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70+ Data Warehouse Solved MCQs

These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Uncategorized topics .

51.

________________ is an expensive process in building an expert system.

A. Analysis.
B. Study.
C. Design.
D. Information collection.
Answer» D. Information collection.
52.

The full form of KDD is _________.

A. Knowledge database.
B. Knowledge discovery in database.
C. Knowledge data house.
D. Knowledge data definition.
Answer» B. Knowledge discovery in database.
53.

The first International conference on KDD was held in the year _____________.

A. 1996.
B. 1997.
C. 1995.
D. 1994.
Answer» C. 1995.
54.

Removing duplicate records is a process called _____________.

A. recovery.
B. data cleaning.
C. data cleansing.
D. data pruning.
Answer» B. data cleaning.
55.

____________ contains information that gives users an easy-to-understand perspective of the information stored in the data warehouse.

A. Business metadata.
B. Technical metadata.
C. Operational metadata.
D. Financial metadata.
Answer» A. Business metadata.
56.

_______________ helps to integrate, maintain and view the contents of the data warehousing system.

A. Business directory.
B. Information directory.
C. Data dictionary.
D. Database.
Answer» B. Information directory.
57.

Discovery of cross-sales opportunities is called ________________.

A. segmentation.
B. visualization.
C. correction.
D. association.
Answer» D. association.
58.

Data marts that incorporate data mining tools to extract sets of data are called ______.

A. independent data mart.
B. dependent data marts.
C. intra-entry data mart.
D. inter-entry data mart.
Answer» B. dependent data marts.
59.

____________ can generate programs itself, enabling it to carry out new tasks.

A. Automated system.
B. Decision making system.
C. Self-learning system.
D. Productivity system.
Answer» D. Productivity system.
60.

The power of self-learning system lies in __________.

A. cost.
B. speed.
C. accuracy.
D. simplicity.
Answer» C. accuracy.
61.

Building the informational database is done with the help of _______.

A. transformation or propagation tools.
B. transformation tools only.
C. propagation tools only.
D. extraction tools.
Answer» A. transformation or propagation tools.
62.

How many components are there in a data warehouse?

A. two.
B. three.
C. four.
D. five.
Answer» D. five.
63.

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

A. Metadata.
B. Current detail data.
C. Lightly summarized data.
D. Component Key.
Answer» D. Component Key.
64.

________ is data that is distilled from the low level of detail found at the current detailed leve.

A. Highly summarized data.
B. Lightly summarized data.
C. Metadata.
D. Older detail data.
Answer» B. Lightly summarized data.
65.

Highly summarized data is _______.

A. compact and easily accessible.
B. compact and expensive.
C. compact and hardly accessible.
D. compact.
Answer» A. compact and easily accessible.
66.

A directory to help the DSS analyst locate the contents of the data warehouse is seen in ______.

A. Current detail data.
B. Lightly summarized data.
C. Metadata.
D. Older detail data.
Answer» C. Metadata.
67.

Metadata contains atleast _________.

A. the structure of the data.
B. the algorithms used for summarization.
C. the mapping from the operational environment to the data warehouse.
D. all of the above.
Answer» D. all of the above.
68.

Which of the following is not a old detail storage medium?

A. Phot Optical Storage.
B. RAID.
C. Microfinche.
D. Pen drive.
Answer» D. Pen drive.
69.

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

A. Current detail data.
B. Older detail data.
C. Lightly summarized data.
D. Highly summarized data.
Answer» A. Current detail data.
70.

The data in current detail level resides till ________ event occurs.

A. purge.
B. summarization.
C. archieved.
D. all of the above.
Answer» D. all of the above.
71.

The dimension tables describe the _________.

A. entities.
B. facts.
C. keys.
D. units of measures.
Answer» B. facts.
72.

The granularity of the fact is the _____ of detail at which it is recorded.

A. transformation.
B. summarization.
C. level.
D. tr
Answer» A. transformation.
73.

Which of the following is not a primary grain in analytical modeling?

A. Transaction.
B. Periodic snapshot.
C. Accumulating snapshot.
D. All of the above.
Answer» B. Periodic snapshot.
74.

Granularity is determined by ______.

A. number of parts to a key.
B. granularity of those parts.
C. both A and B.
D. none of the above.
Answer» C. both A and B.
75.

___________ of data means that the attributes within a given entity are fully dependent on the entire primary key of the entity.

A. Additivity.
B. Granularity.
C. Functional dependency.
D. Dimensionality.
Answer» C. Functional dependency.
76.

A fact is said to be fully additive if ___________.

A. it is additive over every dimension of its dimensionality.
B. additive over atleast one but not all of the dimensions.
C. not additive over any dimension.
D. None of the above.
Answer» A. it is additive over every dimension of its dimensionality.
77.

A fact is said to be partially additive if ___________.

A. it is additive over every dimension of its dimensionality.
B. additive over atleast one but not all of the dimensions.
C. not additive over any dimension.
D. None of the above.
Answer» B. additive over atleast one but not all of the dimensions.
78.

A fact is said to be non-additive if ___________.

A. it is additive over every dimension of its dimensionality.
B. additive over atleast one but not all of the dimensions.
C. not additive over any dimension.
D. None of the above.
Answer» C. not additive over any dimension.
79.

Non-additive measures can often combined with additive measures to create new _________.

A. additive measures.
B. non-additive measures.
C. partially additive.
D. All of the above.
Answer» A. additive measures.

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