CS614 Midterm Online Quiz

_____modeling technique is more appropriate for data warehouses.

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

The goal of star schema design is to simplify ________

Focusing on data warehouse delivery only often end up _________.

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

.______ is class of Decision Support Environment.

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.

NUMA stands for __________

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.

For a relation to be in 4NF it must be:-

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

_________ breaks a table into multiple tables based upon common column values.

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

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 ____________.

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

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

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

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

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.

_______ is an application of information and data.

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.

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

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

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

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

For a smooth DWH implementation we must be a technologist.

Analytical processing uses ____________ , instead of record level access.

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

There are many variants of the traditional nested-loop join. If the index is built as part of the query plan and subsequently dropped, it is called

Suppose the amount of data recorded in an organization is doubled every year. This increase is __________ .

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?

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.

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.

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.

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

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

5 million bales.

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

People that design and build the data warehouse must be capable of working across the organization at all levels

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

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

The goal of star schema design is to simplify ________

Relational databases allow you to navigate the data in ____________ that is appropriate using the primary, foreign key structure within the data model.

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

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?

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.

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.

Many data warehouse project teams waste enormous amounts of time searching in vain for a _______.

De-Normalization normally speeds up

_________ breaks a table into multiple tables based upon common column values.