MATH 144 LONG QUIZ REVIEW QUESTIONS
WITH VERIFIED ANSWERS
Which of the following is always TRUE about Big Data?
I. Due to its size or structure, Big Data cannot be efficiently analyzed using only
traditional databases or methods.
II. Although the variety of Big Data tends to attract the most attention, generally
the volume and velocity of the data provide a more apt definition of Big Data. -
CORRECT ANSWER I only
Which of the following are problems encountered in traditional data architecture?
a. High-value data is hard to reach and leverage, and predictive analytics and data
mining activities are last in line for data.
b. Data scientists are limited to performing in-memory analytics which will restrict
the size of the datasets they can use.
c. Data Science projects will remain isolated and ad hoc, rather than centrally
managed.
d. All of the Above - CORRECT ANSWER All of the above
Which of the following TRUE about the differences of Business Intelligence (BI)
and Data Science?
I. Where Data Science problems tend to require highly structured data organized
in rows and columns for accurate reporting, BI projects tend to use many types of
data sources, including large or unconventional datasets.
II. Data Science tends to be more exploratory in nature and may use scenario
optimization to deal with more open-ended questions. - CORRECT ANSWER II only
,Which of the following is true about the current analytical architecture?
I. Data sources are first loaded into the data warehouse where data needs to be
well understood, structured, and normalized with the appropriate data type
definitions. This kind of centralization enables security, backup, and failover of
highly critical data.
II. Once in the data warehouse, data is read by additional applications across the
enterprise for BI and reporting purposes. These are high-priority operational
processes getting critical data feeds from the data warehouses and repositories. -
CORRECT ANSWER both I and II
This type of data has no inherent structure, which may include text documents,
PDFs, images, and video. - CORRECT ANSWER Unstructured Data
This are centralized data containers in a purpose-built space that supports
business intelligence and reporting but restricts robust analyses. - CORRECT
ANSWER Data warehouses
Among the business drivers that push businesses to become more analytical and
data driven, this one involves customer churn, fraud and default - CORRECT
ANSWER Identify Business Risk
Which of these attributes stand out as defining Big Data characteristics?
a. Huge volume of data
b. Complexity of data types and structures
c. Speed of new data creation and growth
, d. All of the Above - CORRECT ANSWER All of the above
Which of the following describe the decade beyond 2010 in regards to big data?
I. In this era, everyone and everything is leaving a digital footprint.
II. Data volumes in this decade are measured in terms of petabytes. - CORRECT
ANSWER I only
The following are recurring sets of activities that data scientist performs EXCEPT
a. Reframe business challenges as analytics challenges.
b. Provide technical expertise to support analytical projects such as provisioning
and administrating analytical sandboxes.
c. Develop insights that lead to actionable recommendations.
d. Design, implement, and deploy statistical models and data mining techniques
on Big Data. - CORRECT ANSWER Provide technical expertise to support analytical
projects such as provisioning and administrating analytical sandboxes.
The data now is said to come from many sources including
a. All of the Above
WITH VERIFIED ANSWERS
Which of the following is always TRUE about Big Data?
I. Due to its size or structure, Big Data cannot be efficiently analyzed using only
traditional databases or methods.
II. Although the variety of Big Data tends to attract the most attention, generally
the volume and velocity of the data provide a more apt definition of Big Data. -
CORRECT ANSWER I only
Which of the following are problems encountered in traditional data architecture?
a. High-value data is hard to reach and leverage, and predictive analytics and data
mining activities are last in line for data.
b. Data scientists are limited to performing in-memory analytics which will restrict
the size of the datasets they can use.
c. Data Science projects will remain isolated and ad hoc, rather than centrally
managed.
d. All of the Above - CORRECT ANSWER All of the above
Which of the following TRUE about the differences of Business Intelligence (BI)
and Data Science?
I. Where Data Science problems tend to require highly structured data organized
in rows and columns for accurate reporting, BI projects tend to use many types of
data sources, including large or unconventional datasets.
II. Data Science tends to be more exploratory in nature and may use scenario
optimization to deal with more open-ended questions. - CORRECT ANSWER II only
,Which of the following is true about the current analytical architecture?
I. Data sources are first loaded into the data warehouse where data needs to be
well understood, structured, and normalized with the appropriate data type
definitions. This kind of centralization enables security, backup, and failover of
highly critical data.
II. Once in the data warehouse, data is read by additional applications across the
enterprise for BI and reporting purposes. These are high-priority operational
processes getting critical data feeds from the data warehouses and repositories. -
CORRECT ANSWER both I and II
This type of data has no inherent structure, which may include text documents,
PDFs, images, and video. - CORRECT ANSWER Unstructured Data
This are centralized data containers in a purpose-built space that supports
business intelligence and reporting but restricts robust analyses. - CORRECT
ANSWER Data warehouses
Among the business drivers that push businesses to become more analytical and
data driven, this one involves customer churn, fraud and default - CORRECT
ANSWER Identify Business Risk
Which of these attributes stand out as defining Big Data characteristics?
a. Huge volume of data
b. Complexity of data types and structures
c. Speed of new data creation and growth
, d. All of the Above - CORRECT ANSWER All of the above
Which of the following describe the decade beyond 2010 in regards to big data?
I. In this era, everyone and everything is leaving a digital footprint.
II. Data volumes in this decade are measured in terms of petabytes. - CORRECT
ANSWER I only
The following are recurring sets of activities that data scientist performs EXCEPT
a. Reframe business challenges as analytics challenges.
b. Provide technical expertise to support analytical projects such as provisioning
and administrating analytical sandboxes.
c. Develop insights that lead to actionable recommendations.
d. Design, implement, and deploy statistical models and data mining techniques
on Big Data. - CORRECT ANSWER Provide technical expertise to support analytical
projects such as provisioning and administrating analytical sandboxes.
The data now is said to come from many sources including
a. All of the Above
