
Math 144 Reviewer
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Raymund Abion
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53 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
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
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Among the business drivers that push businesses to become more analytical and data driven, this one involves customer churn, fraud and default
Optimize Business Operations
Identify Business Risk
Predict New Business Opportunities
Comply with Regulatory Requirements
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
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
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
This are centralized data containers in a purpose-built space that supports business intelligence and reporting but restricts robust analyses.
Data marts
Data warehouses
Analytic Sandbox
None of the Above
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
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
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of these attributes stand out as defining Big Data characteristics?
Huge volume of data
Complexity of data types and structures
Speed of new data creation and growth
All of the Above
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
This type of data has no inherent structure, which may include text documents, PDFs, images, and video.
Quasi-structured Data
Unstructured Data
Semi-structured Data
Structured Data
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