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ACAMS CAMS7 Exam Syllabus Topics:

SectionWeightObjectives
Understanding Risks and Methods of Financial Crime26%- Financial crime risks and consequences
  • 1. Institutional, individual, economic and social impacts
- Sanctions regimes and compliance risks
  • 1. UN, EU, OFAC frameworks
  • 2. Risk identification and mitigation
- Money laundering stages and techniques
  • 1. Methods across financial sectors and businesses
  • 2. Placement, layering, integration
- Terrorism financing and proliferation financing
  • 1. Distinctions from money laundering
  • 2. Sources and mechanisms
Global Anti-Financial Crime Frameworks, Governance and Regulations24%- Regional and national regulations
  • 1. USA PATRIOT Act and extraterritorial laws
  • 2. EU AML Directives
- International standards and bodies
  • 1. FATF 40 Recommendations
  • 2. Basel Committee, Wolfsberg Group, UN conventions
- Governance, accountability and ethics
  • 1. Ethical obligations and professional standards
  • 2. Roles of board, senior management and compliance function
Building and Managing Anti-Financial Crime Compliance Programs28%- Audit, testing and continuous improvement
- Customer due diligence and know-your-customer
  • 1. CDD, EDD, beneficial ownership identification
  • 2. politically exposed persons and high-risk clients
- Training, awareness and internal communication
- Monitoring, reporting and record keeping
  • 1. Transaction monitoring and alert management
  • 2. Suspicious activity reporting (SAR/STR)
  • 3. Legal record retention requirements
- Program framework and policies
  • 1. Risk assessment and risk-based approach
  • 2. Policies, procedures and controls design
Tools, Technologies and Investigations22%- Technology and systems
  • 1. Cryptoasset and virtual asset compliance
  • 2. Monitoring systems, screening tools, data analytics
- Investigation processes and evidence handling
  • 1. Case management and escalation
  • 2. Cooperation with authorities and information sharing
- Remediation and response
  • 1. Corrective actions and regulatory engagement

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ACAMS Certified Anti-Money Laundering Specialist (CAMS7 the 7th edition) Sample Questions (Q183-Q188):

NEW QUESTION # 183
The transaction monitoring system of a bank generated an alert for a car wash client. After making large cash deposits, the client orders international wire transfers. Which additional circumstances would make the case more suspicious?

Answer: C

Explanation:
The suspicion increases when the beneficiary is a foreign company whose shareholders and director are other companies, as this can indicate the use of layered corporate structures to obscure the ultimate beneficial owner and conceal illicit fund flows.


NEW QUESTION # 184
Which should be provided to the board of directors or designated specialized committee when preparing suspicious activity reports (SARs)?

Answer: A


NEW QUESTION # 185
The compliance officer at a casino in Taiwan discovers that the casino received multiple cash deposits from a customer just below the Large-Amount Transaction Report (LTR) limit on consecutive days. The customer used three different betting accounts. What is the appropriate next step?

Answer: A


NEW QUESTION # 186
Artificial intelligence (AI) and machine learning (ML) procedures help in applying a risk-based approach in AML compliance through: (Select Three.)

Answer: B,C,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 # 187
The Financial Intelligence Unit (FIU) in a country has received a suspicious activity report (SAR) which involves significant suspicious fund transfers, not only within its jurisdiction but also in a foreign country. Further information is required from the foreign country to determine whether the matter needs to be referred for prosecution locally. Which of the following statements is true in this scenario?

Answer: D

Explanation:
Countries that are members of the Egmont Group can securely exchange information between their Financial Intelligence Units (FIUs) to support money laundering and terrorist financing investigations, even when the activity involves multiple jurisdictions.


NEW QUESTION # 188
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