CS614-Midterm
1 / 50
A data warehouse implementation without an OLAP tool is always possible.
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
Pakistan is one of the five major ________ countries in the world.
4 / 50
The input to the data warehouse can come from OLTP or transactional system but not from other third party database.
5 / 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 ___________
6 / 50
For a relation to be in 4NF it must be:-
7 / 50
_________ breaks a table into multiple tables based upon common column values.
8 / 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.
9 / 50
In DWH project, it is assured that ___________ environment is similar to the production environment
10 / 50
The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by _____________ tools typical of decision support systems.
11 / 50
Transactional fact tables do not have records for events that do not occur. These are called
12 / 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.
13 / 50
The technique that is used to perform these feats in data mining modeling, and this act of model building is something that people have been doing for long time, certainly before the _______ of computers or data mining technology.
14 / 50
15 / 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.
16 / 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.
17 / 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.
18 / 50
.______ is class of Decision Support Environment.
19 / 50
Focusing on data warehouse delivery only often end up _________.
20 / 50
Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.
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
Change Data Capture is one of the challenging technical issues in _____________
23 / 50
: The goal of ___________ is to look at as few blocks as possible to find the matching records(s).
24 / 50
Analytical processing uses ____________ , instead of record level access.
25 / 50
_______ is an application of information and data.
26 / 50
The growth of master files and magnetic tapes exploded around the mid- _______. :
27 / 50
NUMA stands for __________
28 / 50
: An optimized structure which is built primarily for retrieval, with update being only a secondary consideration is
29 / 50
Pre-computed _______ can solve performance problems
30 / 50
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.
31 / 50
If someone told you that he had a good model to predict customer usage, the first thing you might try would be to ask him to apply his model to your customer _______, where you already knew the answer.
32 / 50
Pre-join technique is used to avoid
33 / 50
A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
34 / 50
Horizontal splitting breaks a table into multiple tables based upon_______
35 / 50
A single database, couldn‟t serve both operational high performance transaction processing and DSS, analytical processing, all at the same time.
36 / 50
For a given data set, to get a global view in un-supervised learning we use
37 / 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...
38 / 50
The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.
39 / 50
Naturally Evolving architecture occurred when an organization had a _______ approach to handling the whole process of hardware and software architecture.
40 / 50
If every key in the data file is represented in the index file then index is :
41 / 50
To identify the __________________ required we need to perform data profiling
42 / 50
For a smooth DWH implementation we must be a technologist.
43 / 50
The goal of ______is to look at as few block as possible to find the matching records.
44 / 50
De-Normalization normally speeds up
45 / 50
Relational databases allow you to navigate the data in ____________ that is appropriate using the primary, foreign key structure within the data model.
46 / 50
To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?
47 / 50
_______________, if too big and does not fit into memory, will be expensive when used to find a record by given key.
48 / 50
The users of data warehouse are knowledge workers in other words they are _______in the organization.
49 / 50
As apposed to the out come of classification, estimation deal with ____________ valued outcome.
50 / 50
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