CS614 Midterm Online Quiz

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CS614-Midterm

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The automated, prospective analyses offered by data mining move beyond the analysis of past events provided by respective tools typical of ___________.

2 / 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 ____________.

3 / 50

Horizontal splitting breaks a table into multiple tables based upon_______

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For a smooth DWH implementation we must be a technologist.

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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.

6 / 50

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

7 / 50

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

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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...

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Taken jointly, the extract programs or naturally evolving systems formed a spider web, also known as

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

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

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All data is ______________ of something real. I An Abstraction II A Representation Which of the following option is true?

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

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

15 / 50

Analytical processing uses ____________ , instead of record level access.

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NUMA stands for __________

17 / 50

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

18 / 50

Focusing on data warehouse delivery only often end up _________.

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The goal of star schema design is to simplify ________

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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:

21 / 50

The goal of ______is to look at as few block as possible to find the matching records.

22 / 50

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

23 / 50

If someone told you that he had a good model to predict customer usage, the first thing you might try would be to ask him to apply his model to your customer _______, where you already knew the answer.

24 / 50

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

25 / 50

The key idea behind ___________ is to take a big task and break it into subtasks that can be processed concurrently on a stream of data inputs in multiple, overlapping stages of execution.

26 / 50

With data mining, the best way to accomplish this is by setting aside some of your data in a vault to isolate it from the mining process; once the mining is complete, the results can be tested against the isolated data to confirm the model's _______.

27 / 50

Data mining derives its name from the similarities between searching for valuable business information in a large database, for example, finding linked products in gigabytes of store scanner data, and mining a mountain for a _________ of valuable ore.

28 / 50

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

29 / 50

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

30 / 50

The STAR schema used for data design is a __________ consisting of fact and dimension tables. :

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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.

32 / 50

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

33 / 50

Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.

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

35 / 50

To judge effectiveness we perform data profiling twice.

36 / 50

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

37 / 50

Pre-join technique is used to avoid

38 / 50

Normalization effects performance

39 / 50

____________ in agriculture extension is that pest population beyond which the benefit of spraying outweighs its cost.

40 / 50

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

41 / 50

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

42 / 50

.______ is class of Decision Support Environment.

43 / 50

Rearranging the grouping of source data, delivering it to the destination database, and ensuring the quality of data are crucial to the process of loading the data warehouse. Data ____________ is vitally important to the overall health of a warehouse project. 1. Cleansing 2. Cleaning 3. Scrubbing Which of the following options is true?

44 / 50

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

45 / 50

_______ is an application of information and data.

46 / 50

5 million bales.

47 / 50

Analytical processing uses ____________ , instead of record level access.

48 / 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.

49 / 50

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

50 / 50

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

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