CS614 Midterm Online Quiz

The goal of star schema design is to simplify ________

Normalization effects performance

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

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

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

A data warehouse implementation without an OLAP tool is always possible.

DOLAP allows download of “cube” structures to a desktop platform with the need for shared relational or cube server.

5 million bales.

The need to synchronize data upon update is called

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

Change Data Capture is one of the challenging technical issues in _____________

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

The input to the data warehouse can come from OLTP or transactional system but not from other third party database.

As apposed to the out come of classification, estimation deal with ____________ valued outcome.

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.

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

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

.______ is class of Decision Support Environment.

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

Ad-hoc access means to run such queries which are known already.

Pakistan is one of the five major ________ countries in the world.

30.Data Warehouse is about taking / colleting data from different ________ sources:

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:

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.

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

Grain is the ________ level of data stored in the warehouse.

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

Horizontal splitting breaks a table into multiple tables based upon_______

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:

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?

If „M‟ rows from table-A match the conditions in the query then table-B is accessed „M‟ times. Suppose table-B has an index on the join column. If „a‟ I/Os are required to read the data block for each scan and „b‟ I/Os for each data block then the total cost of accessing table-B is _____________ logical I/Os approximately.

The users of data warehouse are knowledge workers in other words they are _______in the organization.

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

In a traditional MIS system, there is an almost linear sequence of queries.

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

For a smooth DWH implementation we must be a technologist.

Data mining uses _________ algorithms to discover patterns and regularities in data.

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

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...

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

All data is ______________ of something real. I An Abstraction II A Representation Which of the following option is true?

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

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

Pre-computed _______ can solve performance problems

In _________ system, the contents change with time. :

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.

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

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

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

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