Preview Questions Fraud Analyst | Role Specific Skill

Question 1: What role does cybersecurity play in fraud investigations within the BFSI sector?

Which action should you take?

Choose only one option

Blocking fraudulent transactions in real-time

Ensuring fraud detection systems are free from malware

Limiting customer access to their accounts

Preventing unauthorized access to sensitive data used in fraud schemes

Question 2: Which of the following is a key factor in identifying risk in digital payment fraud detection?

Which action should you take?

Choose only one option

Digital footprint analysis and IP geolocation

The total number of transactions per day

Frequency of payments over a specific amount

Customers' previous payment history

Question 3: Why is it critical to assess risks from different data sources when conducting fraud analysis?

Which action should you take?

Choose only one option

To ensure compliance with only one data source

To avoid redundancies in data analysis

To simplify the fraud detection process

To detect complex fraud schemes that span multiple channels and data types

Question 4: In an investigation involving multiple fraudulent accounts, which investigative technique is typically used to link the accounts?

Which action should you take?

Choose only one option

Direct interviews with suspected individuals

Reviewing customer transaction history

Data mining for hidden patterns

Random audits of account transactions

Question 5: What is the best practice to identify risks associated with money laundering activities?

Which action should you take?

Choose only one option

Perform transaction monitoring with defined thresholds

Focus only on high-value transactions

Analyze social media profiles of clients

Review customers' personal financial statements

Question 6: What is the role of feature engineering in building fraud detection models?

Which action should you take?

Choose only one option

Making the model easier to interpret

Simplifying the model by reducing the number of features

Enhancing the predictive power of the model by selecting relevant variables

Increasing the computational speed of the model