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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

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.

Topic 3

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.

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ACAMS Certified Cryptoasset Anti-Financial Crime Specialist Examination Sample Questions (Q69-Q74):

NEW QUESTION # 69
A compliance officer is conducting an AML risk assessment of two different operating models: a centralized cryptoasset exchange and a decentralized cryptoasset exchange. Which key difference causes the compliance officer to risk-rate the decentralized exchange higher than the centralized exchange?

A. The supported asset types
B. The lack of a central counterparty
C. The cost of each transaction
D. The number of validator nodes

Answer: B

Explanation:
Decentralized exchanges lack a central counterparty responsible for AML compliance, making it difficult to enforce KYC/CDD, monitor transactions, or implement controls. This structural characteristic increases inherent AML risk compared to centralized exchanges, which have accountable operators.
Transaction cost (A), validator nodes (B), or asset types (D) are less impactful in the compliance risk rating.

NEW QUESTION # 70
Which features are used by anonymity-enhanced cryptoassets to reduce transparency of transactions and identities? (Select Two.)

A. Automatic mixing
B. Cryptographic enhancements
C. Secure hashing algorithm 256
D. Proof-of-stake mining
E. MetaMask wallet

Answer: A,B

Explanation:
Anonymity-enhanced cryptoassets employ specific technical features to obfuscate the details of transactions and the identities of users to reduce traceability and increase privacy. These include:
Automatic mixing (B): This refers to mechanisms such as coin mixers or tumblers that combine multiple transactions from different users into one batch and redistribute them, breaking the direct transaction link and obscuring the audit trail.
Cryptographic enhancements (D): Techniques such as zero-knowledge proofs, ring signatures, stealth addresses, and confidential transactions are cryptographic protocols that conceal sender, receiver, and transaction amount information, making the blockchain ledger less transparent.
Other options explained:
Proof-of-stake mining (A) is a consensus mechanism and not related to anonymity features.
Secure hashing algorithm 256 (C) is a cryptographic hash function standard but does not directly enhance anonymity.
MetaMask wallet (E) is a non-custodial wallet used mainly for Ethereum and tokens but is not an anonymity tool.
Reference from official crypto AML guidance and typology papers:
DFSA AML Module and thematic reviews highlight these anonymity techniques as high-risk indicators requiring enhanced due diligence (EDD).
UAE typology papers and FATF virtual asset guidance emphasize the risk posed by anonymity-enhanced cryptoassets using automatic mixing and cryptographic enhancements to circumvent AML controls【AML/VER25/05-24: Sections 6.4, 7.3; 31.92._TFS_Typology_Paper_Eng__4.pdf】.

NEW QUESTION # 71
In sanctions screening, a "fuzzy match" occurs when:

A. The customer is in a low-risk jurisdiction.
B. There is no match found.
C. Only wallet addresses match exactly.
D. A partial or near match to a sanctions list entry occurs.

Answer: D

Explanation:
Fuzzy matches require further review to confirm whether the match is a true hit or a false positive, ensuring compliance accuracy.

NEW QUESTION # 72
Which token type should be considered as carrying the highest risk when assessing the AML risks related to the customer's source of funds?

A. Security
B. Privacy
C. Stablecoin
D. Platform

Answer: B

Explanation:
Privacy tokens are specifically designed to obfuscate transaction details such as sender, recipient, and amounts, making them inherently high risk for money laundering and terrorist financing. Their anonymity-enhanced features pose significant challenges to AML efforts.
Stablecoins (B), platform tokens (C), and security tokens (D) have varying risk profiles but generally provide more transparency or are subject to regulatory frameworks, reducing inherent AML risk compared to privacy tokens.
FATF and DFSA AML frameworks highlight privacy tokens as a priority for enhanced due diligence and risk mitigation due to their abuse potential.

NEW QUESTION # 73
Which blockchain characteristic makes forensic tracing of transactions possible?

A. Immutable public ledger
B. Decentralized governance
C. Sharding
D. Smart contract automation

Answer: A

Explanation:
Blockchain's immutability ensures that all transactions remain permanently recorded and tamper-proof, enabling blockchain analytics to trace illicit funds. This property is leveraged in crypto forensic investigations and AML monitoring.

NEW QUESTION # 74
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