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ACAMS CAMS7 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Detecting and Preventing Financial Crime	20%	- Financial crime typologies 1. Fraud and corruption schemes 2. Trade-based money laundering - Investigations and enforcement 1. Regulatory investigations 2. Case management and documentation
Topic 2: Risk Management and Due Diligence	25%	- Customer Due Diligence (CDD/KYC) 1. Customer identification programs (CIP) 2. Enhanced due diligence (EDD) - Transaction monitoring and reporting 1. Monitoring systems and typologies 2. Suspicious Activity Reports (SAR/STR)
Topic 3: AML Compliance Framework	25%	- Roles and responsibilities 1. Governance and oversight 2. Compliance officer duties - Compliance program components 1. Policies and procedures 2. Internal controls
Topic 4: Money Laundering and Terrorist Financing Concepts	30%	- Definitions and stages of money laundering 1. Terrorist financing typologies 2. Placement, layering, integration - Global AML/CFT standards 1. International regulatory frameworks 2. FATF Recommendations

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ACAMS Certified Anti-Money Laundering Specialist (CAMS7 the 7th edition) Sample Questions (Q411-Q416):

NEW QUESTION # 411
A financial institution is conducting an enterprise-wide risk assessment (EWRA) and has identified a high inherent risk of money laundering associated with its private banking division due to the clientele's high net worth and complex financial structures. However, the institution has implemented robust customer due diligence (CDD) and enhanced due diligence (EDD) procedures, along with sophisticated transaction monitoring systems.
How would these controls impact the assessment of residual risk?

A. The residual risk would be eliminated entirely because the controls are sufficient to mitigate all potential risks
B. The residual risk would remain high due to the inherent nature of the private banking business
C. The residual risk would be significantly reduced due to the effectiveness of the controls in place
D. The residual risk would be moderately reduced, but further controls may be necessary to achieve an acceptable level

Answer: C

Explanation:
In anEnterprise-Wide Risk Assessment (EWRA),residual riskis the level of risk that remains after applying mitigating controls to theinherent risk(the risk present before controls are applied).
In this scenario, theinherent risk is highdue to the nature of private banking-high net worth clients,cross- border transactions,complex ownership structures, andhigh-value financial products. However, the institution has implementedrobust CDD and EDD, as well asadvanced transaction monitoring systems.
According to the CAMS Study Guide - 6th Edition, wheneffective and properly implemented controlsare in place, they cansignificantly reducethe residual risk-even in high-risk business areas like private banking.
However, no control framework caneliminate all riskentirely.
Option Ais correct: Controls can significantly reduce the residual risk when strong, effective systems and procedures are in place.
Option Bis partially true but suggests inadequacy, which is not indicated here.
Option Cincorrectly assumes residual risk cannot be lowered even with controls.
Option Dis incorrect because residual riskcannot be eliminated entirely.
Reference: ACAMS CAMS Study Guide - 6th Edition, Chapter:Enterprise-Wide Risk Assessment (EWRA)- Section:Inherent Risk vs. Residual Risk and the Role of Controls

NEW QUESTION # 412
Which control helps reduce the risk of employee involvement in money laundering?

A. Segregation of duties and employee screening
B. Allowing unrestricted override authority
C. Reducing compliance training frequency
D. Eliminating internal audits

Answer: A

Explanation:
Segregation of duties limits opportunities for employees to manipulate transactions or conceal suspicious activity. Employee background screening, oversight, and ethical standards further reduce internal collusion risks and strengthen the integrity of AML compliance programs.

NEW QUESTION # 413
Which techniques are most commonly used in a rules-based approach to transaction monitoring for detecting suspicious activities? (Choose two.)

A. Using predefined rules to flag specific transaction patterns
B. Statistical tuning of monitoring scenarios to improve accuracy
C. Using advanced machine learning models to detect outliers
D. Setting transaction thresholds for automated alerts
E. Randomly flagging transactions for further investigation

Answer: A,D

Explanation:
A rules-based approach to transaction monitoring relies on predefined rules that flag specific patterns and on setting thresholds that trigger automated alerts when exceeded. These techniques are fundamental to identifying potentially suspicious activities in a structured, deterministic way.

NEW QUESTION # 414
Artificial intelligence (AI) and machine learning (ML) procedures help in applying a risk-based approach in AML compliance through: (Select Three.)

A. Advanced customer risk assessments that synthesize client background information with additional data
B. Identification of links among apparently unrelated clients who have established complex networks for money laundering
C. Automatically generating Suspicious Activity Reports (SARs) without the need for human review
D. Automatically adapting risk thresholds for customers without any human intervention
E. Detection of complex money laundering patterns in transactions

Answer: A,B,E

Explanation:
Artificial intelligence and machine learning technologies support the risk-based approach (RBA) to AML compliance by enhancing an institution's ability to identify, assess, and prioritize financial crime risks. Regulatory guidance emphasizes that these technologies should augment--not replace--human judgment.
One key benefit is advanced customer risk assessment. AI and ML can synthesize large volumes of customer data, including background information, transaction behavior, and external risk indicators, allowing institutions to develop more accurate and dynamic risk profiles.
AI and ML also enable the identification of complex networks among seemingly unrelated clients.
Through network analytics and pattern recognition, these tools can uncover hidden relationships used in layering and structuring activities.
Additionally, AI-driven systems excel at detecting complex money laundering patterns within transaction data that may not trigger traditional rule-based alerts, improving effectiveness and efficiency.
Automatically generating SARs or adapting thresholds without human oversight is inconsistent with regulatory expectations. Human review and governance remain essential components of AML compliance.

NEW QUESTION # 415
An insurance company receives an application for a high-value life insurance policy from a new non- resident client. The payout instruction is linked to an offshore trust in another jurisdiction to which the client has no obvious connection. The client insists on paying premiums via multiple transactions to
"avoid bank charges." The client is reportedly unemployed with minimal assets, which is inconsistent with the policy value.
Which financial crime risk should the insurance company be most concerned with?

A. Sanctions evasion
B. Market abuse
C. Money laundering
D. Fraud

Answer: C

Explanation:
This scenario presents multiple classic money laundering red flags, particularly within the life insurance sector, which is recognized by FATF as vulnerable to misuse due to its investment and payout features.
The use of an offshore trust in a jurisdiction with no clear link to the customer raises concerns about concealment of beneficial ownership and layering. Criminals frequently use trusts and offshore structures to obscure the origin and destination of illicit funds.
The client's request to split premium payments into multiple transactions to avoid bank charges is indicative of structuring, a known money laundering technique used to evade monitoring and reporting thresholds.
Furthermore, the lack of a legitimate source of wealth or income consistent with the high-value policy is a significant red flag. Purchasing high-value insurance products with no apparent financial means is a common placement method for laundering illicit proceeds.
While fraud or sanctions evasion could be relevant in other contexts, the combination of structuring, unexplained wealth, offshore structures, and non-residency most strongly indicates money laundering risk.

NEW QUESTION # 416
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