CS614 Midterm Online Quiz

0%

CS614-Midterm

1 / 50

The need to synchronize data upon update is called

2 / 50

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

3 / 50

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

4 / 50

If „M‟ rows from table-A match the conditions in the query then table-B is accessed „M‟ times. Suppose table-B has an index on the join column. If „a‟ I/Os are required to read the data block for each scan and „b‟ I/Os for each data block then the total cost of accessing table-B is _____________ logical I/Os approximately.

5 / 50

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

6 / 50

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

7 / 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.

8 / 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.

9 / 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?

10 / 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 _______.

11 / 50

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

12 / 50

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

13 / 50

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

14 / 50

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

15 / 50

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

16 / 50

The goal of star schema design is to simplify ________

17 / 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 ____________.

18 / 50

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

19 / 50

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

20 / 50

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

21 / 50

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

22 / 50

De-Normalization normally speeds up

23 / 50

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

24 / 50

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

25 / 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?

26 / 50

If every key in the data file is represented in the index file then index is :

27 / 50

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

28 / 50

A single database, couldn‟t serve both operational high performance transaction processing and DSS, analytical processing, all at the same time.

29 / 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.

30 / 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.

31 / 50

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

32 / 50

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

33 / 50

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

34 / 50

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

35 / 50

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

36 / 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.

37 / 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?

38 / 50

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

39 / 50

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

40 / 50

NUMA stands for __________

41 / 50

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

42 / 50

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

43 / 50

_______ is an application of information and data.

44 / 50

Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.

45 / 50

5 million bales.

46 / 50

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

47 / 50

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

48 / 50

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

49 / 50

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

50 / 50

To identify the __________________ required we need to perform data profiling

Your score is

The average score is 0%

0%

Qunoot e Nazilah
Dua e Hajat
4 Qul
6 Kalma
Dua-e-Akasha
Darood Akbar
Surah Fatiha
Dua-e-Ganj Ul Arsh
Dua-e-Jamilah
Ayat-ul-Kursi