DPDP Interview Questions and Answers
Ques 16. What are the challenges and considerations in achieving global data protection compliance for multinational companies?
Challenges include varying regulations across jurisdictions, cultural differences, and differing expectations regarding privacy. Multinational companies must consider the legal landscape in each country of operation and implement a comprehensive compliance strategy.
Example:
A company operating in both the EU and the U.S. must navigate GDPR and CCPA compliance requirements.
Ques 17. Explain the concept of 'Data Portability' and its benefits for individuals.
Data Portability allows individuals to obtain and reuse their personal data for their own purposes across different services. It promotes user control and facilitates the transfer of data between service providers.
Example:
A social media user downloading their account data and transferring it to another platform to maintain their social connections is an example of Data Portability.
Ques 18. What are the potential risks and benefits of using biometric data for authentication?
Biometric data offers enhanced security but raises concerns about privacy and the risk of unauthorized access. It is crucial to implement robust security measures and ensure transparent consent for collecting and processing biometric information.
Example:
Using fingerprint recognition to unlock a smartphone presents a benefit of convenient and secure authentication, but there is a risk if the data is mishandled.
Ques 19. Explain the term 'Data Subject Rights' and provide examples.
Data Subject Rights are the rights individuals have regarding their personal data. Examples include the right to access, rectify, erase, or object to the processing of their data. Organizations must facilitate the exercise of these rights by data subjects.
Example:
A customer exercising the right to access their personal data held by an online retailer to review and edit the information is an instance of Data Subject Rights.
Ques 20. How can organizations ensure transparency in their data processing practices?
Transparency involves providing clear and easily understandable information to individuals about how their data is processed. This includes privacy policies, data processing notices, and communication about any changes to data processing practices.
Example:
An online service informing users about the types of data collected, the purposes of processing, and how the data is used in a transparent manner adheres to transparency principles.
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