Quiz CIPT - Fantastic Training Certified Information Privacy Technologist (CIPT) Kit
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The CIPT Certification is ideal for individuals who work in IT, security, or data management roles and are responsible for implementing data protection measures in their organizations. Certified Information Privacy Technologist (CIPT) certification provides professionals with the knowledge and skills needed to address privacy risks and compliance issues in today's fast-paced and constantly evolving technological landscape.
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IAPP Certified Information Privacy Technologist (CIPT) Sample Questions (Q145-Q150):
NEW QUESTION # 145
What term describes two re-identifiable data sets that both come from the same unidentified individual?
- A. Pseudonymous data.
- B. Anonymous data.
- C. Aggregated data.
- D. Imprecise data.
Answer: A
Explanation:
Pseudonymous data refers to datasets where identifiers have been replaced with pseudonyms, allowing the data to still be linked to the same individual without directly revealing their identity. This means that while the data cannot directly identify an individual without additional information, it is still possible to re-identify the individual if the pseudonym is linked back to the individual.
Reference:
IAPP Certification Textbooks: "Pseudonymization" is explained as a privacy-enhancing technique where direct identifiers are replaced with pseudonyms, allowing data to be re-identified only under specific conditions.
NEW QUESTION # 146
SCENARIO
Wesley Energy has finally made its move, acquiring the venerable oil and gas exploration firm Lancelot from its long-time owner David Wilson. As a member of the transition team, you have come to realize that Wilson's quirky nature affected even Lancelot's data practices, which are maddeningly inconsistent. "The old man hired and fired IT people like he was changing his necktie," one of Wilson's seasoned lieutenants tells you, as you identify the traces of initiatives left half complete.
For instance, while some proprietary data and personal information on clients and employees is encrypted, other sensitive information, including health information from surveillance testing of employees for toxic exposures, remains unencrypted, particularly when included within longer records with less-sensitive data.
You also find that data is scattered across applications, servers and facilities in a manner that at first glance seems almost random.
Among your preliminary findings of the condition of data at Lancelot are the following:
* Cloud technology is supplied by vendors around the world, including firms that you have not heard of.
You are told by a former Lancelot employee that these vendors operate with divergent security requirements and protocols.
* The company's proprietary recovery process for shale oil is stored on servers among a variety of less- sensitive information that can be accessed not only by scientists, but by personnel of all types at most company locations.
* DES is the strongest encryption algorithm currently used for any file.
* Several company facilities lack physical security controls, beyond visitor check-in, which familiar vendors often bypass.
* Fixing all of this will take work, but first you need to grasp the scope of the mess and formulate a plan of action to address it.
Which procedure should be employed to identify the types and locations of data held by Wesley Energy?
- A. Data inventory.
- B. Log collection
- C. Privacy audit.
- D. Data classification.
Answer: A
Explanation:
A data inventory involves systematically cataloging all data assets within an organization, detailing the types of data, their locations, and how they are used. This procedure is essential for understanding the full scope of data handling and identifying any potential issues, such as those described in the scenario. By conducting a data inventory, Wesley Energy would be able to map out all data sources, assess their security, and plan for necessary improvements.
Reference: IAPP CIPT Certification Textbook, Chapter on Data Governance, explaining the importance and process of conducting a data inventory.
NEW QUESTION # 147
Why is first-party web tracking very difficult to prevent?
- A. The available tools to block tracking would break most sites' functionality.
- B. Consumers enjoy the many benefits they receive from targeted advertising.
- C. Regulatory frameworks are not concerned with web tracking.
- D. Most browsers do not support automatic blocking.
Answer: A
Explanation:
First-party web tracking is difficult to prevent because:
* The available tools to block tracking would break most sites' functionality (Option A): Many web applications rely on first-party cookies for essential functions like user authentication, session management, and personalization. Blocking these cookies can render websites unusable.
Option B is incorrect because consumer preference for targeted advertising does not impact the technical difficulty of blocking first-party tracking.
Option C is incorrect as regulatory frameworks are increasingly addressing web tracking.
Option D is incorrect because most browsers do offer mechanisms to block tracking, although they are more effective against third-party tracking.
References:
IAPP Information Privacy Technologist (CIPT) training materials
"Privacy Engineering: A Data Flow and Ontological Approach" by IAPP
NEW QUESTION # 148
What is the main reason the Do Not Track (DNT) header is not acknowledged by more companies?
- A. There is a lack of consensus about what the DNT header should mean.
- B. It has been difficult to solve the technological challenges surrounding DNT
- C. The financial penalties for violating DNT guidelines are too high.
- D. Most web browsers incorporate the DNT feature.
Answer: A
NEW QUESTION # 149
Which privacy engineering objective proposed by the US National Institute of Science and Technology (NIST) decreases privacy risk by ensuring that connections between individuals and their personal data are reduced?
- A. Minimization
- B. Disassoc lability
- C. Manageability
- D. Predictability
Answer: B
Explanation:
Disassociability is one of the privacy engineering objectives proposed by the US National Institute of Science and Technology (NIST) that aims to reduce privacy risk by ensuring that connections between individuals and their personal data are minimized. This objective helps to protect individual privacy by making it more difficult to link personal data back to specific individuals, thereby reducing the risk of re-identification and misuse of personal information. (Reference: NIST Privacy Framework, Appendix D: Privacy Engineering Objectives)
NEW QUESTION # 150
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