The FATF is an inter-governmental body that sets standards and promotes effective implementation of legal, regulatory, and operational measures for combating money laundering, terrorist financing, and other related threats to the integrity of the international financial system. The FATF conducts mutual evaluations of its members and other jurisdictions to assess their compliance with the FATF Recommendations and the effectiveness of their AML/CFT regimes1.
The FATF defines effectiveness as "the extent to which a country's AML/CFT regime is achieving the defined outcomes of an effective regime that allows them to mitigate their risks and threats of ML/TF"2. The FATF assesses effectiveness based on 11 immediate outcomes, which are grouped into three thematic goals: financial system integrity, legal system and operational issues, and international cooperation2.
One of the immediate outcomes under the financial system integrity goal is that "FIs adequately apply preventive measures commensurate with their risks, and report suspicious transactions" (IO.4)2. This outcome measures how well FIs implement the FATF Recommendations on customer due diligence, record-keeping, internal controls, risk assessment, and suspicious transaction reporting. These preventive measures are essential for FIs to identify and mitigate the risks of being misused for money laundering or terrorist financing, and to provide useful information to the authorities for investigation and prosecution2.
Therefore, the correct answer is D. FIs adequately apply preventive measures, as this is one of the FATF characteristics used to assess a country's effectiveness of its AML regime.
References:
FATF Methodology for assessing compliance with the FATF Recommendations and the effectiveness of AML/CFT systems An effective system to combat money laundering and terrorist financing

Dealers in antiques, precious metals, precious stones, jewelry, and art are advised to follow these practices to reduce the element of money laundering risk:
Verify the identities of all new vendors and customers and conduct due diligence on them. This is to ensure that the dealers know who they are dealing with and can assess the risk level of each customer or vendor. Due diligence may include obtaining and verifying identification documents, checking against sanctions lists or watchlists, obtaining information on the source and purpose of funds, and applying a risk-based approach to the level and frequency of due diligence.
Avoid accepting cash payment from the buyers. This is to prevent the dealers from being used as a conduit for laundering illicit cash or facilitating cash smuggling. Cash transactions are more difficult to trace and may indicate attempts to evade reporting or record-keeping requirements. Dealers should encourage the use of non-cash payment methods, such as bank transfers, cheques, or credit cards, and keep records of all payment transactions.
Insist all vendors submit an appropriate license issued by enforcement agencies authorizing the sale.
This is to ensure that the dealers are not involved in the trade of stolen, smuggled, or counterfeit goods, which may be linked to money laundering or other criminal activities. Dealers should verify the authenticity and validity of the licenses and keep copies of them for record-keeping purposes.
References:
FATF Guidance on the Risk-Based Approach for Dealers in Precious Metals and Stones, pages 9-10,
13-14, 17-18, 21-22
AML-CFT Handbook for Dealers in Precious Metals and Stones, pages 25-26, 37-38, 52-53 The anti-money laundering framework for precious stones and metals dealers in Singapore, pages 7-8,
11-12, 15-16
Dealers in Precious Metals, Stones or Jewels Required to Establish Anti-Money Laundering Programs, pages 2-3, 6-7, 10-11

Reference: https://www.imf.org/external/np/leg/sem/2002/cdmfl/eng/tompki.pdf (8)

The individual responsible for setting the anti-money laundering software parameters should recommend ensuring that the alert parameters are based on risk, rather than on default software rules. This means that the software should be configured to generate alerts only when transactions or customers exhibit a high level of risk, based on factors such as the source and destination of funds, the amount and frequency of transactions, the type and purpose of the account, the customer profile and behavior, and the presence of any red flags or indicators of money laundering or terrorist financing. By aligning the alert parameters with the risk assessment of the financial institution, the software can reduce the number of false positives and focus on the most relevant and suspicious cases, thus improving the efficiency and effectiveness of the anti-money laundering staff.
References:
Setting AML Transaction Monitoring Thresholds 1, ComplyAdvantage, 2020.
Machine learning techniques for anti-money laundering (AML) analysis: a survey 2, Springer, 2018.
Anti Money Laundering (AML) Definition: Its History and How It Works 3, Investopedia, 2021.