ACAMS Certified Anti-Money Laundering Specialist (CAMS7 the 7th edition) CAMS Exam Dumps: Updated Questions & Answers (March 2026)

Cross-border money laundering investigations frequently encounter obstacles arising from differences in legal systems, data protection laws, and investigative procedures. International AML/CFT guidance, including FATF recommendations, emphasizes the importance of formal legal cooperation mechanisms to overcome these challenges.

A Mutual Legal Assistance Treaty (MLAT) provides a structured and legally recognized framework for cooperation between jurisdictions. MLATs allow competent authorities to lawfully exchange information, obtain evidence, and coordinate investigative actions while respecting domestic legal requirements and data privacy obligations. This formal mechanism ensures that information shared is admissible and enforceable across jurisdictions.

Relying solely on informal communication channels is insufficient for complex investigations involving sensitive data and legal constraints. Engaging third-party consultants does not address legal barriers and may introduce confidentiality risks. Centralizing an investigation under a single jurisdiction would undermine sovereignty and is not consistent with international cooperation principles.

Therefore, establishing or utilizing an MLAT is the most effective and regulator-aligned approach to enhance cross-border cooperation in complex money laundering investigations.

Customer segmentation is a foundational element of effective transaction monitoring and is strongly aligned with the risk-based approach promoted by FATF and national regulators.

Customers differ significantly in their transaction behavior depending on factors such as customer type, industry, geography, products used, and transaction volumes. By grouping customers into similar peer segments, institutions can more accurately establish expected behavior and identify anomalies that may indicate suspicious activity.

Comparing customers across a single large population would mask meaningful deviations and generate excessive false positives or missed risks. Segmentation improves alert quality, efficiency, and investigative focus.

Customer segmentation is not limited to sanctions compliance; it is a core AML transaction monitoring practice used to detect money laundering, terrorist financing, and other financial crimes.

Trust and Company Service Providers (TCSPs) pose the greatest financial crime risks when they use trusts to obscure beneficial ownership, promote complex corporate structures that make tracing ownership difficult, and establish shell companies that can be used to hold and move illicit funds. These activities can facilitate money laundering, tax evasion, and other financial crimes by concealing the true origin and control of assets.

A risk-based approach prioritizes allocating more resources to higher-risk areas and regularly reassessing risks to ensure resource allocation remains aligned with evolving threats and vulnerabilities. This maximizes the effectiveness of the AFC program.

Real estate transactions are vulnerable to ML/TF risks, particularly when there is limited transparency or unusual payment methods:

Cross-border purchases (A):“Purchases by foreign buyers, especially from high-risk jurisdictions, are a red flag for money laundering in the real estate sector.”(CAMS 6th Edition, Real Estate Money Laundering Risks; FATF, Money Laundering and Terrorist Financing through the Real Estate Sector, 2007)

Non-financed purchases (D):“Non-financed (all-cash) purchases can indicate the introduction of illicit funds into the financial system, bypassing the controls of mortgage lenders.”(CAMS 6th Edition, Real Estate ML/TF Risks)

Incorrect Options:

B: Purchasing in the name of a natural person is standard and not inherently risky.

C: Paying the true market price does not raise ML/TF risk.

Reference data screening is a core element of AML/CFT programs and typically covers:

Customers (B):“All customers must be screened against sanctions, PEP, and adverse media lists as part of onboarding and ongoing due diligence.”(CAMS 6th Edition, Due Diligence and Screening)

Third-party service providers (C):“Screening should extend to relevant third parties, such as agents and service providers, to prevent indirect exposure to sanctioned entities.”(CAMS 6th Edition, Third-Party Screening; FATF Recommendations)

Incorrect Options:

A: Types of payment messages are not screened; the entities/individuals are.

D: Customer spouses may be screened in some KYC processes but are not a standard dataset for reference screening.

Casinos are recognized as high-risk entities under AML/CFT frameworks due to their exposure to large cash volumes and convertible instruments such as chips. Regulators and FATF guidance highlight minimal or no gaming activity combined with rapid cash-out as a major red flag.

In this scenario, the player purchases a large amount of chips using multiple funding methods, including an international wire transfer, does not engage in any gambling, and then immediately cashes out. This behavior is consistent with placement and layering techniques, where a casino is used as a pass-through to legitimize illicit funds.

The absence of gaming activity strongly suggests that the intent was not entertainment but financial manipulation. Casinos are frequently misused for this exact purpose due to their ability to convert cash into “winnings.”

The other scenarios describe activity that may be higher risk but are consistent with legitimate casino behavior when properly documented.

Perpetual KYC (pKYC) involves real-time monitoring of data triggers, such as static changes or behavioral anomalies, and prioritization based on client-specific data rather than fixed refresh schedules. This dynamic approach enhances risk management by responding more quickly to changes in client risk profiles.