CS614 Midterm Online Quiz

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CS614-Midterm

1 / 50

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

2 / 50

The goal of star schema design is to simplify ________

3 / 50

_________ breaks a table into multiple tables based upon common column values.

4 / 50

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

5 / 50

As apposed to the out come of classification, estimation deal with ____________ valued outcome.

6 / 50

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

7 / 50

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

8 / 50

Pre-computed _______ can solve performance problems

9 / 50

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

10 / 50

Focusing on data warehouse delivery only often end up _________.

11 / 50

Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.

12 / 50

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

13 / 50

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

14 / 50

Normalization effects performance

15 / 50

To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?

16 / 50

In _________ system, the contents change with time. :

17 / 50

Data Transformation Services (DTS) provide a set of _____ that lets you extract, transform, and consolidate data from disparate sources into single or multiple destinations supported by DTS connectivity.

18 / 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.

19 / 50

_________ breaks a table into multiple tables based upon common column values.

20 / 50

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

21 / 50

The _________ is only a small part in realizing the true business value buried within the mountain of data collected and stored within organizations business systems and operational databases.

22 / 50

Execution can be completed successfully or it may be stopped due to some error. In case of successful completion of execution all the transactions will be ___________

23 / 50

Which statement is true for De-Normalization?

24 / 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.

25 / 50

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

26 / 50

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

27 / 50

The users of data warehouse are knowledge workers in other words they are _______in the organization.

28 / 50

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

29 / 50

_____________ is a process which involves gathering of information about column through execution of certain queries with intention to identify erroneous records.

30 / 50

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

31 / 50

Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.

32 / 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 ____________.

33 / 50

_______________, if too big and does not fit into memory, will be expensive when used to find a record by given key.

34 / 50

: The goal of ___________ is to look at as few blocks as possible to find the matching records(s).

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 smaller the portion of the program that must be executed __________, the greater the scalability of the computation.

36 / 50

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

37 / 50

De-Normalization normally speeds up

38 / 50

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

39 / 50

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

40 / 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:

41 / 50

Pre-computed _______ can solve performance problems

42 / 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.

43 / 50

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

44 / 50

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

45 / 50

We must try to find the one access tool that will handle all the needs of their users.

46 / 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.

47 / 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 _______.

48 / 50

Analytical processing uses ____________ , instead of record level access.

49 / 50

Slice and Dice is changing the view of the data.

50 / 50

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

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