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質問 # 51
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?
正解：C
解説：
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.
質問 # 52
Which features are used by anonymity-enhanced cryptoassets to reduce transparency of transactions and identities? (Select Two.)
正解：B、C
解説：
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】.
質問 # 53
According to me Financial Action Task Force's (FATF's> definition of virtual asset service provider (VASP), for which activity is an entity required to be licensee or registered as a VASP in the jurisdiction(s) where they are created?
正解：C
解説：
FATF defines VASPs as entities that conduct certain specified activities involving virtual assets. Licensing or registration as a VASP is required primarily for entities engaged in activities such as safekeeping and/or administration of virtual assets or conducting exchanges between one or more forms of virtual assets.
Cryptocurrency mining operations (A) and operating blockchain nodes (C) are generally excluded from the VASP definition because they do not involve handling customer funds or providing financial services. Virtual money service businesses (D) is a broader term that may include VASPs but not all such businesses fall under VASP regulations unless they meet the activity criteria.
This aligns with the DFSA AML Module and FATF Recommendation 15, which regulate entities providing virtual asset custody or exchange services to customers and require them to be licensed or registered.
質問 # 54
Which type of wallet poses the highest AML risk?
正解：C
解説：
Unhosted wallets allow direct user control without third-party oversight, making them harder to monitor and more vulnerable to misuse.
質問 # 55
Misconfigured smart contracts can allow which type of scam to occur?
正解：B
解説：
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.
質問 # 56
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