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MCQ Problems / Explanations



............................. are designed to overcome any limitations placed on the warehouse by the nature of the...

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The biggest drawback of the level indicator in the classic star schema is that is limits ............

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................... are responsible for running queries and reports against data warehouse tables.

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Data warehouse contains ................ data that is never found in the operational environment.

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Business Intelligence and data warehousing is used for ..............

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A data warehouse is ......................

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The data from the operational environment enter ........................ of data warehouse.

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The core of the multidimensional model is the ....................... , which consists of a large set of facts and ...

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.......................... supports basic OLAP operations, including slice and dice, drill-down, roll-up and pivoti...

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Data warehouse architecture is based on .......................

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Which of the following is not a kind of data warehouse application?

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Which of the following is not a component of a data warehouse?

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The .................. allows the selection of the relevant information necessary for the data warehouse.

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The type of relationship in star schema is ...............

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The ............................ exposes the information being captured, stored, and managed by operational systems...

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........................ is a good alternative to the star schema.

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An .................. system is market-oriented and is used for data analysis by knowledge workers, including manag...

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The data is stored, retrieved and updated in ....................

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......................... is a subject-oriented, integrated, time-variant, nonvolatile collection or data in suppor...

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The full form of OLAP is

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The out put of KDD is .............

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The full form of KDD is ..................

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............................. is the process of finding a model that describes and distinguishes data classes or co...

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Strategic value of data mining is ......................

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............................. is a comparison of the general features of the target class data objects against the ...

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............................. is a summarization of the general characteristics or features of a target class of da...

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Which of the following is not a data mining functionality?

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...................... is an essential process where intelligent methods are applied to extract data patterns.

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Operational database is

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Query tools are

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Prediction is

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Multi-dimensional knowledge is

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Statistical significance is

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Inductive logic programming is

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Projection pursuit is

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Machine learning is

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Node is

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Knowledge is referred to

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Learning algorithm referrers to

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Naive prediction is

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Learning is

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KDD (Knowledge Discovery in Databases) is referred to

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Inclusion dependencies

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Inductive learning is

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Information content is

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Knowledge engineering is

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Incremental learning referred to

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Kohonen self-organizing map referred to

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Hybrid learning is

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Heuristic is

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Enumeration is referred to

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Heterogeneous databases referred to

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Enrichment is

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Hidden knowledge referred to

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Euclidean distance measure is

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Discovery is

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Hybrid is

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DNA (Deoxyribonucleic acid)

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Data selection is

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A definition or a concept is------------- if it classifies any examples as coming within the concept

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A definition of a concept is-----if it recognizes all the instances of that concept

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Black boxes are

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Cluster is

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Biotope are

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Classification accuracy is

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Binary attribute are

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Classification is

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Case-based learning is

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Background knowledge referred to

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Bias is

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Algorithm is

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Bayesian classifiers is

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Adaptive system management is

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SNA can be described as

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__________ has the world's largest Hadoop cluster.

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During start-up, the ___________ loads the file system state from the fsimage and the edits log file.

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For YARN, the ___________ manager UI provides host and port information.

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HDFS is implemented in _____________ programming language.

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________ is the slave/worker node and holds the user data in the form of Data Blocks.

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A ________ serves as the master and there is only one NameNode per cluster.

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A definition or a concept is ______ if it classifies any examples as coming within the concept

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What is association rule mining?

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What will happen if support is reduced?

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Which algorithm requires fewer scans of data?

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Which of the following is not a frequent pattern mining algorithm?

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What is the relation between a candidate and frequent itemsets?

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When do you consider an association rule interesting?

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What is not true about FP growth algorithms?

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Which of the following is the direct application of frequent itemset mining?

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How do you calculate Confidence (A -> B)?

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What do you mean by support A?

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What techniques can be used to improve the efficiency of apriori algorithm?

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What does FP growth algorithm do?

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An itemset whose support is greater than or equal to a minimum support threshold is ______

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Frequency of occurrence of an itemset is called as _____

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A collection of one or more items is called as _____

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_______ is a top-down splitting technique based on a specified number of bins.

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Normalization by ______ normalizes by moving the decimal point of values of attributes.

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In _____, the attribute data are scaled so as to fall within a smaller range, such as -1.0 to 1.0, or 0.0 to 1.0.

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______ partitions the objects into different groups.

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