How should an investigator use transaction history to determine whether cryptoassets were previously involved in money laundering?
Answer(s): C
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.
A compliance officer at an exchange who is conducting an annual risk assessment identifies an increased volume of transactions to and from unhosted wallets. Based on Financial Action Task Force guidance, which inherent risk rating would be most appropriate for the compliance officer to assign to such activities?
Answer(s): D
The Financial Action Task Force (FATF) guidance on Virtual Assets and Virtual Asset Service Providers (VASPs) explicitly highlights that transactions involving unhosted wallets (wallets not held or controlled by a regulated entity) pose a high inherent risk for money laundering and terrorist financing. This is because unhosted wallets are more difficult to monitor and control, lack identifiable customer information, and are often exploited for illicit activities.The DFSA AML Module, aligned with FATF recommendations, mandates that Relevant Persons incorporate this risk into their business-wide risk assessments. The increased volume of transactions to and from unhosted wallets should therefore be assigned a high inherent risk rating to trigger enhanced controls such as enhanced due diligence (EDD) and transaction monitoring.Supporting extracts include:FATF Guidance on Virtual Assets (October 2021) states: "Unhosted wallets or transactions with them represent a high risk of ML/TF due to limited or no access to identifying information."DFSA AML Module (AML/VER25/05-24) Section 4.1 & 6.1 on Risk-Based Approach: mandates firms to assess and rate risks posed by customers and products, explicitly including virtual assets and unhosted wallets as high risk.COB Module also requires heightened controls and disclosures when dealing with transactions involving unhosted walletsAML/VER25/05-24: Sections 4.1, 6.1, COB/VER45/05-24: Sections 6.13, 15.6.Thus, option D (High) is the correct risk rating.
Which features are used by anonymity-enhanced cryptoassets to reduce transparency of transactions and identities? (Select Two.)
Answer(s): B,D
Anonymity-enhanced cryptoassets employ specific technical features to obfuscate the details of transactions and the identities of users to reduce traceability and increase privacy. These include:Automatic mixing (B): This refers to mechanisms such as coin mixers or tumblers that combine multiple transactions from different users into one batch and redistribute them, breaking the direct transaction link and obscuring the audit trail.Cryptographic enhancements (D): Techniques such as zero-knowledge proofs, ring signatures, stealth addresses, and confidential transactions are cryptographic protocols that conceal sender, receiver, and transaction amount information, making the blockchain ledger less transparent.Other options explained:Proof-of-stake mining (A) is a consensus mechanism and not related to anonymity features.Secure hashing algorithm 256 (C) is a cryptographic hash function standard but does not directly enhance anonymity.MetaMask wallet (E) is a non-custodial wallet used mainly for Ethereum and tokens but is not an anonymity tool.Reference from official crypto AML guidance and typology papers:DFSA AML Module and thematic reviews highlight these anonymity techniques as high-risk indicators requiring enhanced due diligence (EDD).UAE typology papers and FATF virtual asset guidance emphasize the risk posed by anonymity- enhanced cryptoassets using automatic mixing and cryptographic enhancements to circumvent AML controlsAML/VER25/05-24: Sections 6.4, 7.3; 31.92._TFS_Typology_Paper_Eng__4.pdf.
What is indirect exposure in regards to blockchain analytics transaction monitoring?
Answer(s): B
Indirect exposure refers to a situation where cryptoassets are not directly associated with illicit activity but have transactional links through other addresses that are associated with risky or illicit behavior. Blockchain analytics tools detect these indirect links to flagged addresses, allowing firms to assess risk based on network connections rather than direct ownership or activity.The DFSA AML guidance and international FATF Virtual Assets guidance explain that indirect exposure is a critical concept for transaction monitoring as it broadens the detection scope beyond direct transactions, flagging assets that might be "tainted" through intermediary addresses.
FATF Guidance on Virtual Assets and VASPs emphasizes monitoring both direct and indirect exposure of wallets to illicit activity.DFSA AML Module Section 13 on Suspicious Activity Reports requires firms to incorporate indirect exposure assessments in their monitoring systemsAML/VER25/05-24: Sections 4.1, 6.3, 13.3; FATF VA Guidance 2021.Therefore, B is the correct definition.
Which level of an organization is ultimately responsible for risk oversight?
The ultimate responsibility for risk oversight lies with the Board of Directors. Senior management and the board have the fiduciary and governance duty to ensure that an effective risk management framework, including AML/CFT controls and cryptoasset-specific risks, is in place and functioning properly.The DFSA GEN Module and AML Module explicitly allocate the highest accountability for compliance and risk oversight to the Board of Directors, while first and second lines support implementation and oversight respectively. The Chief Risk Officer (CRO) supports risk management but the board maintains ultimate accountability.Key extracts:GEN Module, Chapter 5: "Responsibility for compliance lies with every member of senior management, with ultimate oversight by the Board."AML Module Section 1.2 & 4.1: "Senior management and Board must ensure appropriate systems and controls for AML/CFT risk management."FATF Recommendation 2 underscores that senior management and boards are accountable for effective AML governanceGEN/VER64/05-24: Chapter 5; AML/VER25/05-24: Sections 1.2, 4.1.Thus, D is the correct answer.
Which is the first action a virtual asset service provider (VASP) should take when it finds out that its customers are engaging in virtual asset (VA) transfers related to unhosted wallets and peer-to-peer (P2P) transactions?
Upon identifying customer engagement with unhosted wallets or P2P transfers, the first step a VASP should take is to collect and assess data on such transactions. This assessment helps determine if these activities fall within the firm's risk appetite and what enhanced controls or actions may be needed.Immediate account freezing (B) is not the first step without assessment; neither is allowing transfers (A) without risk consideration. Enhancing risk frameworks (D) is important but follows from an initial data-driven risk assessment.Relevant guidance:FATF Recommendations and DFSA AML Module require VASPs to maintain a risk-based approach that begins with data collection and risk assessment on unhosted wallet transactions.The DFSA's 2023 Dear MLRO letters and thematic reviews stress proportionality and evidence-based responses rather than immediate punitive measures.Enhanced due diligence (EDD) and risk mitigation measures, including potentially freezing accounts, come after assessment of the risk levelAML/VER25/05-24: Sections 4.1, 6.4, 13; 20230406Dear_MLRO_Letter_re_IEMS.pdf.Hence, C is the appropriate first action.
In a blockchain 51% attack, what does 51% refer to?
A 51% attack refers to a situation where a single miner or group controls more than 50% of the blockchain network's computational (hashing) power. This majority control allows them to manipulate the blockchain ledger by double-spending or blocking transactions.This term is widely recognized in blockchain security contexts and is referenced in typology papers on crypto financial crime risks, including those issued by UAE authorities and FATF.Supporting extracts:DFSA AML thematic reviews mention the risk of manipulation and double spending in blockchains susceptible to 51% attacks.Typology reports on cryptoasset risks highlight computational power concentration as a core vulnerability."51% refers to the percentage of total mining power or computational power in the network" is the standard definition across crypto AML/CFT frameworks31.92._TFS_Typology_Paper_Eng__4.pdf; AMLCFT_Guidance_for_FIs.pdf.Thus, C is correct.
How does law enforcement use Suspicious Activity Reports (SARs)? (Select Two.)
Answer(s): C,D
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.
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