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SCENARIO Please use the following to answer the next question: Anna and Frank both work at Granchester University. Anna is a lawyer responsible for data protection, while Frank is a lecturer in the engineering department. The University maintains a number of types of records: Student records, including names, student numbers, home addresses, pre-university information, university attendance and performance records, details of special educational needs and financial information. Staff records, including autobiographical materials (such as curricula, professional contact files, student evaluations and other relevant teaching files). Alumni records, including birthplaces, years of birth, dates of matriculation and conferrals of degrees. These records are available to former students after registering through Granchester's Alumni portal. Department for Education records, showing how certain demographic groups (such as first-generation students) could be expected, on average, to progress. These records do not contain names or identification numbers. Under their security policy, the University encrypts all of its personal data records in transit and at rest. In order to improve his teaching, Frank wants to investigate how his engineering students perform in relational to Department for Education expectations. He has attended one of Anna's data protection training courses and knows that he should use no more personal data than necessary to accomplish his goal. He creates a program that will only export some student data: previous schools attended, grades originally obtained, grades currently obtained and first time university attended. He wants to keep the records at the individual student level. Mindful of Anna's training, Frank runs the student numbers through an algorithm to transform them into different reference numbers. He uses the same algorithm on each occasion so that he can update each record over time. One of Anna's tasks is to complete the record of processing activities, as required by the GDPR. After receiving her email reminder, as required by the GDPR. After receiving her email reminder, Frank informs Anna about his performance database. Ann explains to Frank that, as well as minimizing personal data, the University has to check that this new use of existing data is permissible. She also suspects that, under the GDPR, a risk analysis may have to be carried out before the data processing can take place. Anna arranges to discuss this further with Frank after she has done some additional research. Frank wants to be able to work on his analysis in his spare time, so he transfers it to his home laptop (which is not encrypted). Unfortunately, when Frank takes the laptop into the University he loses it on the train. Frank has to see Anna that day to discuss compatible processing. He knows that he needs to report security incidents, so he decides to tell Anna about his lost laptop at the same time. Anna will find that a risk analysis is NOT necessary in this situation as long as?





SCENARIO Please use the following to answer the next question: Jane starts her new role as a Data Protection Officer (DPO) at a Malta-based company that allows anyone to buy and sell cryptocurrencies via its online platform. The company stores and processes the personal data of its customers in a dedicated data center located in Malta (EU). People wishing to trade cryptocurrencies are required to open an online account on the platform. They then must successfully pass a Know Your Customer (KYC) due diligence procedure aimed at preventing money laundering and ensuring compliance with applicable financial regulations. The non-European customers are also required to waive all their GDPR rights by reading a disclaimer written in bold and ticking a checkbox on a separate page in order to get their account approved on the platform. All customers must likewise accept the terms of service of the platform. The terms of service also include a privacy policy section, saying, among other things, that if a customer fails the KYC process, its KYC data will be automatically shared with the national anti-money laundering agency. The KYC procedure requires customers to answer many questions, including whether they have any criminal convictions, whether they use recreational drugs or have problems with alcohol, and whether they have a terminal illness. While providing this data, customers see a conspicuous message saying that this data is meant only to prevent fraud and account takeover, and will be never shared with private third parties. The company regularly conducts external security testing of its online systems by independent cybersecurity companies from the EU. At the final stage of testing, the company provides cybersecurity assessors with access to its central database to review security permissions, roles and policies. Personal data in the database is encrypted; however, cybersecurity assessors usually have access to the decryption keys obtained while running initial security testing. The assessors must strictly follow the guidelines imposed by the company during the entire testing and auditing process. All customer data, including trading activities and all internal communications with technical support, are permanently stored in a secured AWS S3 Glacier cloud data storage, located in Ireland, for backup and compliance purposes. The data is securely transferred to the cloud and then is properly encrypted while at rest by using AWS-native encryption mechanisms. These mechanisms give AWS the necessary technical means to encrypt and decrypt the data when such is required by the company. There is no data processing agreement between AWS and the company. Should Jane modify the required GDPR rights waiver for non-European residents?

Question 96 - CIPP-E discussion

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Based on GDPR Article 35, which of the following situations would trigger the need to complete a DPIA?

A.

A company wants to combine location data with other data in order to offer more personalized service for the customer.

Answers
A.

A company wants to combine location data with other data in order to offer more personalized service for the customer.

B.

A company wants to use location data to infer information on a person's clothes purchasing habits.

Answers
B.

A company wants to use location data to infer information on a person's clothes purchasing habits.

C.

A company wants to build a dating app that creates candidate profiles based on location data and data from third-party sources.

Answers
C.

A company wants to build a dating app that creates candidate profiles based on location data and data from third-party sources.

D.

A company wants to use location data to track delivery trucks in order to make the routes more efficient.

Answers
D.

A company wants to use location data to track delivery trucks in order to make the routes more efficient.

Suggested answer: C

Explanation:

According to Article 35 of the GDPR, a Data Protection Impact Assessment (DPIA) is required when the processing of data is likely to result in a high risk to the rights and freedoms of natural persons, especially when using new technologies. A DPIA is supposed to show the characteristics of the processing, the risks and the measures adopted to mitigate them. The GDPR also provides some examples of processing operations that require a DPIA, such as:

a systematic and extensive evaluation of personal aspects based on automated processing, including profiling, and on which decisions are based that produce legal or significant effects on the data subject;

processing on a large scale of special categories of data or data relating to criminal convictions and offences; or a systematic monitoring of a publicly accessible area on a large scale.

Among the answer choices, only option C falls under the first example, as it involves a systematic and extensive evaluation of personal aspects based on location data and data from third-party sources, which could be used for profiling and matching purposes. This could have significant effects on the data subjects' privacy, personal relationships and reputation. Therefore, a DPIA would be required for this processing operation.

Option A does not necessarily involve a systematic and extensive evaluation of personal aspects, nor does it produce legal or significant effects on the data subject. It could be considered a legitimate interest of the company to offer more personalized service, as long as it respects the principles of data minimization, purpose limitation and transparency.

Option B does not involve a decision based on the processing, nor does it produce legal or significant effects on the data subject. It could be considered a form of direct marketing, which is subject to specific rules under the GDPR and the ePrivacy Directive.

Option D does not involve personal data relating to natural persons, but rather to delivery trucks. Therefore, it does not pose a high risk to the rights and freedoms of natural persons.

GDPR Article 35

Guidelines on DPIA

Art. 35 GDPR - Data protection impact assessment - GDPR.eu

asked 22/11/2024
GBEMISOLA OSILALU
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