CS614 Midterm Online Quiz

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CS614-Midterm

1 / 50

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

2 / 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 ___________

3 / 50

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

4 / 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.

5 / 50

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

6 / 50

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

7 / 50

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

8 / 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...

9 / 50

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

10 / 50

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

11 / 50

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

12 / 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.

13 / 50

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

14 / 50

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

15 / 50

The need to synchronize data upon update is called

16 / 50

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

17 / 50

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

18 / 50

Collapsing tables can be done on the ___________ relationships

19 / 50

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

20 / 50

30.Data Warehouse is about taking / colleting data from different ________ sources:

21 / 50

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

22 / 50

For a relation to be in 4NF it must be:-

23 / 50

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

24 / 50

De-Normalization normally speeds up

25 / 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.

26 / 50

De-Normalization normally speeds up

27 / 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.

28 / 50

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

29 / 50

5 million bales.

30 / 50

There are many variants of the traditional nested-loop join. If the index is built as part of the query plan and subsequently dropped, it is called

31 / 50

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

32 / 50

B-Tree is used as an index to provide access to records

33 / 50

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

34 / 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.

35 / 50

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

36 / 50

To judge effectiveness we perform data profiling twice.

37 / 50

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

38 / 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.

39 / 50

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

40 / 50

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

41 / 50

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

42 / 50

In _________ system, the contents change with time. :

43 / 50

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

44 / 50

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

45 / 50

DSS queries do not involve a primary key

46 / 50

Transactional fact tables do not have records for events that do not occur. These are called

47 / 50

Horizontal splitting breaks a table into multiple tables based upon_______

48 / 50

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

49 / 50

The goal of star schema design is to simplify ________

50 / 50

To identify the __________________ required we need to perform data profiling

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