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Official specifications published by ACFE
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FA-CERT Exam Topics and Domains
FA-CERT is organized into 3 weighted domains.
Data Analysis Techniques for Fraud Examiners
Data Analytics Fundamentals
- Identify the benefits and challenges of using data analytics
- Explain why data analytics is used for fraud detection
The Data Analysis Process
- Categorize the four phases of the data analysis process
- Explain the key activities within each phase
Data Analysis Techniques for Specific Fraud Schemes
- Recognize common red flags for data that appears to be suspicious or fraudulent
- Distinguish various data analysis techniques that can be applied based on the type of fraud scheme(s) under investigation
- Apply basic analytical procedures to identify fraud indicators
- Understand Benford's Law and its application to fraud detection
Textual Analytics
Foundations of Textual Analytics
- Determine how textual analysis can be used in the prevention and detection of fraud
- Identify the various attributes of data used for textual analysis
- Recognize the benefits and challenges associated with using textual analytics
Textual Analysis Techniques and Applications
- Differentiate textual analysis techniques and how they can be used to assess fraud risk
- Apply text mining and sentiment analysis techniques to unstructured data
- Use keyword-based monitoring aligned with the fraud triangle
Uncovering Fraud with Advanced Financial and Ratio Analysis
Ratio Analysis and Fraud Detection Fundamentals
- Determine the fraud detection capabilities of traditional horizontal, vertical and ratio analyses
- Recognize the different financial analyses aimed at detecting specific types of fraud schemes
Financial Ratios for Fraud Detection
- Calculate and interpret financial ratios relevant to fraud detection
- Apply micro-level composition ratios and spending ratios
Advanced Multi-Factor Analysis
- Apply complex ratios and other multiple-factor analyses
- Plan targeted ratios that combine nonfinancial data with financial data
- Identify financial anomalies, including duplicate transactions and violations of Benford's Law
How do I earn this certification?
Passing FA-CERT earns the Fraud Analytics Certificate certification. It sits in the Anti-Fraud Analytics track.
- CFE - Certified Fraud Examiner ExamFull professional credential for fraud examiners; broader scope than any single certificate
- CAMS - Certified Anti-Money Laundering SpecialistComplementary credential from ACAMS focused on financial crime and AML analytics
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What's changed on this exam?
- ACTIVE
- Last content update: 2025-12-01
- Benford Subset Divergence Analysis (BSDA) AI-enhanced Benford's Law technique that extends traditional digit analysis; likely to appear in future course updates • Release date: 2024-11-01
- AI and Machine Learning in Fraud Detection Growing integration of AI tools with traditional analytics; ACFE increasingly covering AI applications in fraud detection resources
Who should take this exam?
This exam is typically taken by CFEs or professionals with extensive anti-fraud training seeking to market proficiency in fraud analytics and Anti-fraud professionals not yet ready for the CFE Exam.
- Fundamental knowledge of data analytics
- Fundamental knowledge of data analysis procedures (for Textual Analytics course)
- Solid understanding of the creation of and relationships between an organization's financial statements and records (for Advanced Financial and Ratio Analysis course)
Related practice tests
- AFC-CERTAnti-Fraud Controls Certificate Program
- AFFAnti-Fraud Fundamentals Certificate Program
- CFECertified Fraud Examiner
- cfe-investigationCertified Fraud Examiner - Investigation
- cfe-fraud-preventionCFE - Certified Fraud Examiner: Fraud Prevention and Deterrence Section