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Complete IAPP CIPP-E Exam Dumps & Practice CIPP-E Exam Fee

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The complete form of the CIPP-E is the Certified Information Privacy Professional/Europe. The exam, in particular, is designed for data protection officers who are responsible for keeping tabs on compliance, being in charge of internal data security, training staff for data processing, and auditing. However, such a test is more specific on trans-border data protection officials.

IAPP CIPP-E exam is a highly respected certification program that tests an individual's knowledge of data protection and privacy laws and regulations in the EU. Certified Information Privacy Professional/Europe (CIPP/E) certification is designed for individuals who work in the field of data protection and privacy and provides them with a competitive edge in the job market. It is a challenging and rigorous exam that requires extensive preparation and study, but it is well worth the effort for those who wish to demonstrate their expertise in the field of data protection and privacy.

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ActualPDF has designed a customizable Web-based IAPP CIPP-E practice test software. You can set the time and type of Certified Information Privacy Professional/Europe (CIPP/E) CIPP-E test questions before starting to take the Certified Information Privacy Professional/Europe (CIPP/E) CIPP-E Practice Exam. It works with all operating systems like Linux, Windows, Android, Mac, and IOS, etc.

IAPP Certified Information Privacy Professional/Europe (CIPP/E) Sample Questions (Q208-Q213):

NEW QUESTION # 208
Start-up company MagicAI is developing an AI system that will be part of a medical device that detects skin cancer. To take measures against potential bias in its AI system, the IT Team decides to collect data about users' ethnic origin, nationality, and gender.
Which would be the most appropriate legal basis for this processing under the GDPR, Article 9 (Processing of special categories of personal data)?

A. Processing necessary for scientific or statistical purposes.
B. Processing necessary for reasons of substantial public interest.
C. Processing necessary for the defense of legal claims in potential negligence cases.
D. Processing necessary for purposes of preventive or occupational medicine.

Answer: A

Explanation:
Article 9 of the GDPR outlines strict conditions for processing special categories of personal data, which includes data revealing racial or ethnic origin. While options B, C, and D might seem relevant, they don't fully align with the core purpose of MagicAI's data collection.
Here's why option A is the most appropriate:
Scientific Research: MagicAI aims to improve the accuracy and fairness of its AI system by understanding how it performs across different ethnicities, nationalities, and genders. This directly ties into scientific research aimed at improving healthcare and reducing bias in medical technology.
It's important to note that even with "scientific research" as the legal basis, MagicAI must still adhere to strict safeguards, such as:
Data Minimization: Collecting only the data absolutely necessary for the research.
Purpose Limitation: Using the data solely for the defined scientific purpose.
Appropriate Security Measures: Protecting the data against unauthorized access or disclosure.
Ethical Review: Ideally, obtaining ethical approval for the research project.
References:
GDPR Article 9 - Processing of special categories of personal data
GDPR Recital 159 - Conditions for processing special categories of data for scientific research purposes IAPP CIPP/E textbook, Chapter 2: Key Data Protection Principles (specifically, sections on special categories of data)

NEW QUESTION # 209
When does the GDPR provide more latitude for a company to process data beyond its original collection purpose?

A. When the data is protected by technological safeguards.
B. When the data has been pseudonymized.
C. When the data subject has failed to use a provided opt-out mechanism.
D. When the data serves legitimate interest of third parties.

Answer: D

Explanation:
The GDPR provides more latitude for a company to process data beyond its original collection purpose when the data has been pseudonymized, which means that the data can no longer be attributed to a specific data subject without the use of additional information. Pseudonymization is a technique that reduces the linkability of personal data with the data subject, and enhances the security and privacy of the data processing.
According to the GDPR, pseudonymization is one of the measures that can help the company to implement the principles of data protection by design and by default, and to demonstrate compliance with the GDPR obligations. Moreover, the GDPR states that the further processing of pseudonymized data for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes is not considered to be incompatible with the initial purposes, provided that appropriate safeguards are in place to protect the rights and freedoms of the data subjects. Therefore, pseudonymization can enable the company to use the data for other purposes that are beneficial for society or for innovation, without compromising the privacy of the individuals. References:
* GDPR, Article 4 (5), Article 5 (1) (b), Article 6 (4) (e), Article 25, Article 32 (1) (a), Article 40 (2) (d), Article 89
* Free CIPP/E Study Guide, page 17, section 2.4.1
* CIPP/E Certification, page 12, section 1.1.3
* Cipp-e Study guides, Class notes & Summaries, document "CIPP/E Exam Summary 2023", page 45, section 2.4.1
* [Pseudonymisation techniques and best practices]

NEW QUESTION # 210
Which of the following would require designating a data protection officer?

