CS614-Midterm
1 / 50
Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.
2 / 50
For a DWH project, the key requirement are ________ and product experience.
3 / 50
It is observed that every year the amount of data recorded in an organization :
4 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
5 / 50
Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.
6 / 50
Which statement is true for De-Normalization?
7 / 50
Grain is the ________ level of data stored in the warehouse.
8 / 50
In DWH project, it is assured that ___________ environment is similar to the production environment
9 / 50
_________ breaks a table into multiple tables based upon common column values.
10 / 50
NUMA stands for __________
11 / 50
In horizontal splitting, we split a relation into multiple tables on the basis of
12 / 50
De-Normalization normally speeds up
13 / 50
: The goal of ___________ is to look at as few blocks as possible to find the matching records(s).
14 / 50
Pre-computed _______ can solve performance problems
15 / 50
Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.
16 / 50
The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.
17 / 50
The goal of star schema design is to simplify ________
18 / 50
Pakistan is one of the five major ________ countries in the world.
19 / 50
Slice and Dice is changing the view of the data.
20 / 50
_____modeling technique is more appropriate for data warehouses.
21 / 50
People that design and build the data warehouse must be capable of working across the organization at all levels
22 / 50
____________ in agriculture extension is that pest population beyond which the benefit of spraying outweighs its cost.
23 / 50
To judge effectiveness we perform data profiling twice.
24 / 50
The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by _____________ tools typical of decision support systems.
25 / 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.
26 / 50
B-Tree is used as an index to provide access to records
27 / 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 ___________
28 / 50
A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
29 / 50
To identify the __________________ required we need to perform data profiling
30 / 50
_____________, if fits into memory , costs only one disk I/O access to locate a record by given key.
31 / 50
________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.
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The STAR schema used for data design is a __________ consisting of fact and dimension tables. :
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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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_______________, if fits into memory, costs only one disk I/O access to locate a record by given key.
35 / 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?
36 / 50
Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.
37 / 50
DTS allows us to connect through any data source or destination that is supported by ____________
38 / 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.
39 / 50
Analytical processing uses ____________ , instead of record level access.
40 / 50
The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.
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_______ is an application of information and data.
44 / 50
The divide & conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.
45 / 50
For a given data set, to get a global view in un-supervised learning we use
46 / 50
All data is ______________ of something real. I An Abstraction II A Representation Which of the following option is true?
47 / 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?
48 / 50
49 / 50
________ gives total view of an organization
50 / 50
Change Data Capture is one of the challenging technical issues in _____________
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