RPA RPA Security and Governance 3

Question 1

What is 'RPA risk assessment' typically used to evaluate?

Accepted Answer

Identifying potential failure points, security vulnerabilities, and compliance risks before deploying a bot

Answer

RPA risk assessment identifies what could go wrong — data breaches, process failures, compliance violations — allowing mitigation strategies to be built into the design.

Question 2

What does 'data masking' in RPA mean?

Accepted Answer

Replacing sensitive data with realistic but fictitious values in non-production environments

Answer

Data masking replaces real sensitive data (e.g., SSNs, credit card numbers) with realistic dummy values so bots can be tested safely in non-production environments.

Question 3

Why is 'multi-factor authentication (MFA)' challenging to implement with RPA bots?

Accepted Answer

Bots cannot receive SMS or push notifications required by many MFA methods

Answer

Traditional MFA methods like SMS codes or authenticator app pushes require human interaction, making them incompatible with fully automated unattended bot processes.

Question 4

What is 'bot retirement' in an RPA governance lifecycle?

Accepted Answer

The formal process of decommissioning bots that are no longer needed or have been replaced

Answer

Bot retirement involves formally decommissioning a bot — revoking its credentials, removing it from the Orchestrator, and documenting its removal for governance purposes.

Question 5

What is the role of 'third-party risk management' in enterprise RPA governance?

Accepted Answer

Assessing and managing the security and compliance risks introduced by RPA vendor platforms and integrations

Answer

Third-party risk management evaluates the security posture, data handling practices, and contractual obligations of RPA vendors and integrated third-party services.

RPA - Robotic Process Automation Practice Test

RPA - Robotic Process Automation Practice Test

RPA RPA Security and Governance 3