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ACAMS CCAS Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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 (Q12-Q17):

NEW QUESTION # 12
Which blockchain type is accessible only to a single organization?

A. Consortium
B. Private
C. Hybrid
D. Public

Answer: B

Explanation:
Private blockchains are controlled by a single organization with full access restrictions. This model is often used for internal record-keeping but lacks the decentralized trust of public chains.

NEW QUESTION # 13
A suspicious activity report was filed in the EU for a local company account that held funds generated by the sale of product coupons. A review of the account highlighted a login from an unconnected IP address. Despite repeated requests, the customer failed to provide information on the origins of the funds. Which is the main red flag here?

A. Virtual asset service providers outside of the EU are being relied upon.
B. There is a failure to cooperate with the source of funds requests.
C. Funds are generated by the sale of coupons which are connected to a physical product.
D. An IP address is being used that is not previously connected to that customer.

Answer: B

Explanation:
The main red flag is the customer's failure to cooperate with requests to provide information on the origin of funds, which undermines transparency and raises suspicion regarding the legitimacy of the funds.
While an unconnected IP address (D) is suspicious, non-cooperation (C) is a stronger indicator of potential money laundering.

NEW QUESTION # 14
Which metric is most relevant for assessing liquidity risk in a cryptoasset exchange?

A. Wallet address count
B. Order book depth and spread
C. Blockchain confirmation times
D. Number of listed tokens

Answer: B

Explanation:
Liquidity risk assessment focuses on the ability to execute trades without large price swings, which is reflected in order book depth and bid-ask spreads.

NEW QUESTION # 15
What is "hash rate" in blockchain?

A. The speed at which wallets are created.
B. The computational power used for mining.
C. The block size limit.
D. The transaction fee rate.

Answer: B

Explanation:
Hash rate measures computational power in Proof-of-Work blockchains; higher hash rates mean more secure networks against 51% attacks.

NEW QUESTION # 16
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?

A. Model risk management
B. Vendor risk management
C. Operational risk management
D. IT security risk management

Answer: A

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 # 17
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