MATH144 INTRODUCTION TO DATA SCIENCE
MOD 1 REVIEWER QUESTIONS WITH VERIFIED
ANSWERS
Identify Business Risk - CORRECT ANSWER Among the business drivers that push
businesses to become more analytical and data-driven, this one involves customer
churn, fraud, and default.
Identify Business Risk
Data Warehouses - CORRECT ANSWER These are centralized data containers in a
purpose-built space that supports business intelligence and reporting but restricts
robust analyses.
All of the Above - CORRECT ANSWER Which of the following are problems
encountered in traditional data architecture?
* High-value data is hard to reach and leverage, and predictive analytics and data
mining activities are last in line for data.
* Data scientists are limited to performing in-memory analytics which will restrict
the size of the datasets they can use.
* Data Science projects will remain isolated and ad hoc, rather than centrally
managed.
* All of the Above
,Unstructured Data - CORRECT ANSWER This type of data has no inherent
structure, which may include text documents, PDFs, images, and video.
I only - CORRECT ANSWER 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.
* I only
* II only
* both I and II
* neither I nor II
II only - CORRECT ANSWER 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.
* I only
* II only
* both I and II
* neither I nor II
both I and II - CORRECT ANSWER 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.
* I only
MOD 1 REVIEWER QUESTIONS WITH VERIFIED
ANSWERS
Identify Business Risk - CORRECT ANSWER Among the business drivers that push
businesses to become more analytical and data-driven, this one involves customer
churn, fraud, and default.
Identify Business Risk
Data Warehouses - CORRECT ANSWER These are centralized data containers in a
purpose-built space that supports business intelligence and reporting but restricts
robust analyses.
All of the Above - CORRECT ANSWER Which of the following are problems
encountered in traditional data architecture?
* High-value data is hard to reach and leverage, and predictive analytics and data
mining activities are last in line for data.
* Data scientists are limited to performing in-memory analytics which will restrict
the size of the datasets they can use.
* Data Science projects will remain isolated and ad hoc, rather than centrally
managed.
* All of the Above
,Unstructured Data - CORRECT ANSWER This type of data has no inherent
structure, which may include text documents, PDFs, images, and video.
I only - CORRECT ANSWER 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.
* I only
* II only
* both I and II
* neither I nor II
II only - CORRECT ANSWER 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.
* I only
* II only
* both I and II
* neither I nor II
both I and II - CORRECT ANSWER 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.
* I only
