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Terms in this set (15)
_____ is the term used to describe enormous and complex data collections that traditional data management software, hardware, and analysis processes are incapable of handling.
a.
Data warehouse
b.
Data mart
c.
Big data
d.
Knowledge base
big data
Haley's employer has asked her to review a database containing thousands of social media posts about their company's products and extract the data the executive team needs to make decisions about these products and their marketing. In terms of the characteristics of big data, Haley is focusing on ________.
a.
volume
b.
value
c.
velocity
d.
veracity
Value
Barry's job responsibilities include helping maintain a large database that holds business information from over a dozen source systems, covering all aspects of his company's processes, products, and customers. This database contains not only enterprise data but also data from other organizations. Barry works with a(n) _____.
a.
data mart
b.
data lake
c.
data warehouse
d.
in-memory database
data warehouse
Which of the following is required to create a traditional data warehouse but NOT a data lake?
a.
Extract Transform Load process
b.
raw data
c.
data storage
d.
OLTP system and/or other data source(s)
Extract Transform Load Process
A _____ is a subset of a data warehouse that is used by small- and medium-sized businesses and departments within large companies to support decision making.
a.
data dictionary
b.
data model
c.
data mart
d.
data mine
data mart
One key difference between a relational database and a NoSQL database is _____.
a.
where data comes from
b.
the way data storage and retrieval are modeled
c.
which vendors provide applicable software tools
d.
the data backup and recovery
procedure
the way data storage and retrieval are modeled
Donna is a member of a team trying to select the best type of database for a business problem. If the database must handle a variety of data, she would like to store the data on a group of servers, and the data structures must be very flexible, what would you suggest?
a.
Either a NoSQL or a relational database would be a good fit.
b.
Neither
a NoSQL nor a relational database would be a good fit.
c.
A relational database would likely be a better fit than a NoSQL database.
d.
A NoSQL database would likely be a better fit than a relational database.
a NOSQL database would likely be a better fit than a relational database
A database system that stores the entire database in random access memory is known as a(n) _____.
a.
relational
database
b.
HDFS database
c.
in-memory database
d.
NoSQL database
in-memory database
Which of the following is the LEAST essential characteristic for success as a data scientist?
a.
strong business acumen
b.
a deep understanding of analytics
c.
a healthy appreciation of the limitations of their data
d.
business leadership skills
business leadership
What determines the size of words in a word cloud?
a.
length of the word or phrase
b.
difficulty in pronouncing the word or phrase
c.
whether the word is a noun or verb
d.
frequency of occurrence of the word in source documents
frequency of occurrence of the word in source documents
The graphical representation that summarizes the steps a consumer takes in making the decision to buy your product and become a customer is called _____.
a.
a word cloud
b.
a conversion funnel
c.
a scatter diagram
d.
a pivot chart
a conversion funnel
_____ is used to explore large amounts of data for hidden patterns to predict future trends.
a.
Data governance
b.
Data
mining
c.
Regression analysis
d.
A genetic algorithm
data mining
____ is the last phase of the six-phase CRISP-DM method.
a.
Evaluation
b.
Modeling
c.
Business understanding
d.
Deployment
deployment
To identify and make predictions about various alternative scenarios, a manager would use _______.
a.
simulation techniques
b.
descriptive analytics
c.
optimization techniques
d.
visual analytics
simulation techniques
The purpose of business intelligence is to _____.
a.
provide access to novel tools to end users
b.
reduce the cost of data processing
c.
support improved decision making
d.
improve employee morale
support improved decision making
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