Cybersecurity and Information security are the only fields that have not faced recession. On the contrary, there is a tremendous rise in career opportunities in various Data security professions like Data Privacy engineers, Data Analysts, Data Scientists, and many more. This blog is curated with top interview questions for Data Privacy Engineer, which would help an aspirant who is willing to get placed in a similar profession.
1. What is Privacy Engineering?
Privacy engineering is a practice of developing tools and processes that apply privacy protections to personal data. This emerging field encompasses various activities aimed at incorporating privacy into systems. For instance, privacy engineers inspect code before deployment to evaluate privacy risk. It offers the Privacy by Design (PbD) framework into action by incorporating methods, metrics, and tools to develop privacy-protecting systems.
2. What is data privacy?
Data privacy is the protection of personal data from unauthorized access. It is concerned with proper data handling while focusing on compliance with data protection regulations.
3. What are the elements of Data Privacy?
Data Privacy consists of three elements:
4. What is Data Engineering?
Data engineering is the method of designing and developing systems to collect, store and analyze data. It is a field with applications that allow organizations to collect massive amounts of data. Still, it requires the right technology to ensure the data is usable before reaching data scientists and analysts.
5. What is Data Protection?
Data protection is the process of protecting confidential data from loss, compromise, or corruption and providing the ability to restore the data to a functional state. The methods and technologies used to protect and secure data are referred to as data protection mechanisms.
7. Explain Privacy by Design.
Privacy by Design (PbD) is a framework used to protect the privacy of an individual’s data by considering all the related privacy issues. It proactively employs privacy in designing and operating IT infrastructure, networks, and business practices.
8. What are the principles of Privacy by Design?
The seven principles of Privacy by Design are as follows:
9. What are Privacy-enhancing technologies (PET)?
Privacy-enhancing technologies (PET) are used as a set of basic data protection principles, which are integrated into all the systems, applications, tools, and services. It helps to protect the privacy of online users’ Personally Identifiable Information (PII).
10. How will you differentiate between Data Security and Data Privacy?
Data Security refers to the tools and techniques used to safeguard your data from being compromised whereas data privacy is all about the user’s ability to control, access, and govern their personal information.
11. What is Endpoint security?
Endpoint security is the process of preventing endpoints of user devices, such as PCs, laptops, and mobile devices, from cyber threats. It protects the endpoint system, network, and devices from cyberattacks.
12. List some of the mandatory documents required by GDPR.
13. What are the common types of cyberattacks?
The common types of cyberattacks that could adversely affect your system are:
14. List out the well-known cybersecurity frameworks.
15. List some of the Data Privacy laws in the world.
16. What are the GDPR rights of data subjects?
The following are the GDPR rights of data subjects:
17. Define GDPR and mention the principles of GDPR.
General Data Protection Regulation (GDPR) is a law that allows users to control personal data use in organizations. The core principles of GDPR are as follows:
18. What is Data Protection Impact Assessment?
DPIA stands for Data Protection Impact Assessment, which is a method that assists you in identifying and mitigating data protection risks. It ensures that you accurately measure and manage the risk to your customers and your organization with global data protection regulations. It is also referred to as Privacy Impact Assessment (PIA)
19. What are the steps to perform DPIA?
The basic steps to perform DPIA are:
20. Explain the difference between IDS and IPS.
IDS stands for Intrusion Detection System; it only detects intrusions, and the administrator is responsible for preventing the intrusion. Whereas the IPS stands for Intrusion Prevention System, it identifies and prevents intrusion.
The Data Privacy Engineer profession has considerable importance in cybersecurity with attractive salaries. The average salary for a Data Privacy Engineer is around $124,112 per annum. InfosecTrain offers an instructor-led training and certification course on Certified Data Privacy Solutions Engineer (CDPSE), which would help you prepare and crack the certification exam. If you want to become a certified Data Privacy Engineer, enroll now.