CS614 Midterm Online Quiz

Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.

NUMA stands for __________

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...

Node of a B-Tree is stored in memory block and traversing a B-Tree involves ______ page faults.

Non uniform distribution, when the data is distributed across the processors, is called ______.

_____modeling technique is more appropriate for data warehouses.

Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.

In horizontal splitting, we split a relation into multiple tables on the basis of

Focusing on data warehouse delivery only often end up _________.

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.

The performance in a MOLAP cube comes from the O(1) look-up time for the array data structure.

Transactional fact tables do not have records for events that do not occur. These are called

: An optimized structure which is built primarily for retrieval, with update being only a secondary consideration is

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

Slice and Dice is changing the view of the data.

If w is the window size and n is the size of data set, then the complexity of merging phase in BSN method is___________

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

The goal of star schema design is to simplify ________

We must try to find the one access tool that will handle all the needs of their users.

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

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

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

For a DWH project, the key requirement are ________ and product experience.

The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.

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.

De-Normalization normally speeds up

Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.

For a given data set, to get a global view in un-supervised learning we use

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

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

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

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?

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

Analytical processing uses ____________ , instead of record level access.

There are many variants of the traditional nested-loop join, if there is an index is exploited, then it is called……

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

If every key in the data file is represented in the index file then index is :

5 million bales.

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.

The STAR schema used for data design is a __________ consisting of fact and dimension tables. :

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.

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

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

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

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

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

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.

NUMA stands for __________

The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by _____________ tools typical of decision support systems.

 ________ gives total view of an organization