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ACAMS CAMS7 Exam Syllabus Topics:
| Section |
Weight |
Objectives |
| Global AFC Frameworks, Governance and Regulations |
|
- AML Regulatory Framework (Elective options: Canada, EU, UK, USA)
|
| Tools and Technologies to Fight Financial Crime |
|
|
| Understanding Risks and Methods of Financial Crime |
30% |
- Financial Crime Risks related to trusts and company service providers - Financial Crime Risks related to insurance products - Financial Crime Risks related to gaming and gambling - Financial Crime Risks related to real estate - Financial Crime Risks related to MSBs, PSPs, and ecommerce platforms - Financial Crime Risks related to Politically Exposed Persons (PEPs) and high-risk customers - Financial Crime Risks related to gatekeepers - Financial Crime Risks related to VASPs, cryptoassets, and related products - Financial Crime Risks related to products within other financial sectors
|
| Building an AFC Compliance Program |
|
|
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최신 CAMS Certification CAMS7 무료샘플문제 (Q18-Q23):
질문 # 18
Which of the following is a benefit of an institution implementing machine learning to identify suspicious transactions?
- A. More consistent and reliable detection outcomes
- B. Adaptable to new AFC typologies through continuous model training
- C. Completely unbiased and without error through continuous model training
- D. Transparent and easy to explain algorithms for regulator and compliance purposes
정답:B
설명:
A key benefit of machine learning in identifying suspicious transactions is its adaptability to new anti- financial crime typologies through continuous model training, enabling the system to evolve with emerging threats and patterns.
질문 # 19
Which statement best describes an organizational challenge for law enforcement agencies and Financial Intelligence Units (FIUs) when conducting cross-border money laundering (ML) investigations?
- A. Defining a common communication approach and language between all involved parties.
- B. Conducting an investigation in all countries through which ML funds were transferred when one or more of the countries do not have an FIU.
- C. Delays in the investigation due to a foreign FIU awaiting the results of queries performed by third parties.
- D. Investigations which involve high-ranking politicians, who often have influence over the local FIU.
정답:B
설명:
One of the biggest organizational challenges for law enforcement agencies and Financial Intelligence Units (FIUs) in cross-border money laundering (ML) investigations is dealing with jurisdictions that do not have an FIU or lack proper AML enforcement structures. When funds are transferred through countries without effective AML frameworks, it becomes difficult to trace, freeze, or recover illicit assets.
Key challenges include:
Lack of mutual legal assistance agreements (MLAs), which slows down or prevents information-sharing.
Weak AML regulations in some countries, making it easier for criminals to exploit financial systems.
Jurisdictional conflicts, as different countries have different legal definitions and enforcement mechanisms for money laundering.
질문 # 20
An employee in a corporation's finance department hears news of an internal investigation into potential fraud within the company, quits her job, and disappears.
If they had been observed before her resignation, which characteristics of the employee would have been considered red flags? (Select Two.)
- A. The employee had friends in high-risk industries
- B. The employee had a lavish lifestyle for her income
- C. The employee was constantly evasive about the reasons for leaving her previous corporate finance job
- D. The employee was originally from a high-risk jurisdiction
정답:B,C
질문 # 21
Which ML/TF risks are associated with cryptoassets? (Select Three.)
- A. Smart contract vulnerabilities
- B. Potential for anonymity
- C. Use to layer illicit funds
- D. High transaction fees
- E. Devaluation
- F. Global reach
정답:B,C,F
설명:
Cryptoassets, such as cryptocurrencies, pose specific ML/TF risks due to their technological characteristics and usage patterns:
Potential for anonymity (C): Cryptoassets allow users to make transactions without revealing their true identities, which hinders law enforcement from tracking illicit activity. The CAMS 6th Edition states:"Cryptoassets can be transferred or exchanged between users without the need for identification, presenting a significant risk due to the potential for anonymity." Global reach (D): Cryptoassets operate on a global scale, enabling rapid cross-border transfers without the limitations of traditional financial systems. This increases the complexity of monitoring and controlling illicit transactions."The global nature of virtual assets makes it easy for criminals to move value across borders quickly, evading jurisdictional controls." Use to layer illicit funds (F): The ability to move cryptoassets between numerous wallets and exchanges allows criminals to obscure the source of funds through layering, a key stage of money laundering."Layering can be achieved by rapidly moving cryptoassets between wallets, exchanges, and across different jurisdictions, making tracing more difficult."
질문 # 22
A financial institution plans to implement adverse media screening with Artificial Intelligence (AI)/Machine Learning (ML) capabilities During testing, the system produces high volumes of irrelevant news articles for review. What is the best way to address this issue?
- A. Adjust AI/ML models to focus on high-risk keywords/phrases from reputable media sources
- B. Narrow the media sources to avoid unrelated articles
- C. Rely on manual filtering by investigators
- D. Increase the frequency of updates to media sources
정답:A
설명:
The most effective way to reduce irrelevant results in AI/ML-driven adverse media screening is to fine-tune the models to prioritize high-risk keywords and reliable sources. This improves precision by filtering out noise and directing focus toward content that is more likely to indicate financial crime risk.
질문 # 23
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