FINTECH EXAM 2 QUESTIONS WITH DETAILED VERIFIED AND
100% ACCURATE ANSWERS LATEST UPDATE ALREADY GRADED
A+
Internet of Things (IoT) - (ANSWER)a world where interconnected, Internet-enabled devices or "things"
can collect and share data without human intervention
AI and Machine Learning in Finance - (ANSWER)Used to assess credit, optimize scarce capital, find signals
for higher returns and optimize trading execution, used by public and private sector for regulatory
compliance, surveillance, data quality assessment and fraud detection
Machine Learning - (ANSWER)Seeks to extract info from large amounts of data. Goal is to automate
decision-making processes by "learning" from known examples to determine an underlying structure in
the data. Emphasis in on the ability to generate structure or predictions from data without human help.
Deep Learning - (ANSWER)Relies on sophisticated algorithms to address highly complex tasks, such as
image classification, face recognition, speech recognition, and natural language processing
Supervised Learning - (ANSWER)Uses algorithms that infer patterns between a set of inputs and labeled
output. The inferred pattern is then used to map a new input set into a predicted output
Unsupervised Learning - (ANSWER)Does not use labeled data. Because the algorithm is not trained with
labeled output data, the algorithm seeks to discover structure within the data themselves
Applying Machine Learning to Investment Management - (ANSWER)Exploding volume and diversity of
data, as well as increasing economic value of insights extracted from basic data, have made a basic
understanding of data science an important part of the tool kit for investment management
Artificial Intelligence - (ANSWER)Application of computational tools to address tasks traditionally
requiring human sophistication. Can be applied to the problem of big data
Reinforced Learning - (ANSWER)Falls in between supervised and unsupervised learning. Algorithm is fed
unlabeled data set, chooses an action for each data point, and receives feedback that helps the
algorithm learn.
, FINTECH EXAM 2 QUESTIONS WITH DETAILED VERIFIED AND
100% ACCURATE ANSWERS LATEST UPDATE ALREADY GRADED
A+
4 V's of Big Data - (ANSWER)Volume, Velocity, Veracity, Variety
Volume - Big Data - (ANSWER)Huge data size, terabytes - perabytes
Velocity - Big Data - (ANSWER)High speed of data flow, change and processing
Variety - Big Data - (ANSWER)Various Data Sources (Social, Mobile, M2M, structured and unstructured
data)
Veracity - Big Data - (ANSWER)Various levels of data uncertainty and reliability
Blockchain technology - (ANSWER)A form of distributed ledger technology(DLT). Transparent
transactions that are secure and synchronized. Transactions are put into a block and each block is
connected to the one before and after
Distributed Ledger Technology (DLT) - (ANSWER)Records the exchange of money, how goods flow
through a supply chain or making contractual agreements
3 Key features that make Hyper Ledger Technology unique to a regulated industry - (ANSWER)1.
Distributed - works as a shared form of ledger keeping so no one person owns the ledger system
2. Permissioned
3. Secure
Smart Contracts - (ANSWER)Digital agreements that execute automatically based on real world inputs in
data
Automated processes that are transparent and trustworthy
Eliminates the need for a middle man
100% ACCURATE ANSWERS LATEST UPDATE ALREADY GRADED
A+
Internet of Things (IoT) - (ANSWER)a world where interconnected, Internet-enabled devices or "things"
can collect and share data without human intervention
AI and Machine Learning in Finance - (ANSWER)Used to assess credit, optimize scarce capital, find signals
for higher returns and optimize trading execution, used by public and private sector for regulatory
compliance, surveillance, data quality assessment and fraud detection
Machine Learning - (ANSWER)Seeks to extract info from large amounts of data. Goal is to automate
decision-making processes by "learning" from known examples to determine an underlying structure in
the data. Emphasis in on the ability to generate structure or predictions from data without human help.
Deep Learning - (ANSWER)Relies on sophisticated algorithms to address highly complex tasks, such as
image classification, face recognition, speech recognition, and natural language processing
Supervised Learning - (ANSWER)Uses algorithms that infer patterns between a set of inputs and labeled
output. The inferred pattern is then used to map a new input set into a predicted output
Unsupervised Learning - (ANSWER)Does not use labeled data. Because the algorithm is not trained with
labeled output data, the algorithm seeks to discover structure within the data themselves
Applying Machine Learning to Investment Management - (ANSWER)Exploding volume and diversity of
data, as well as increasing economic value of insights extracted from basic data, have made a basic
understanding of data science an important part of the tool kit for investment management
Artificial Intelligence - (ANSWER)Application of computational tools to address tasks traditionally
requiring human sophistication. Can be applied to the problem of big data
Reinforced Learning - (ANSWER)Falls in between supervised and unsupervised learning. Algorithm is fed
unlabeled data set, chooses an action for each data point, and receives feedback that helps the
algorithm learn.
, FINTECH EXAM 2 QUESTIONS WITH DETAILED VERIFIED AND
100% ACCURATE ANSWERS LATEST UPDATE ALREADY GRADED
A+
4 V's of Big Data - (ANSWER)Volume, Velocity, Veracity, Variety
Volume - Big Data - (ANSWER)Huge data size, terabytes - perabytes
Velocity - Big Data - (ANSWER)High speed of data flow, change and processing
Variety - Big Data - (ANSWER)Various Data Sources (Social, Mobile, M2M, structured and unstructured
data)
Veracity - Big Data - (ANSWER)Various levels of data uncertainty and reliability
Blockchain technology - (ANSWER)A form of distributed ledger technology(DLT). Transparent
transactions that are secure and synchronized. Transactions are put into a block and each block is
connected to the one before and after
Distributed Ledger Technology (DLT) - (ANSWER)Records the exchange of money, how goods flow
through a supply chain or making contractual agreements
3 Key features that make Hyper Ledger Technology unique to a regulated industry - (ANSWER)1.
Distributed - works as a shared form of ledger keeping so no one person owns the ledger system
2. Permissioned
3. Secure
Smart Contracts - (ANSWER)Digital agreements that execute automatically based on real world inputs in
data
Automated processes that are transparent and trustworthy
Eliminates the need for a middle man
