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[General] Free PDF 2026 Efficient CCAS: Real Certified Cryptoasset Anti-Financial Crime Sp

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【General】 Free PDF 2026 Efficient CCAS: Real Certified Cryptoasset Anti-Financial Crime Sp

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ACAMS CCAS Exam Syllabus Topics:
TopicDetails
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 (Q42-Q47):NEW QUESTION # 42
A virtual asset service provider (VASP) is using public information on the blockchain to trace a wallet address. Which additional step is necessary to identify the owner or controller of that address?
  • A. Obtain further information connecting wallet address to virtual asset transactions.
  • B. Acquire information to connect the wallet address to a natural person.
  • C. Screen the wallet address for any historical transaction activity.
  • D. Review the wallet address information periodically.
Answer: B
Explanation:
Public blockchain data is pseudonymous, meaning wallet addresses alone do not reveal the owner's identity. To identify the natural person controlling the wallet, the VASP must acquire additional information, typically through customer due diligence (CDD) processes or data obtained from exchanges and counterparties, linking the wallet address to an individual.
Periodic review (A), transaction screening (C), and obtaining transactional data (D) support ongoing monitoring but do not alone establish identity.
AML and FATF guidance emphasize that ownership linkage requires collecting identifying information beyond blockchain data to comply with AML regulations.

NEW QUESTION # 43
Which term describes converting one cryptoasset into another without first converting to fiat?
  • A. Integration
  • B. Chain hopping
  • C. Structuring
  • D. Layering
Answer: B
Explanation:
Chain hopping involves moving between blockchains to make tracing harder, often exploiting regulatory gaps.

NEW QUESTION # 44
An investigations manager at a cryptoasset exchange is developing an AML risk-rating framework for cryptoassets under consideration for support by the exchange. Which criteria is most important for rating the residual AML risk of a particular cryptoasset?
  • A. The profitability of the cryptoasset for the exchange's business
  • B. How the cryptoasset will be monitored for unusual activity
  • C. Whether the blockchain of the asset is public or private
  • D. The number of other exchanges that support the cryptoasset
Answer: B
Explanation:
The ability to monitor the cryptoasset for unusual activity directly impacts the residual AML risk, as effective monitoring enables detection and prevention of illicit transactions. Even if a blockchain is public or private (A), or the asset is profitable (B), the lack of proper monitoring mechanisms increases risk. The number of exchanges supporting the asset (D) is less significant than monitoring capability.
AML frameworks and DFSA guidance stress that risk mitigation depends heavily on effective transaction monitoring.

NEW QUESTION # 45
How does law enforcement use Suspicious Activity Reports (SARs)? (Select Two.)
  • A. To confirm or develop information on existing targets
  • B. To identify regulatory failings
  • C. To produce evidence of money laundering that can be used in court
  • D. To develop intelligence on new targets
Answer: A,D
Explanation:
Suspicious Activity Reports (SARs) are a critical tool for law enforcement agencies. They are primarily used to develop intelligence on potential new criminal targets and to confirm or expand information about existing investigations. SARs do not serve as direct evidence of money laundering in court but provide leads and context that enable law enforcement to build cases.
The DFSA's thematic reviews and AML guidance clarify that SARs assist in identifying emerging crime patterns and help intelligence units track suspicious transactions over time. They also allow law enforcement to corroborate data from other sources.
SARs help:
Develop intelligence on new targets (C) by revealing previously unknown suspicious behavior.
Confirm or develop information on existing targets (D) by adding transactional data and context.
Identifying regulatory failings (A) is primarily a supervisory function, and SARs themselves are not evidence for prosecution (B) but intelligence inputs.
Therefore, options C and D are correct.

NEW QUESTION # 46
Which virtual asset relies on an account-based ledger model?
  • A. Ethereum
  • B. Bitcoin
  • C. Monero
  • D. Litecoin
Answer: A
Explanation:
Ethereum uses an account-based ledger model where balances are maintained per account, similar to bank accounts, and transactions update balances directly. This differs from Bitcoin, Litecoin, and Monero, which use the UTXO (Unspent Transaction Output) model.
Understanding ledger models is important for AML transaction monitoring and blockchain analytics, as account-based systems enable different tracking and risk assessment approaches.

NEW QUESTION # 47
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