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ACAMS CAMS7 Exam Syllabus Topics:

Section	Weight	Objectives
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. Suspicious Activity Reports (SAR/STR) 2. Monitoring systems and typologies
AML Compliance Framework	25%	- Compliance program components 1. Policies and procedures 2. Internal controls - Roles and responsibilities 1. Compliance officer duties 2. Governance and oversight
Money Laundering and Terrorist Financing Concepts	30%	- Definitions and stages of money laundering 1. Placement, layering, integration 2. Terrorist financing typologies - Global AML/CFT standards 1. International regulatory frameworks 2. FATF Recommendations
Detecting and Preventing Financial Crime	20%	- Investigations and enforcement 1. Regulatory investigations 2. Case management and documentation - Financial crime typologies 1. Fraud and corruption schemes 2. Trade-based money laundering

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ACAMS Certified Anti-Money Laundering Specialist (CAMS7 the 7th edition) Sample Questions (Q253-Q258):

NEW QUESTION # 253
What are the main benefits of implementing explainable artificial intelligence (AI) or machine learning (ML) technologies to improve operational effectiveness within AML/CFT compliance? (Select Two.)

A. Identifies AML/CFT risks without the need for human involvement
B. Reduces the need for human resources
C. Increases auditability, accountability, and overall good governance
D. Processes and analyzes large data sets more quickly and accurately

Answer: C,D

Explanation:
Explainable artificial intelligence (AI) and machine learning (ML) technologies are increasingly adopted within AML/CFT compliance to enhance effectiveness while maintaining regulatory transparency. Regulators emphasize that explainability and human oversight are essential when using advanced analytics.
One key benefit is the ability to process and analyze large volumes of data quickly and accurately. AML programs must review massive transaction datasets, customer profiles, and behavioral patterns. AI and ML models improve detection capabilities by identifying complex patterns and anomalies that may not be evident through traditional rule-based systems.
Another critical benefit of explainable AI is improved auditability, accountability, and governance.
Explainable models allow compliance teams, auditors, and regulators to understand how decisions are made, why alerts are generated, and how risks are assessed. This transparency supports regulatory compliance and model governance requirements.
AI systems are not intended to replace human involvement or eliminate compliance staff. Human judgment remains essential for investigations, decision-making, and regulatory reporting.

NEW QUESTION # 254
Fuzzy logic or fuzzy matching in the context of name screening is a method that:

A. Uses machine learning to predict names based on historical data
B. Matches names on screening lists to names with similar spellings, patterns, or sounds
C. Matches names with the same length and characters
D. Relies exclusively on exact string matches

Answer: B

Explanation:
Fuzzy matching is a critical technique used in name screening systems to identify potential matches where names are not spelled identically. Regulators recognize that sanctions, PEP, and watchlist screening must account for variations in spelling, transliteration, abbreviations, and phonetic differences.
Fuzzy matching algorithms compare names based on similar spelling patterns, phonetics, or character arrangements, allowing institutions to detect matches that exact matching would miss.
This is especially important for names originating from different languages or alphabets.
Exact matching alone is insufficient for effective sanctions screening, as it would fail to capture common variations. While machine learning may enhance screening systems, fuzzy matching itself does not rely on predictive modeling.
Therefore, fuzzy matching improves detection effectiveness while supporting regulatory expectations for robust screening controls.

NEW QUESTION # 255
An oil exploration company based in France does business with oil refineries in Iran, which is subject to comprehensive Office of Foreign Assets Control (OFAC) sanctions.
What type of OFAC sanctions should be imposed against the French company?

A. Country-based
B. List-based
C. Secondary
D. Sectoral

Answer: C

NEW QUESTION # 256
An AML/CFT unit often compiles information about customer activity and product usage that might be of interest to other parts of the organization.
Before allowing the unit to communicate such information internally, the organization must review:

A. Applicable data privacy laws in relevant jurisdictions and the organization's data security and privacy policies for any limitations
B. Enterprise-wide risk assessments and the employee handbook for any limitations on sharing commercially sensitive customer data
C. The risk rating of the customers to avoid sharing data relating to higher risk customers
D. The organization's AML compliance policies to ensure that customer data can be easily shared internally and internationally

Answer: A

NEW QUESTION # 257
Which of the following are benefits of the latest KYC solutions, including but not limited to digital onboarding, eKYC, digital identity, facial recognition, liveness checks, biometrics, and geolocation? (Choose three.)

A. Improving customer satisfaction by offering personalized recommendations
B. Guaranteeing 100% accuracy in regulatory compliance across all jurisdictions
C. Reducing identity theft effectively
D. Providing reliable customer authentication to enhance trust
E. Decreasing the time required for customer authentication

Answer: C,D,E

Explanation:
Modern KYC solutions help reduce identity theft, provide reliable customer authentication to build trust, and shorten authentication times, enhancing both security and efficiency in customer onboarding and ongoing due diligence processes.

NEW QUESTION # 258
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