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
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
FULL REFRESH LOAD
26
The descriptive analysis provides answers of the future queries that move across using historical data as the chief principle for decisions. True False
False
27
Clustering technique is an unsupervised learning. True False
True
28
The Naive Bayes algorithm is a______ data mining. CLASSIFICATION REGRESSION ASSOCIATION CLUSTERING
CLASSIFICATION
29
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
NAIVE BAYES
30
A DM algorithm that constructs a classifier in the form of a decision tree. C4.5 K-MEANS NEURAL NETWORK PAGERANK
C4.5
31
What is the 4th step in CRISP-DM? MODELING DATA PREPARATION EVALUATION ANALYSIS
MODELING
32
The (INITIAL LOAD) type of ETL Loading process populates all the data warehouse tables. True False
True
33
he type of OLAP system that works on the information that resides in a relational database. MOLAP HOLAP DOLAP ROLAP
ROLAP
34
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
True
35
KDD stands for: Knowledge Discovery in Databases Knowledge Database and Discovery Knowledge Discovered Database Knowledge in Discovering Data
Knowledge Discovery in Databases
36
A data mining technique that is used to make predictions based on relationships within the data set. ANOMALY DETECTION CLUSTER ANALYSIS REGRESSION CLASSIFICATION
REGRESSION
37
An OLAP operation that performs the analysis by taking one level of information for display. SLICE DRILL-DOWN DICE PIVOT
SLICE
38
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
DESCTIPTIVE ANALYSIS
39
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
False