CS614 Midterm Online Quiz

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CS614-Midterm

1 / 50

DSS queries do not involve a primary key

2 / 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.

3 / 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:

4 / 50

Which statement is true for De-Normalization?

5 / 50

Suppose the amount of data recorded in an organization is doubled every year. This increase is __________ .

6 / 50

The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.

7 / 50

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

8 / 50

Non uniform distribution, when the data is distributed across the processors, is called ______.

9 / 50

The need to synchronize data upon update is called

10 / 50

NUMA stands for __________

11 / 50

A ________ dimension is a collection of random transactional codes, flags and/text attributes that are unrelated to any particular dimension. The ______ dimension is simply a structure that provides a convenient place to store the ______ attributes.

12 / 50

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

13 / 50

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

14 / 50

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

15 / 50

Pakistan is one of the five major ________ countries in the world.

16 / 50

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

17 / 50

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

18 / 50

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

19 / 50

De-Normalization normally speeds up

20 / 50

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

21 / 50

_____ contributes to an under-utilization of valuable and expensive historical data, and inevitably results in a limitedcapability to provide decision support and analysis.

22 / 50

Grain is the ________ level of data stored in the warehouse.

23 / 50

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

24 / 50

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

25 / 50

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

26 / 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...

27 / 50

Pre-computed _______ can solve performance problems

28 / 50

Virtual cube is used to query two similar cubes by creating a third “virtual” cube by a join between two cubes.

29 / 50

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

30 / 50

In _________ system, the contents change with time. :

31 / 50

Normalization effects performance

32 / 50

DTS allows us to connect through any data source or destination that is supported by ____________

33 / 50

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

34 / 50

in agriculture extension is that pest population beyond which the benefit of spraying outweighs levels

35 / 50

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

36 / 50

The performance in a MOLAP cube comes from the O(1) look-up time for the array data structure.

37 / 50

When performing objective assessments, companies follow a set of principles to develop metrics specific to their needs, there is hard to have “one size fits all” approach. Which of the following statement represents the pervasive functional forms?

38 / 50

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

39 / 50

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

40 / 50

Analytical processing uses ____________ , instead of record level access.

41 / 50

Collapsing tables can be done on the ___________ relationships

42 / 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___________

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

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

45 / 50

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

46 / 50

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

47 / 50

Pre-computed _______ can solve performance problems

48 / 50

 ________ gives total view of an organization

49 / 50

Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.

50 / 50

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

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