Cleaning and Preparing Data in Microsoft Azure Flashcards

1
Q

What is discrete data with no potential relationship with the outcome variable?

Error data

Useless data

Unrelated data

Count data

A

Useless data

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2
Q

Which data represents characteristics, such as a hockey player’s position, team, and hometown?

Continuous

Categorical

Interval

Binary

A

Categorical

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3
Q

What data is a sequence of data collected at regular intervals over some period of time?

Audio

Time series

Text

Video

A

Time series

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4
Q

What is a set of data collected and the world selected from a statistical population by a defined procedure?

Nomial

Ordinal

Random

Sample

A

Sample

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5
Q

Which sampling divides the elements of the population into small subgroups based on the similarity in such a way that the elements within the group are homogeneous and heterogeneous among the other subgroups formed?

Stratified

Systematic

Multi stage

Cluster

A

Stratified

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6
Q

Which is a type of sampling that depends of some pre-set standard?

Snowball

Quota

Referral

Purposive

A

Quota

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7
Q

What is a data processing workflow that converts the structure of disparate data sets into a Common Data Format?

Data cleansing

Extract load transform

Data formatting

Data standardization

A

Data standardization

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8
Q

What is the process of gathering data and presenting it in a summarized format?

Extract transfer load

Extract load transfer

Data formatting

Data aggregation

A

Data aggregation

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9
Q

What refers to converting categories into a numeric form so as to convert it into the machine-readable form?

String converting

Label encoding

Hashing

Value converting

A

Label encoding

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10
Q

What is the task of grouping a set of objects so that objects in the same group are more similar (in some sense) to each other than to those in other groups?

Categorizing

Transforming

Changing

Clustering

A

Clustering

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