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ACAMS CCAS Exam Syllabus Topics:

Topic	Details
Topic 1	Cryptoasset and Blockchain: This domain targets Blockchain Analysts and Crypto Risk Managers. It focuses on understanding cryptoasset technologies, blockchain fundamentals, and their operational characteristics. Candidates learn about cryptoasset transaction flows, wallets, exchanges, smart contracts, and the challenges these present to financial crime prevention.
Topic 2	Risk Management Programs for Cryptoasset and Blockchain: This section measures expertise of Compliance Managers and Risk Officers in developing and implementing risk management frameworks specifically for the crypto sector. It includes procedures for assessing crypto-related financial crime risks, designing controls, monitoring compliance, and adapting to emerging threats within the cryptoasset ecosystem.
Topic 3	AML Foundations for Cryptoasset and Blockchain: This section of the exam measures skills of Anti-Money Laundering (AML) Officers and Crypto Compliance Specialists. It covers foundational knowledge of AML principles tailored to the cryptoasset and blockchain environment, introducing the regulatory landscape, typologies of financial crime, and the evolving risks associated with cryptoassets.

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ACAMS Certified Cryptoasset Anti-Financial Crime Specialist Examination Sample Questions (Q91-Q96):

NEW QUESTION # 91
Which is a core component of customer due diligence (CDD)?

A. Transaction batching
B. Token staking
C. Identity verification
D. Node validation

Answer: C

Explanation:
CDD includes verifying the customer's identity using reliable, independent documentation before or during onboarding.

NEW QUESTION # 92
Which business category below is considered to present the highest risk of money laundering?

A. Pharmaceutical company
B. Registered hedge fund
C. Law firm
D. Art dealer

Answer: D

Explanation:
Art dealers present a high money laundering risk due to the subjective valuation of art, ease of transferring assets, and the potential for using art as a vehicle to conceal illicit funds.
Registered hedge funds (A) and law firms (C) have AML obligations but are generally more regulated. Pharmaceutical companies (B) are less associated with high ML risk.
The DFSA AML and FATF typology papers specifically identify art dealing as a sector with heightened ML risk.

NEW QUESTION # 93
What Is the purpose of applying learning (ML) or artificial Intelligence (Al) within a compliance framework? (Select two.)

A. To reduce the requirement for risk assessment
B. To focus skilled resource on higher value activity
C. To enhance efficiency
D. To reduce headcount

Answer: B,C

Explanation:
Machine learning (ML) and artificial intelligence (AI) are applied within compliance frameworks to enhance the efficiency of monitoring and detection processes and to allow skilled compliance resources to focus on higher-value activities such as complex investigations and strategic decision-making. ML/AI tools can process vast amounts of transaction data to identify suspicious patterns faster than manual processes.
They do not reduce the fundamental requirement for risk assessment (A) nor are they intended primarily to reduce headcount (C), but rather to optimize resource allocation.
AML and DFSA guidance emphasize leveraging technology to improve the effectiveness and efficiency of AML controls while maintaining robust risk management.

NEW QUESTION # 94
If a VASP suspects a transaction involves a sanctioned entity, it must:

A. Report only if over USD 10,000
B. Wait for law enforcement confirmation
C. File a SAR and freeze assets if required by law
D. Cancel the customer account immediately without reporting

Answer: C

Explanation:
Sanctions breaches require immediate reporting to competent authorities and freezing of assets where legally mandated.

NEW QUESTION # 95
Which are common red flags that indicate fraudulent activity in a decentralized finance marketplace? (Select Two.)

A. A coin is launched using an untested protocol; only a small number of wallets control the supply.
B. A non-fungible token is shared privately among a community of supporters via a non-fungible token airdrop; it is not linked to a specific web address to allow for trading.
C. A crypto entity is launched, has a bustling social media presence, and offers limited free non-fungible token incentives in exchange for new customer trading.
D. A token is introduced, is endorsed by high-profile celebrities, and the price of the coin steadily rises; there is no significant activity of selling the coin.
E. A coin is launched, has a low social media presence, has many wallet addresses controlling its supply, and has an original white paper published.

Answer: A,B

Explanation:
Red flags include private sharing of NFTs without public trading (A), indicating potential lack of transparency, and new coins with untested protocols controlled by few wallets (C), signaling possible manipulation or fraud.
Tokens endorsed by celebrities with price increases (D) or active social media presence (E) are less directly indicative of fraud but require monitoring. Low social media presence with wide ownership and original whitepapers (B) is typically less suspicious.

NEW QUESTION # 96
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