AIS- Data Analytic Chapter 1-10 (Exam
with Correct Answers)
1) Which of the following is the best definition of the term big data?
A) Databases measured in terms of zettabytes.
B) Datasets that are too large and complex for businesses' existing systems utilizing
traditional capabilities.
C) Databases for businesses that generate more than one million electronic
transactions per month.
D) Datasets generated by social media applications such as Facebook, Twitter,
Tencent QQ, and Instagram. - Answer-B
2) How does data analytics play a vital role in today's business world?
A) By allowing data to be organized into predefined tables and fields.
B) By defining three main categories of classes that help organize a company's data
structure models.
C) By examining data to generate models for predictions of patterns and trends.
D) By capturing the ever-increasing transaction activity of large companies. - Answer-
C
3) The four Vs are considered a defining feature of big data. Which of the following is
the best definition of the term big data?
A) Volition, veracity, velocity & variety.
B) Variety, visibility, volocity & valuation.
C) Volume, veracity, velocity, & variety.
D) Volume, variability, variety & veracity. - Answer-C
4) As described in the text, which of the following best defines the term data analytics?
A) The ability extra and load large datasets.
B) The science of moving data from Access to Enterprise Reporting Tools to draw
conculsions for decision making.
C) The process of organizing extremely large datasets to create more managability.
D) The science of examining raw data, removing excess noise, and organizing it in
order to draw conclusions for decision making. - Answer-D
5) At its core, data analytics fits into the information value chain in which of the following
ways?
, A) The process of data analytics aims at transforming raw data into valuable
information.
B) Data analytics aims to make an organization's conversion process more efficient.
C) Data analytics requires organizations to share synced data with upstream and
downstream business partners.
D) The process of data analytics is geared toward providing additional insight into
customer activities and preferences. - Answer-A
6) Raw data often must be scrubbed to remove extraneous (irrelevant) data and other
noise in order to become useful. This technique is known as:
A) Process, Scrub, and Import.
B) Extract, Transform, and Load.
C) Evaluate, Depopulate, and Finalize.
D) Filter, Coordinate, and Upload. - Answer-B
7) Data analytics professionals estimate that they spend how much of their time
cleaning data in order to perform analysis on it?
A) 10-15%.
B) 20-30%.
C) 50-90%.
D) 99+%. - Answer-C
8) Which of the following best summarizes the two key limiting factors for business
systems when dealing with Big Data?
A) Data storage capacity and processing power.
B) Data availability and software tools.
C) Database organization and transaction volume.
D) Analytic skills and software tools. - Answer-A
9) Which of the following is NOT one of the skill sets often associated with data
analytics?
A) Mining and analyzing data.
B) Creating data structures and models.
C) Bifurcating data.
D) Acquiring and cleansing data. - Answer-C
10) The insight provided through data analytics can help companies in all of the
following ways except:
A) Dictate the policies of external business partners.
B) Create more directed marketing campaigns.
C) Identify future opportunities and risks.
with Correct Answers)
1) Which of the following is the best definition of the term big data?
A) Databases measured in terms of zettabytes.
B) Datasets that are too large and complex for businesses' existing systems utilizing
traditional capabilities.
C) Databases for businesses that generate more than one million electronic
transactions per month.
D) Datasets generated by social media applications such as Facebook, Twitter,
Tencent QQ, and Instagram. - Answer-B
2) How does data analytics play a vital role in today's business world?
A) By allowing data to be organized into predefined tables and fields.
B) By defining three main categories of classes that help organize a company's data
structure models.
C) By examining data to generate models for predictions of patterns and trends.
D) By capturing the ever-increasing transaction activity of large companies. - Answer-
C
3) The four Vs are considered a defining feature of big data. Which of the following is
the best definition of the term big data?
A) Volition, veracity, velocity & variety.
B) Variety, visibility, volocity & valuation.
C) Volume, veracity, velocity, & variety.
D) Volume, variability, variety & veracity. - Answer-C
4) As described in the text, which of the following best defines the term data analytics?
A) The ability extra and load large datasets.
B) The science of moving data from Access to Enterprise Reporting Tools to draw
conculsions for decision making.
C) The process of organizing extremely large datasets to create more managability.
D) The science of examining raw data, removing excess noise, and organizing it in
order to draw conclusions for decision making. - Answer-D
5) At its core, data analytics fits into the information value chain in which of the following
ways?
, A) The process of data analytics aims at transforming raw data into valuable
information.
B) Data analytics aims to make an organization's conversion process more efficient.
C) Data analytics requires organizations to share synced data with upstream and
downstream business partners.
D) The process of data analytics is geared toward providing additional insight into
customer activities and preferences. - Answer-A
6) Raw data often must be scrubbed to remove extraneous (irrelevant) data and other
noise in order to become useful. This technique is known as:
A) Process, Scrub, and Import.
B) Extract, Transform, and Load.
C) Evaluate, Depopulate, and Finalize.
D) Filter, Coordinate, and Upload. - Answer-B
7) Data analytics professionals estimate that they spend how much of their time
cleaning data in order to perform analysis on it?
A) 10-15%.
B) 20-30%.
C) 50-90%.
D) 99+%. - Answer-C
8) Which of the following best summarizes the two key limiting factors for business
systems when dealing with Big Data?
A) Data storage capacity and processing power.
B) Data availability and software tools.
C) Database organization and transaction volume.
D) Analytic skills and software tools. - Answer-A
9) Which of the following is NOT one of the skill sets often associated with data
analytics?
A) Mining and analyzing data.
B) Creating data structures and models.
C) Bifurcating data.
D) Acquiring and cleansing data. - Answer-C
10) The insight provided through data analytics can help companies in all of the
following ways except:
A) Dictate the policies of external business partners.
B) Create more directed marketing campaigns.
C) Identify future opportunities and risks.
