CCAS Practice Dumps – Verified By DumpsTests Updated 102 Questions [Q46-Q60]

CCAS ACAMS

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January 12, 2026

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CCAS Practice Dumps – Verified By DumpsTests Updated 102 Questions

Updated CCAS Exam Dumps – PDF Questions and Testing Engine

ACAMS CCAS Exam Syllabus Topics:

Topic	Details
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.

NEW QUESTION 46
Which key type of information allows financial intelligence units to combat the risk of anonymity in virtual currencies?

The data referring to the timing of the transaction

The data reconciling the transaction and the identity of the receiver

The data connecting the transaction information to the virtual address

The data associating the virtual address to the identity of the owner

The most critical information enabling FIUs to address anonymity risks is data linking a virtual address to the real-world identity of its owner. Without this association, blockchain addresses remain pseudonymous, hindering effective AML efforts.
While transaction timing (A), identity of receiver (B), and transaction-to-address mapping (C) are useful, ownership linkage (D) is essential to break anonymity.
FATF and DFSA guidance prioritize obtaining ownership information through KYC and intelligence sharing.

NEW QUESTION 47
In considering particular virtual asset products, services, or activities, which features should be considered by management?

Ability for other virtual asset service providers (VASPs) to utilize the service to provide services to their own customers.

Ability to mingle funds within wider pools.

Regulatory expectations.

Transaction volumes.

Management must consider a comprehensive set of features when evaluating virtual asset products and services, including:
Ability for other VASPs to utilize the service (A): This increases risk exposure as services may be used indirectly by unknown parties.
Ability to mingle funds within wider pools (B): Mixing services or pooled wallets increase anonymity and laundering risk.
Regulatory expectations (C): Management must ensure compliance with all applicable laws and guidelines.
Transaction volumes (D): High transaction volumes can increase operational risk and require enhanced monitoring.
The DFSA AML and COB Modules, as well as FATF guidance, stress that a risk-based approach requires consideration of all these features in product/service risk assessments.

NEW QUESTION 48
Which FATF Recommendation specifically addresses virtual assets and VASPs?

R.12

R.15

R.20

R.22

FATF Recommendation 15 requires countries to regulate VASPs for AML/CFT purposes, applying the same preventive measures as financial institutions.

NEW QUESTION 49
A customer who runs a cryptoasset automated teller machine (ATM) comes into a financial institution and deposits a larger than usual amount. When asked about the deposit, the customer answers there has been broader adoption of cryptoassets in the region where the ATM is located. Which additional information about the business would indicate high risk for money laundering? (Select Two.)

The volume and the number of users increase.

The cryptoasset ATM supports a variety of cryptoassets.

The region is neighboring with a narcotic-producing jurisdiction.

The region is located within a high-risk jurisdiction.

The cryptoasset ATM was recently licensed.

Money laundering risk increases if the business operates in or near high-risk jurisdictions (D) or regions associated with narcotics production (C), as these are common sources of illicit funds.
An increase in volume and users (A) or supporting various cryptoassets (B) alone does not necessarily increase ML risk. Recent licensing (E) may indicate regulatory compliance, potentially lowering risk.

NEW QUESTION 50
Misconfigured smart contracts can allow which type of scam to occur?

Phishing

SIM

Rug pull

Ransomware

Misconfigured or poorly designed smart contracts can enable rug pull scams, where developers create fraudulent decentralized finance (DeFi) projects or tokens and then withdraw liquidity or funds abruptly, leaving investors with worthless assets.
Phishing (A) and SIM attacks (B) relate to social engineering and telecom fraud, respectively, and ransomware (D) is malware demanding payment. Rug pulls specifically exploit smart contract vulnerabilities.
The DFSA and AML thematic reviews on crypto highlight rug pull scams as a key operational and financial crime risk linked to smart contract vulnerabilities.

NEW QUESTION 51
A firm using blockchain analytics finds an address that sent funds through multiple hops before reaching a darknet market wallet. This is an example of:

Direct exposure

Indirect exposure

Mixing

Transaction batching

Indirect exposure occurs when funds pass through one or more intermediary wallets before reaching a known illicit destination. This requires enhanced monitoring to capture risks that are not directly linked but are part of the transaction chain.

NEW QUESTION 52
Which scenario most likely indicates potential active involvement of a customer in virtual asset related scam activities?

Indirect receiving from a scam cluster

Indirect sending to a scam cluster

Direct sending to a scam cluster

Direct receiving from a scam cluster

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 53
How should an investigator use transaction history to determine whether cryptoassets were previously involved in money laundering?

Assess the identity of the cryptoasset owner.

Assess other assets held by the cryptoasset owner.

Assess the cryptoasset addresses’ receiving exposure to illicit activity.

Assess the jurisdiction where the transactions took place.

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 54
Which are essential components of an AML program for Customer Due Diligence (CDD)? (Select Three.)

Requirement for training of staff responsible for gathering CDD information

Requirement to keep all information necessary to maintain a customer’s risk profile

Requirement to maintain an accurate and complete list of virtual assets exposed to high risk of misuse

Procedures to annually review all clients

Procedures to ensure that high-risk customers’ IP addresses are subject to ongoing monitoring

Procedures to address circumstances where the true identity of a customer is questionable

An effective AML CDD program must include:
Staff training on gathering CDD (A)
Maintaining complete information to support risk profiling (B)
Procedures to address situations where the customer’s true identity is unclear or questionable (F) Annual client reviews (D) and IP address monitoring (E) may be part of broader AML controls but are not fundamental CDD requirements. Maintaining a list of high-risk virtual assets (C) is important but relates more to product risk management than direct CDD.

NEW QUESTION 55
Which is a primary benefit of blockchain transparency for AML compliance?

Real-time price tracking

Ability to trace historical transactions

Reducing market volatility

Automatic sanctions screening

Blockchain’s transparent ledger enables investigators to trace transaction histories indefinitely, aiding ML/TF detection.

NEW QUESTION 56
If a VASP suspects a transaction involves a sanctioned entity, it must:

Report only if over USD 10,000

File a SAR and freeze assets if required by law

Wait for law enforcement confirmation

Cancel the customer account immediately without reporting

Sanctions breaches require immediate reporting to competent authorities and freezing of assets where legally mandated.

NEW QUESTION 57
Which blockchain characteristic makes forensic tracing of transactions possible?

Smart contract automation

Decentralized governance

Immutable public ledger

Sharding

Blockchain’s immutability ensures that all transactions remain permanently recorded and tamper-proof, enabling blockchain analytics to trace illicit funds. This property is leveraged in crypto forensic investigations and AML monitoring.

NEW QUESTION 58
Which is a core component of customer due diligence (CDD)?

Transaction batching

Identity verification

Token staking

Node validation

CDD includes verifying the customer’s identity using reliable, independent documentation before or during onboarding.

NEW QUESTION 59
Which blockchain feature ensures that once a block is added, it cannot be altered without network consensus?

Consensus algorithm

Hash immutability

Tokenization

Peer-to-peer networking

Hash immutability means that altering any transaction would require changing all subsequent blocks and achieving majority consensus. This security property underpins blockchain integrity and forensic traceability, crucial in AML investigations.

NEW QUESTION 60
Which features are used by anonymity-enhanced cryptoassets to reduce transparency of transactions and identities? (Select Two.)

Proof-of-stake mining

Automatic mixing

Secure hashing algorithm 256

Cryptographic enhancements

MetaMask wallet

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 controls【AML/VER25/05-24: Sections 6.4, 7.3; 31.92._TFS_Typology_Paper_Eng__4.pdf】.

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