A. Processing is carried out by an organization employing 250 persons or more.
B. Processing is carried out for the purpose of providing for-profit goods or services to individuals in the EU.
C. The core activities of the controller or processor consist of processing operations that require systematic monitoring of data subjects on a large scale.
D. The core activities of the controller or processor consist of processing operations of financial information or information relating to children.

Answer: C

Explanation:
According to Article 37 of the GDPR, the designation of a data protection officer (DPO) is mandatory for controllers and processors in three cases1:
When the processing is carried out by a public authority or body, except for courts acting in their judicial capacity; When the core activities of the controller or the processor consist of processing operations which, by virtue of their nature, their scope and/or their purposes, require regular and systematic monitoring of data subjects on a large scale; or When the core activities of the controller or the processor consist of processing on a large scale of special categories of data pursuant to Article 9 and personal data relating to criminal convictions and offences referred to in Article 10.
The GDPR does not define what constitutes "regular and systematic monitoring" or "large scale", but the Article 29 Working Party (now replaced by the European Data Protection Board) has provided some guidance on these concepts2. According to the guidance, "regular and systematic monitoring" includes all forms of tracking and profiling on the internet, including for the purposes of behavioural advertising, but also offline activities such as CCTV or health data monitoring. The guidance also suggests some criteria to assess whether the processing is carried out on a large scale, such as the number of data subjects concerned, the volume of data or the range of data items processed, the duration or permanence of the processing activity, and the geographical extent of the processing.
In the given scenario, option D is the only one that clearly falls under the second case of mandatory DPO designation, as it implies that the controller or processor is engaged in regular and systematic monitoring of data subjects on a large scale as part of their core activities. This could include, for example, online behavioural advertising, location tracking, loyalty programs, or health data analytics. The other options are not sufficient to trigger the obligation to appoint a DPO, unless they are combined with other factors that indicate a large scale or a high risk of the processing. For instance, option A is not relevant, as the GDPR does not set a threshold based on the size or number of employees of the organisation. Option B is also not decisive, as the GDPR does not distinguish between for-profit or non-profit purposes of the processing. Option C may require a DPO if the processing of financial information or information relating to children is done on a large scale and involves special categories of data, but it is not a general rule. Reference:
1: Article 37 of the GDPR
2: Guidelines on Data Protection Officers ('DPOs')
3: Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation)
4: https://edpb.europa.eu/sites/edpb/files/files/file1/wp243rev01_en.pdf
5: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32016R0679
6: [https://edpb.europa.eu/sites/edpb/files/files/file1/wp243rev01_en.pdf]
7: [https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32016R0679]

NEW QUESTION # 211
Select the answer below that accurately completes the following:
"The right to compensation and liability under the GDPR...

A. ...provides for an exemption from liability if the data controller (or data processor) proves that it is not in any way responsible for the event giving rise to the damage."
B. ...is limited to a maximum amount of EUR 20 million per event of damage or loss."
C. ...precludes any subsequent recourse proceedings against other controllers or processors involved in the same processing."
D. ...can only be exercised against the data controller, even if a data processor was involved in the same processing."

Answer: C

Explanation:
Reference https://gdpr-info.eu/art-82-gdpr/

NEW QUESTION # 212
When is data sharing agreement MOST likely to be needed?

A. When personal data is being shared between commercial organizations acting as joint data controllers.
B. When personal data is being shared with a public authority with powers to require the personal data to be disclosed.
C. When anonymized data is being shared.
D. When personal data is being proactively shared by a controller to support a police investigation.

Answer: A

NEW QUESTION # 213
......

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