Enhance your understanding of Power BI security best practices and compliance features with this focused quiz. Designed to help users identify key concepts for protecting data, managing user access, and understanding essential compliance measures in a data analytics environment.
Which method ensures that only authorized users can sign in and view sensitive analytics dashboards?
Explanation: Multi-factor authentication adds an extra security layer by requiring users to provide two or more verification factors, reducing the risk of unauthorized access. Open data sharing is risky as it gives unrestricted access. Random password generation helps with strong passwords but does not itself verify user identity. Anonymous access allows anyone to view content, which is not secure.
What feature allows administrators to give specific permissions to users based on their job responsibilities?
Explanation: Role-based access control assigns permissions based on roles, making sure users access only what they need for their duties. Guest links can expose data to unintended recipients. Daily session timeouts help with session security but do not assign permissions. One-time passwords are for temporary login security, not managing ongoing access.
Which approach protects data as it moves between data sources and report viewers to prevent interception?
Explanation: Encrypting data in transit ensures that data cannot be read if intercepted during transfer between users and systems. Data deduplication only reduces duplicate content and does not provide security. Manual data entry is unrelated to encryption. Public Wi-Fi sharing can increase risk, not reduce it.
Which compliance measure requires organizations to protect certain data types, such as personal or financial information, according to legal standards?
Explanation: Data protection regulations set legal requirements for handling sensitive data and ensure compliance with privacy laws. Data annotations are for report notes, not compliance. Data sorting concerns data order, not legal requirements. Visualization themes relate to report appearance, not data protection.
How does enabling row-level security benefit organizations with multiple users viewing the same report?
Explanation: Row-level security ensures users only view data pertinent to them, reducing unauthorized data access. Rearranging charts does not address data access. Disabling report sharing limits collaboration instead of controlling data visibility. Converting all data to text does not restrict access.
What is a recommended way to ensure that only select users can access a shared analytics report?
Explanation: Inviting users by email ensures only intended recipients can access the report. Publishing on a public website or sharing on social media risks broad, unauthorized access. Exporting to a personal device can be insecure if devices are lost or shared.
Why is it important to review logs and monitor user actions in a data analytics platform?
Explanation: Reviewing logs helps identify potential security issues and supports compliance by revealing unauthorized access. Trending sales data is unrelated to security monitoring. Increasing report size and upgrading software are not monitoring activities.
Which strategy helps prevent accidental exposure of confidential business information when exporting data?
Explanation: Restricting export permissions ensures that only designated users can export data, minimizing the risk of leaks. Automatically emailing or allowing unrestricted downloads increases exposure risk. Offline mode does not directly control data exports.
Why might organizations require analytics platforms to have industry-standard compliance certifications?
Explanation: Certifications show that the platform meets certain security and privacy standards, supporting trust and regulatory compliance. Improving color options and chart animations are unrelated. Limiting logins to weekdays is not relevant to compliance certifications.
What is a practical step to prevent the display of sensitive information in analytics reports viewed by the general audience?
Explanation: Data masking obscures sensitive information, ensuring that only authorized viewers can see actual data values. Increasing refresh rates, changing to a horizontal format, or renaming tabs do not protect sensitive data from being displayed.