FORMATIVE 6 Flashcards

1
Q

An OLAP system that utilizes multi-dimensional database for storing and analyzing information.

(MOLAP)

True or False

A

True

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2
Q

The full form of the acronym OLAP is (ONLINE ANALYTICAL PROCESS)

True

False

A

True

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3
Q

The acronym for ETL is (EXTRACT TRANSFORM LOAD)

True

False

A

True

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4
Q

(SLICE) is a OLAP operation that performs the analysis by taking one level of information for display.

True or False

A

True

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5
Q

OLAP is located in between Front-end tools and (DATA WAREHOUSE)

True or False

A

True

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6
Q

The _____ operation perform the analysis that can gain a new view of data by rotating the data axes of the cube.

SLICE & DICE

DRILL-DOWN

ROLL-UP

PIVOT

A

PIVOT

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7
Q

The HOLAP system is a blend of ______ and MOLAP.

WOLAP

ROLAP

SOLAP

DOLAP

A

ROLAP

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8
Q

An OLAP system that is created to facilitate management of both spatial and non-spatial data in a Geographic Information system.

HOLAP

WOLAP

MOLAP

SOLAP

A

SOLAP

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9
Q

An OLAP operation that is also known as consolidation, use to summarize operation data along with the dimension.

DRILL-UP

SLICE

DICE

ROLL-UP

A

DRILL-UP

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10
Q

Classification technique is a supervised learning.

True or False

A

True

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11
Q

The predictive analysis provides answers of the future queries that move across using historical data as the chief principle for decisions.

True or False

A

True

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12
Q

Clustering is an unsupervised learning.

True or False

A

True

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13
Q

Decision Tree is an example of a classifcation algorithm.

True or False

A

True

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14
Q

Data mining is applied in _________ websites to offer cross-sells and up-sells through their websites.

E-COMMERCE

SERVICE PROVIDERS

SUPERMARKETS

RETAIL

A

E-COMMERCE

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15
Q

It refers to the numeric study of data relationships.

MACHINE LEARNING

Not in the options

STATISTICS

ALGORITHMS

A

STATISTICS

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16
Q

These are algorithms that can learn from data to make predictions.

MACHINE LEARNING

ARTIFICIAL INTELLIGENCE

Not in the options

DATA MINING ALGORITHMS

A

MACHINE LEARNING

17
Q

The _____ is about processing data and identifying patterns and trends in that information so that you can decide or judge.

DATA MINING

STATISTICS

ARTIFICIAL INTELLIGENCE

MACHINE LEARNING

A

DATA MINING

18
Q

The ful form of DOLAP acronym is (DESKTOP) OLAP.

True

False

19
Q

An OLAP operation that performs analysis in deeper among the dimensins of data.

(DRILL-DOWN)

True

False

20
Q

A (OLAP CUBE) is a data structure that allows fast analysis of data according to the multiple dimensions that define a business problem.

True

False

21
Q

The full form of DOLAP acronym is _______ OLAP.

DESKTOP

DRONE

DYNAMIC

DEVICE

22
Q

An ETL loading type that applies ongoing changes as when needed periodically.

FULL REFRESH LOAD

INCREMENTAL LOAD

FULL LOAD

PARTIAL LOAD

A

INCREMENTAL LOAD

23
Q

An ETL loading type that populates all the data warehouse tables.

FULL LOAD

FULL REFRESH LOAD

INCREMENTAL LOAD

INITIAL LOAD

A

INITIAL LOAD

24
Q

This strategy is also known delta, where only the data being changed is extracted and update data warehouses.

Partial Extraction (with update notification)

Partial Extraction (without update notification)

A

Partial Extraction (with update notification)

25
Q

An ETL loading type that erase the contents of one or more tables and reloading with fresh data.

PARTIAL LOAD

INITIAL LOAD

INCREMENTAL LOAD

FULL REFRESH LOAD

A

FULL REFRESH LOAD

26
Q

The descriptive analysis provides answers of the future queries that move across using historical data as the chief principle for decisions.

True

False

27
Q

Clustering technique is an unsupervised learning.

True

False

28
Q

The Naive Bayes algorithm is a______ data mining.

CLASSIFICATION

REGRESSION

ASSOCIATION

CLUSTERING

A

CLASSIFICATION

29
Q

A DM algorithm that has an assumption: Every feature of the data being classified is independent of all other features given the class.

K-MEANS

NAIVE BAYES

DECISION TREE

APRIORI

A

NAIVE BAYES

30
Q

A DM algorithm that constructs a classifier in the form of a decision tree.

C4.5

K-MEANS

NEURAL NETWORK

PAGERANK

31
Q

What is the 4th step in CRISP-DM?

MODELING

DATA PREPARATION

EVALUATION

ANALYSIS

32
Q

The (INITIAL LOAD) type of ETL Loading process populates all the data warehouse tables.

True

False

33
Q

he type of OLAP system that works on the information that resides in a relational database.

MOLAP

HOLAP

DOLAP

ROLAP

34
Q

The DEPLOYMENT phase of CRISP-DM that consists of presenting the results in a useful and understandable manner, and by achieving this, the project should achieve its goals.

True

False

35
Q

KDD stands for:

Knowledge Discovery in Databases

Knowledge Database and Discovery

Knowledge Discovered Database

Knowledge in Discovering Data

A

Knowledge Discovery in Databases

36
Q

A data mining technique that is used to make predictions based on relationships within the data set.

ANOMALY DETECTION

CLUSTER ANALYSIS

REGRESSION

CLASSIFICATION

A

REGRESSION

37
Q

An OLAP operation that performs the analysis by taking one level of information for display.

SLICE

DRILL-DOWN

DICE

PIVOT

38
Q

A type of data mining algorithm that is used to mine data and provide the latest information on past or recent events.

DESCRIPTIVE ANALYSIS

PREDICTIVE ANALYSIS

A

DESCTIPTIVE ANALYSIS

39
Q

The EVALUATION phase of CRISP-DM that consists of presenting the results in a useful and understandable manner, and by achieving this, the project should achieve its goals.

True

False