Pass Guaranteed 2026 CCAS: Certified Cryptoasset Anti-Financial Crime Specialist Examination Pass-Sure Exam Assessment

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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 (Q89-Q94):

NEW QUESTION # 89
When enhances international cooperation with regard to law enforcement investigations of virtual asset (VA) crimes?

Answer: A

Explanation:
Enhanced international cooperation in VA crime investigations is most effective when jurisdictions designate and empower Financial Intelligence Units (FIUs) that can share intelligence, coordinate cross-border investigations, and liaise with counterparts internationally.
While FATF membership (A) facilitates cooperation, the operational hub for investigations is the FIU. Establishing new agencies (B) or smart contracts for sharing (C) are not established or effective methods.
DFSA guidance and FATF recommendations stress the central role of FIUs in enhancing cooperation and intelligence sharing for AML/CFT, including virtual assets.


NEW QUESTION # 90
Which is the discipline of risk management related to the risk of algorithms, machine learning, and artificial intelligence within the transaction monitoring and screening software that a virtual asset service provider acquires from a vendor?

Answer: D

Explanation:
Model risk management is the discipline focused on managing risks arising from the use of models, including those based on algorithms, machine learning, and AI in transaction monitoring and screening software.
DFSA and global AML frameworks highlight the need for strong model risk governance to ensure accurate detection and compliance.


NEW QUESTION # 91
What Is the purpose of applying learning (ML) or artificial Intelligence (Al) within a compliance framework? (Select two.)

Answer: B,D

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 # 92
Which scenario most likely indicates potential active involvement of a customer in virtual asset related scam activities?

Answer: D

Explanation:
Direct sending to a scam cluster indicates active involvement by the customer in potentially transferring funds associated with fraudulent activities. Sending funds directly to known scam addresses is a strong indicator of complicity or direct engagement.
Indirect flows (A and B) could be less conclusive, and direct receiving (D) may indicate victimhood rather than active involvement.
AML typologies and DFSA guidance identify direct outgoing transactions to scam clusters as significant red flags.


NEW QUESTION # 93
Which is the most important consideration when assessing compromise risks when creating a decentralized finance protocol or smart contract?

Answer: C

Explanation:
Code uniqueness is critical because reuse or replication of vulnerable code exposes protocols to known exploits. Unique, well-audited, and secure code minimizes compromise risk in decentralized finance (DeFi) and smart contracts.
Security standards (A), authentication (B), and regulation (C) are important but secondary to the fundamental security of the code itself.


NEW QUESTION # 94
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