CS614-Midterm
1 / 50
Pakistan is one of the five major ________ countries in the world.
2 / 50
The need to synchronize data upon update is called
3 / 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.
4 / 50
The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.
5 / 50
DTS allows us to connect through any data source or destination that is supported by ____________
6 / 50
Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.
7 / 50
The input to the data warehouse can come from OLTP or transactional system but not from other third party database.
8 / 50
Change Data Capture is one of the challenging technical issues in _____________
9 / 50
Analytical processing uses ____________ , instead of record level access.
10 / 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.
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
A single database, couldn‟t serve both operational high performance transaction processing and DSS, analytical processing, all at the same time.
13 / 50
As apposed to the out come of classification, estimation deal with ____________ valued outcome.
14 / 50
In _________ system, the contents change with time. :
15 / 50
Which statement is true for De-Normalization?
16 / 50
Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.
17 / 50
DSS queries do not involve a primary key
18 / 50
To judge effectiveness we perform data profiling twice.
19 / 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.
20 / 50
Horizontal splitting breaks a table into multiple tables based upon_______
21 / 50
In horizontal splitting, we split a relation into multiple tables on the basis of
22 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
23 / 50
: The goal of ___________ is to look at as few blocks as possible to find the matching records(s).
24 / 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.
25 / 50
Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.
26 / 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...
27 / 50
_________ breaks a table into multiple tables based upon common column values.
28 / 50
29 / 50
Node of a B-Tree is stored in memory block and traversing a B-Tree involves ______ page faults.
30 / 50
People that design and build the data warehouse must be capable of working across the organization at all levels
31 / 50
The goal of star schema design is to simplify ________
32 / 50
33 / 50
: An optimized structure which is built primarily for retrieval, with update being only a secondary consideration is
34 / 50
Ad-hoc access means to run such queries which are known already.
35 / 50
Focusing on data warehouse delivery only often end up _________.
36 / 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 _______.
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
If every key in the data file is represented in the index file then index is :
39 / 50
_______________, if fits into memory, costs only one disk I/O access to locate a record by given key.
40 / 50
41 / 50
To identify the __________________ required we need to perform data profiling
42 / 50
43 / 50
DOLAP allows download of “cube” structures to a desktop platform with the need for shared relational or cube server.
44 / 50
In DWH project, it is assured that ___________ environment is similar to the production environment
45 / 50
Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.
46 / 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.
47 / 50
Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.
48 / 50
The users of data warehouse are knowledge workers in other words they are _______in the organization.
49 / 50
To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?
50 / 50
The goal of ______is to look at as few block as possible to find the matching records.
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