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【General】 CCAS Guide Torrent | CCAS Reliable Exam Simulator

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ACAMS Certified Cryptoasset Anti-Financial Crime Specialist Examination Sample Questions (Q52-Q57):NEW QUESTION # 52
Which scenario most likely indicates active involvement of a customer in scam activities?
  • A. Direct receiving from a scam cluster
  • B. Indirect receiving from a scam cluster
  • C. Indirect sending to a scam cluster
  • D. Direct sending to a scam cluster
Answer: D
Explanation:
Directly sending to a scam cluster is a strong indicator of active participation rather than passive exposure, triggering SAR obligations.

NEW QUESTION # 53
Which features are used by anonymity-enhanced cryptoassets to reduce transparency of transactions and identities? (Select Two.)
  • A. Secure hashing algorithm 256
  • B. Cryptographic enhancements
  • C. Proof-of-stake mining
  • D. Automatic mixing
  • E. MetaMask wallet
Answer: B,D
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 # 54
What is a "smart contract"?
  • A. A cold storage wallet type.
  • B. A compliance monitoring tool.
  • C. A self-executing code stored on blockchain.
  • D. A legal agreement stored offline.
Answer: C
Explanation:
Smart contracts execute predetermined conditions automatically on blockchain, enabling decentralized applications and services.

NEW QUESTION # 55
What is the correct risk assessment equation used in AML/CFT compliance frameworks, including for cryptoasset risk evaluations?
  • A. Residual Risk + Control Effectiveness = Inherent Risk
  • B. Inherent Risk - Residual Risk = Control Effectiveness
  • C. Inherent Risk + Control Effectiveness = Residual Risk
  • D. Inherent Risk - Control Effectiveness = Residual Risk
Answer: D
Explanation:
In risk-based AML/CFT programs - including those applied to Virtual Asset Service Providers (VASPs) - risk assessment determines the remaining exposure after applying mitigating measures.
Inherent Risk: The natural level of risk before applying any controls, based on factors like customer profile, transaction patterns, and jurisdiction.
Control Effectiveness: The degree to which implemented controls (e.g., CDD, EDD, sanctions screening, blockchain analytics) reduce risk.
Residual Risk: The risk that remains after controls are applied and is the level an organization must either accept, reduce further, or avoid.
The standard formula is:
Inherent Risk - Control Effectiveness = Residual Risk
This equation is emphasized in FATF's risk-based approach guidance and reinforced in DIFC (DFSA) and ADGM (FSRA) AML rules to ensure ongoing monitoring and governance oversight of remaining risks.

NEW QUESTION # 56
Which is an example of "structuring" in crypto transactions?
  • A. Exchanging one crypto for another.
  • B. Sending multiple sub-threshold transactions to avoid reporting.
  • C. Using a decentralized exchange.
  • D. Engaging in staking.
Answer: B
Explanation:
Structuring (smurfing) involves breaking transactions into smaller amounts to evade AML reporting thresholds, a classic ML tactic.

NEW QUESTION # 57
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