What is a primary use of predictive analytics in trade finance?

Storing trade documents securely

Encrypting communication between parties

Validating the identity of trade participants

Forecasting future trade volumes and pricing trends

How does AI assist in meeting anti-money laundering (AML) requirements in trade finance?

By automatically generating suspicious activity reports (SARs) without human review

By encrypting all transaction data to prevent regulatory access

By monitoring transactions and flagging potentially suspicious patterns

By storing AML records on a private blockchain

How does AI verify the authenticity of trade documents?

By requiring a notary to sign the document

By comparing document data against known patterns and external databases

By using a digital signature from the sender

By storing the document on a private blockchain

A bank must submit suspicious activity reports (SARs) to regulators within 30 days of detecting unusual transactions. Their current AI system flags many transactions, but compliance officers spend too much time reviewing false positives. The bank wants to reduce the review burden while still meeting regulatory deadlines. What is the best approach?

Increase the AI model's threshold to only flag transactions above $1 million.

Use AI to prioritize alerts by risk score and automate the collection of supporting evidence for high-risk cases.

Extend the reporting deadline to 60 days to allow more time for manual review.

Submit SARs for every flagged transaction without human review.

What is a common challenge faced when implementing AI in blockchain trade finance?

Lack of high-quality training data

AI making decisions too quickly

Too much transparency in the system

Blockchain being too fast for AI to process

EC-CouncilBlockchain Business Leader Certification

Domain 6Objective 5

AI-Driven Innovations in Blockchain-Based Trade Finance BBLC Practice Questions (Page 1)

Part of the Business Use Cases and Trade Finance domain, which makes up ~13% of our current practice bank.

48questions here

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8concepts

Questions 1–5

1foundation · easy
What is a primary use of predictive analytics in trade finance?
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2foundation · easy
How does AI assist in meeting anti-money laundering (AML) requirements in trade finance?
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3foundation · easy
How does AI verify the authenticity of trade documents?
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4application · medium
A bank must submit suspicious activity reports (SARs) to regulators within 30 days of detecting unusual transactions. Their current AI system flags many transactions, but compliance officers spend too much time reviewing false positives. The bank wants to reduce the review burden while still meeting regulatory deadlines. What is the best approach?
Select an answer first
5foundation · easy
What is a common challenge faced when implementing AI in blockchain trade finance?
Select an answer first

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