CS614 Midterm Online Quiz

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CS614-Midterm

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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.

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

3 / 50

The need to synchronize data upon update is called

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

5 / 50

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

6 / 50

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

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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 _______.

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

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The goal of star schema design is to simplify ________

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

11 / 50

Horizontal splitting breaks a table into multiple tables based upon_______

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Collapsing tables can be done on the ___________ relationships

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Analytical processing uses ____________ , instead of record level access.

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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 ___________

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

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

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The goal of star schema design is to simplify ________

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

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

21 / 50

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

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De-Normalization normally speeds up

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

24 / 50

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

25 / 50

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

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

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

28 / 50

 ________ gives total view of an organization

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For a smooth DWH implementation we must be a technologist.

30 / 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.

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

32 / 50

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

33 / 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.

34 / 50

During the application specification activity, we also must give consideration to the organization of the applications.

35 / 50

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

36 / 50

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

37 / 50

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

38 / 50

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

39 / 50

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

40 / 50

Normalization effects performance

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

42 / 50

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

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

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

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

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

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

49 / 50

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.

50 / 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.

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