CAMS Practice Questions

The Financial Action Task Force (FATF) develops and promotes international standards to combat money laundering and terrorist financing, and it evaluates and monitors countries’ compliance with these standards while providing recommendations for improvement.

Explainable artificial intelligence (AI) and machine learning (ML) technologies are increasingly adopted within AML/CFT compliance to enhance effectiveness while maintaining regulatory transparency. Regulators emphasize that explainability and human oversight are essential when using advanced analytics.

One key benefit is the ability to process and analyze large volumes of data quickly and accurately. AML programs must review massive transaction datasets, customer profiles, and behavioral patterns. AI and ML models improve detection capabilities by identifying complex patterns and anomalies that may not be evident through traditional rule-based systems.

Another critical benefit of explainable AI is improved auditability, accountability, and governance. Explainable models allow compliance teams, auditors, and regulators to understand how decisions are made, why alerts are generated, and how risks are assessed. This transparency supports regulatory compliance and model governance requirements.

AI systems are not intended to replace human involvement or eliminate compliance staff. Human judgment remains essential for investigations, decision-making, and regulatory reporting.

Effective sanctions screening depends heavily on strong list management governance, as emphasized in sanctions compliance guidance from regulators such as OFAC and FAT

F.  

First, restricting list modification to authorized individuals is critical. This ensures proper governance, auditability, and control over updates, reducing the risk of errors, unauthorized changes, or manipulation of screening outcomes.

Second, sanctions and watchlists may be sourced internally or from reputable third-party vendors. Many financial institutions supplement regulatory lists with internal watchlists, law enforcement requests, or commercially curated databases to enhance detection capabilities. This flexibility supports a risk-based approach.

Using only regulatory lists may be insufficient for identifying broader sanctions evasion risks, while applying all lists in all jurisdictions may lead to legal conflicts and over-screening. Institutions must tailor list usage based on jurisdictional applicability and legal requirements.

Together, controlled access and flexible list sourcing form the foundation of effective sanctions list management.

Customer onboarding is a critical AML/CFT process that must balance regulatory compliance with customer experience. Excessive friction can lead to customer dissatisfaction and abandonment.

Implementing internal or external tools—such as digital onboarding platforms, document collection tools, and workflow automation—can significantly streamline information gathering and reduce delays while maintaining compliance standards.

Additionally, consistent training of all employees involved in onboarding ensures that information requests are clear, consistent, and proportionate. Well-trained staff reduce rework, confusion, and unnecessary follow-ups, improving customer trust and efficiency.

Restricting decision-making to managers can slow processes, and delaying updates to processes reduces adaptability to evolving risks and regulatory expectations.

FATF standards identify several designated non-financial businesses and professions (DNFBPs) as obliged entities due to their exposure to money laundering risks. These gatekeepers are required to perform customer due diligence (CDD).

Notaries involved in real estate transactions play a critical role in property transfers and are required to identify parties and beneficial owners. Dealers in precious metals and stones handle high-value, portable assets attractive to criminals. Real estate agents facilitate property purchases often used to launder large sums of money. Accountants and auditors may assist in financial structuring, tax planning, or company formation and must conduct CDD when providing covered services.

Casino security guards and judges are not obliged entities under AML/CFT frameworks.