but not from other third party database.

38 / 50

Node of a B-Tree is stored in memory block and traversing a B-Tree involves ______ page faults.

39 / 50

Slice and Dice is changing the view of the data.

40 / 50

It is observed that every year the amount of data recorded in an organization :

41 / 50

During ETL process of an organization, suppose you have data which can be transformed using any of the transformation method. Which of the following strategy will be your choice for least complexity?

42 / 50

Multi-dimensional databases (MDDs) typically use ___________ formats to store pre-summarized cube structures.

43 / 50

The technique that is used to perform these feats in data mining modeling, and this act of model building is something that people have been doing for long time, certainly before the _______ of computers or data mining technology.

44 / 50

For good decision making, data should be integrated across the organization to cross the LoB (Line of Business). This is to give the total view of organization from:

45 / 50

Naturally Evolving architecture occurred when an organization had a _______ approach to handling the whole process of hardware and software architecture.

46 / 50

A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.

47 / 50

DOLAP allows download of “cube” structures to a desktop platform with the need for shared relational or cube server.

48 / 50

People that design and build the data warehouse must be capable of working across the organization at all levels

49 / 50

NUMA stands for __________

50 / 50

Data mining uses _________ algorithms to discover patterns and regularities in data.

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