CS614-Midterm
1 / 50
Naturally Evolving architecture occurred when an organization had a _______ approach to handling the whole process of hardware and software architecture.
2 / 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 ____________.
3 / 50
________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.
4 / 50
Focusing on data warehouse delivery only often end up _________.
5 / 50
Virtual cube is used to query two similar cubes by creating a third “virtual” cube by a join between two cubes.
6 / 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.
7 / 50
A data warehouse implementation without an OLAP tool is always possible.
8 / 50
Multi-dimensional databases (MDDs) typically use ___________ formats to store pre-summarized cube structures.
9 / 50
Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.
10 / 50
In horizontal splitting, we split a relation into multiple tables on the basis of
11 / 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?
12 / 50
It is observed that every year the amount of data recorded in an organization :
13 / 50
DTS allows us to connect through any data source or destination that is supported by ____________
14 / 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?
15 / 50
Data mining uses _________ algorithms to discover patterns and regularities in data.
16 / 50
The purpose of the House of Quality technique is to reduce ______ types of risk.
17 / 50
We must try to find the one access tool that will handle all the needs of their users.
18 / 50
To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?
19 / 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?
20 / 50
For a smooth DWH implementation we must be a technologist.
21 / 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.
22 / 50
Pakistan is one of the five major ________ countries in the world.
23 / 50
In DWH project, it is assured that ___________ environment is similar to the production environment
24 / 50
The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.
25 / 50
Horizontal splitting breaks a table into multiple tables based upon_______
26 / 50
The divide & conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.
27 / 50
Analytical processing uses ____________ , instead of record level access.
28 / 50
In _________ system, the contents change with time. :
29 / 50
Change Data Capture is one of the challenging technical issues in _____________
30 / 50
Non uniform distribution, when the data is distributed across the processors, is called ______.
31 / 50
The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.
32 / 50
People that design and build the data warehouse must be capable of working across the organization at all levels
33 / 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:
34 / 50
De-Normalization normally speeds up
35 / 50
Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.
36 / 50
37 / 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.
38 / 50
A single database, couldn‟t serve both operational high performance transaction processing and DSS, analytical processing, all at the same time.
39 / 50
The users of data warehouse are knowledge workers in other words they are _______in the organization.
40 / 50
Slice and Dice is changing the view of the data.
41 / 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.
42 / 50
To identify the __________________ required we need to perform data profiling
43 / 50
: The goal of ___________ is to look at as few blocks as possible to find the matching records(s).
44 / 50
Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.
45 / 50
To judge effectiveness we perform data profiling twice.
46 / 50
47 / 50
48 / 50
_______________, if fits into memory, costs only one disk I/O access to locate a record by given key.
49 / 50
_______ is an application of information and data.
50 / 50
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