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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

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.

Topic 3

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.

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ACAMS CCAS Valid Exam Test & CCAS Pdf Format

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ACAMS Certified Cryptoasset Anti-Financial Crime Specialist Examination Sample Questions (Q63-Q68):

NEW QUESTION # 63
Which type of cryptoasset is explicitly designed to maintain a stable value?

A. Utility token
B. Privacy coin
C. Governance token
D. Stablecoin

Answer: D

Explanation:
Stablecoins aim to maintain value stability by pegging to assets like fiat currency or commodities. Regulators stress monitoring stablecoin reserve transparency to prevent misuse for layering illicit funds.

NEW QUESTION # 64
In the context of forensic cryptocurrency investigations, which statement best describes how attribution data are collected?

A. Taken from business-maintained records.
B. Obtained automatically from the darknet.
C. Gathered from a publicly available blockchain.
D. Derived from public and non-public sources.

Answer: D

Explanation:
Attribution data involves linking blockchain addresses to real-world entities, which is derived from a combination of public sources (blockchain explorers, public databases) and non-public sources (law enforcement databases, commercial analytics, exchange records).
Relying solely on blockchain data (C) or darknet sources (D) is insufficient. Business records (A) are part of non-public sources.
DFSA and FATF AML guidance underscore the multi-source approach for effective forensic attribution.

NEW QUESTION # 65
How should an investigator use transaction history to determine whether cryptoassets were previously involved in money laundering?

A. Assess the jurisdiction where the transactions took place.
B. Assess other assets held by the cryptoasset owner.
C. Assess the cryptoasset addresses' receiving exposure to illicit activity.
D. Assess the identity of the cryptoasset owner.

Answer: C

Explanation:
In the context of AML/CFT frameworks for cryptoassets, the investigation of transaction histories involves blockchain analysis tools to trace the flow of funds to and from crypto addresses. Specifically, it is essential to assess whether the addresses involved have had prior exposure to illicit activities such as known darknet marketplaces, ransomware payments, or sanctioned entities. This form of "address screening" helps identify potentially tainted cryptoassets.
The DFSA AML Module and associated guidance emphasize that transaction monitoring for cryptoassets requires analyzing the provenance of funds, not just ownership. While identifying the owner is part of customer due diligence (CDD), the transactional exposure itself reveals laundering risks embedded in the chain of transfers.
Extract from DFSA AML Module and COB Module on Crypto Business Rules:
"Transaction monitoring systems must include blockchain analysis to detect suspicious activity related to crypto tokens, including tracing transactions against known illicit sources."
"Enhanced due diligence (EDD) is required when a cryptoasset transaction involves addresses or wallets with a history of illicit activity."
"Risk-based approaches must integrate forensic review of transaction histories to assess financial crime risks in crypto asset transfers"【AML/VER25/05-24: Sections 6.3, 7.3, 13.3; COB/VER45/05-24: Sections 6.13, 15】.
Therefore, assessing the receiving exposure of cryptoasset addresses to illicit activity (Option C) is the most direct and effective method to detect laundering.

NEW QUESTION # 66
Which consensus mechanism uses staked tokens to validate transactions instead of computational power?

A. Proof-of-Stake
B. Proof-of-Work
C. Byzantine Fault Tolerance
D. Delegated Ledger Approval

Answer: A

Explanation:
Proof-of-Stake (PoS) replaces the energy-intensive mining process of Proof-of-Work by allowing validators to secure the network based on the amount of cryptocurrency they "stake" as collateral. Validators are rewarded for correctly validating transactions and risk losing their stake if they act dishonestly. Regulatory AML/CFT programs must consider validator concentration risks and the jurisdictional exposure of validators in PoS systems.

NEW QUESTION # 67
A compliance officer is conducting a customer risk review. Which statements represent the highest level of customer risk? (Select Two.)

A. A customer receiving cryptoassets daily from another virtual asset service provider located in a foreign jurisdiction which are then sent to a private wallet
B. A customer located in a foreign country donating 10,000 USD worth of cryptoassets to a charity for veterans in the US
C. A customer who uses a virtual private network (VPN) connection to access the customer's account
D. A business customer opting to pay suppliers in cryptoassets
E. A student customer depositing 15,000 USD over a period of a month, using the funds to purchase cryptoassets that are sent to another virtual asset service provider

Answer: A,E

Explanation:
When determining highest-risk customers under a risk-based approach, firms must consider transaction patterns, jurisdictions, counterparties, and destinations:
B: Large deposits by a student, rapidly converting to crypto and sending to another VASP, suggest potential layering and third-party funding risk.
D: Daily inbound transfers from a foreign VASP to a private (unhosted) wallet indicate consistent high-risk exposure - especially cross-border transactions involving unregulated or weakly regulated jurisdictions.
While VPN use (A) can be a red flag, on its own it is lower risk than significant suspicious fund flows. Paying suppliers in crypto (C) can be legitimate for businesses. A large donation to a charity (E) could be flagged depending on jurisdiction and cause, but is generally less inherently suspicious than B and D unless linked to high-risk entities.
FATF, DFSA, and FSRA AML rules stress that ongoing monitoring should identify these high-frequency, high-value, cross-border crypto flows as priority for Enhanced Due Diligence (EDD) and possible Suspicious Transaction Reports (STRs).

NEW QUESTION # 68
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