Math 144 Reviewer

Math 144 Reviewer

University

53 Qs

quiz-placeholder

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Math 144 Reviewer

Math 144 Reviewer

Assessment

Quiz

Other

University

Medium

Created by

Raymund Abion

Used 5+ times

FREE Resource

53 questions

Show all answers

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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