Free ACAMS CAMS Practice Exam with Questions & Answers | Set: 11

A robust transaction monitoring system is a core component of an effective Anti-Money Laundering (AML) and Counter-Financial Crime (AFC) program. Regulatory guidance from FATF and national supervisors emphasizes that the primary purpose of transaction monitoring systems is to detect unusual or suspicious activity by analyzing customer transactions and identifying anomalies or patterns that may indicate money laundering, terrorist financing, or other financial crimes.

These systems use predefined rules, thresholds, and increasingly advanced analytics to monitor transactions in real time or retrospectively. Alerts generated by the system are reviewed by compliance professionals, who determine whether further investigation or reporting is required.

While transaction monitoring systems may support the preparation of regulatory reports, such as SARs or CTRs, the actual filing of these reports typically requires human review and approval and is not the defining capability of the monitoring system itself. Features such as automatic document translation or integration of social media profiles are not considered core or necessary functions under AML regulatory expectations.

Therefore, the essential capability of a robust transaction monitoring system is its ability to monitor transactions and detect anomalies indicative of suspicious activity.

Adverse media screening is an important component of customer due diligence, but reliance on general search engines presents several limitations recognized by AML practitioners and regulators.

Search engines typically provide unstructured data, which makes it difficult to systematically analyze and document results for compliance purposes. Information may be incomplete, duplicated, or lack context.

The process is also time-consuming and highly manual, particularly for institutions screening large customer populations. Manual reviews increase operational burden and introduce inconsistency and human error.

Additionally, search engine algorithms vary, meaning results can differ depending on timing, location, and personalization, leading to inconsistent outcomes that are difficult to audit or reproduce.

While language coverage and relevance may be challenges, the most critical limitations relate to lack of structure, inefficiency, and inconsistent results.

A key advantage of privacy enhancing technologies (PETs) in anti-money laundering is their ability to securely process data while it remains encrypted. This enables data analysis and collaboration without exposing sensitive information, helping to maintain privacy while still supporting financial crime detection.

Public-private partnerships help develop a culture of compliance across sectors and improve the quality and quantity of data through information sharing, enhancing the collective ability to detect and prevent financial crime.

The United Nations Security Council (UNSC) has evolved its sanctions framework to minimize unintended humanitarian consequences. In line with international best practice, the UNSC increasingly relies on targeted sanctions, also known as “smart sanctions,” rather than broad-based measures.

Targeted sanctions are designed to focus specifically on individuals, entities, or activities responsible for threats to international peace and security. These measures may include asset freezes, travel bans, and arms embargoes directed at specific actors. By narrowing the scope, targeted sanctions aim to reduce the negative impact on innocent civilian populations and legitimate economic activity.

In contrast, comprehensive sanctions apply to entire countries or sectors and often result in significant humanitarian and economic harm. The term “comprehensive targeted sanctions” is not a recognized sanctions category.

Therefore, targeted sanctions are the preferred UNSC tool when the objective is to minimize adverse effects on civilians while maintaining pressure on responsible parties.

Higher-risk customer profilesoften include businesses that:

Regularly handle large volumes of cash

Operate in sectors withhistorical vulnerabilities to money laundering

Are involved invirtual assets or unregulated financial activities

Option C – A local used car sale lot that allows cash payments:

This business type is consideredcash-intensive, and accepting monthly payments in cash raises concerns about the source of funds, potential structuring, or placement of illicit proceeds.

Option D – A Virtual Asset Service Provider (VASP):

VASPs involved inpeer-to-peer crypto transactionspresent elevated AML risks due to theanonymity, speed, and borderless natureof virtual assets. These institutions are often subject toenhanced due diligence requirements.

Option Ais incorrect: A large multinational with documented transactions and transparency typically poseslower inherent risk, though still subject to review.

Option Bmay be reviewed, buton-site ATM replenishment using store cashis not automatically a red flag without other risk indicators.