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WGU D367 Innovation in Finance Objective Assessment | OA Updated Version 1 and 2 | Questions and Answers | 2026 | 100% Correct.

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WGU D367 Innovation in Finance Objective Assessment | OA Updated Version 1 and 2 | Questions and Answers | 2026 | 100% Correct.

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WGU D367 Innovation in Finance Objective Assessment | OA Updated Version 1 and
2 | Questions and Answers | 2026 | 100% Correct.




Correct

Incorrect


WGU D367 Innovation in Finance

220 Correct Questions and
Answers




Questions and answers




✅ By creating new credit
scores using nontraditional

, AI credit scores use broader
data.)



By using traditional credit history and By assessing personal relationships
income data only. and community involvement.


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2 of 220

Term



Which source of fintech funding is described as selling shares of stock
to general investors?



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An initial public offering (IPO) —
the first time a company sells
A debt offering — issuing bonds to
stock on public exchanges.
raise capital.
(Summary: IPO = first public
stock sale.)




A venture capital round — issuing A private equity placement — selling
stock to institutional investors. shares to individual investors.


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3 of 220

,Term



What is the difference between fintech P2P payments and ACH
payments?


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ACH requires a bank
intermediary for payments,
P2P uses a bank account for transfers, while P2P allows direct transfers
while ACH transfers funds instantly. without one. (Summary: P2P
bypasses banks, ACH uses
them.)




ACH involves higher fees for P2P requires a credit card
processing, while P2P is free and intermediary, while ACH allows direct
immediate. transfers.


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4 of 220

Term



Which factors complicate the collection of big data?



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Accuracy (precise data collection), Accessibility (easy data retrieval), and
Automation (automated data processing).

, Relevance (pertinent data sources), Reliability (consistent data quality), and
Resolution (detailed data granularity).




Consistency (uniform data formats), Confidentiality (secure data storage), and
Clarity (unambiguous data interpretation).




Velocity (speed of data collection), Variability (different formats), and Veracity
(mixed quality). (Summary: Data speed, variety, and quality make big data
complex.)


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5 of 220

Term



Which technological development is increasing trust in financial
transactions?



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Blockchain — distributed
verification across multiple
Biometric authentication — using
computers ensures secure data.
physical traits for security.
(Summary: Blockchain builds
transaction trust.)

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