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ACAMS CAMS7 Exam Syllabus Topics:

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

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ACAMS Certified Anti-Money Laundering Specialist (CAMS7 the 7th edition) Sample Questions (Q445-Q450):

NEW QUESTION # 445
The relationship manager in the corporate banking department at a bank is required to take specialized AML training tailored to the risks the department is most likely to encounter. Which types of content are most appropriate for this training? (Select Two.)

Answer: C,D

Explanation:
Specialized AML training must be relevant to the specific risks the corporate banking team faces, including legal/regulatory expectations and the ML/TF typologies applicable to their products and customer base.
Applicable AML laws and regulations (B):"Staff must be aware of the applicable AML/CFT laws and regulatory requirements relevant to their business area." Money laundering typologies applicable to corporate loans (D):"Training should include typologies and red flags that are most relevant to the risks present in the specific business line, such as corporate lending."


NEW QUESTION # 446
Artificial intelligence (AI) and machine learning (ML) procedures help in applying a risk-based approach in AML compliance through: (Select Three.)

Answer: A,C,D

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 # 447
What key element contributes to the effectiveness of AML training programs'?

Answer: B

Explanation:
The effectiveness of AML training programs depends on comprehensive content that covers relevant regulatory, risk, and procedural topics, combined with engaging delivery methods that promote retention and practical application by participants.


NEW QUESTION # 448
A trust and company services provider that offers a variety of services to businesses is approached by a client interested in establishing a new company. The client requests assistance with the incorporation process, a local business address, annual maintenance services, and the designation of individuals to serve in official capacities for the new company.
Which of the following services involves a higher money laundering risk?

Answer: A

Explanation:
Appointing individuals to serve in official capacities poses a higher money laundering risk because it can be used to obscure the true beneficial ownership and control of the company, making it easier to conceal illicit activities or the identity of those directing the business.


NEW QUESTION # 449
Which statement best describes a key money laundering risk associated with virtual asset service providers (VASPs), cryptoassets, and related products?

Answer: B

Explanation:
The pseudonymous nature of cryptoasset transactions enables criminals to transfer large sums globally while concealing their identities. This lack of transparency poses a significant money laundering risk, as it hinders efforts to trace the ultimate beneficial owner.


NEW QUESTION # 450
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