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ACAMS CCAS Exam Overview:

Certification Vendor:ACAMS
Exam Name:ACAMS Certified Cryptoasset Anti-Financial Crime Specialist Examination
Exam Number:CCAS
Exam Format:Computer-based exam, Online proctored (typical ACAMS format), Multiple choice
Available Languages:English
Recommended Training:ACAMS Training Programs
Exam Registration:ACAMS CCAS Official Certification Page
ACAMS Official Website
Sample Questions:ACAMS CCAS Sample Questions
Exam Way:Online proctored exam (typical ACAMS certification delivery)
Official Syllabus URL:https://www.acams.org/en/training/certificates/ccas

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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.

ACAMS Certified Cryptoasset Anti-Financial Crime Specialist Examination Sample Questions (Q98-Q103):

NEW QUESTION # 98
A politically exposed person (PEP) opens a crypto account. What is the required action?

Answer: C

Explanation:
PEPs require enhanced scrutiny under FATF Recommendation 12, including senior management approval and source of funds verification.


NEW QUESTION # 99
What Is the purpose of applying learning (ML) or artificial Intelligence (Al) within a compliance framework? (Select two.)

Answer: A,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 # 100
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?

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 # 101
Which of the following are red flag indicators specifically related to anonymity? (Select Two.)

Answer: C,E

Explanation:
Anonymity red flags in crypto include the use of:
Decentralized or hardware wallets (A): These wallets are often unhosted and can facilitate anonymous transfers across borders, complicating AML controls.
Mixing services (B): These obscure transaction trails by blending multiple users' funds, enhancing anonymity and increasing ML risk.
Privacy-oriented email services (C), fraudulent scheme-linked assets (D), and unusual sign-on activity (E) are also risk indicators but not specifically tied to anonymity in cryptoasset transactions.
AML guidance and thematic reviews emphasize A and B as key anonymity-related red flags.


NEW QUESTION # 102
When enhances international cooperation with regard to law enforcement investigations of virtual asset (VA) crimes?

Answer: B

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 # 103
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