Isaca CDPSE Exam - Topic 2 Question 56 Discussion

Actual exam question for Isaca's CDPSE exam

Question #: 56
Topic #: 2

[All CDPSE Questions]

Which of the following processes BEST enables an organization to maintain the quality of personal data?

AImplementing routine automatic validation

BMaintaining hashes to detect changes in data

CEncrypting personal data at rest

DUpdating the data quality standard through periodic review

Show Suggested Answer

Suggested Answer: D

Privacy by design is an approach that embeds privacy principles and considerations into the design and development of products, services, systems, and processes that involve personal dat

a. Privacy by design aims to protect the privacy and security of the data subjects, as well as to comply with the applicable privacy laws and regulations. One of the key principles of privacy by design is to obtain the consent and choice of the data subjects regarding the collection, use, and disclosure of their personal data. Therefore, the best example of privacy by design in the development of a consumer mobile application is to require consent before sharing locations, as this gives the data subjects control and transparency over their personal data. The other options are not as effective or sufficient as requiring consent before sharing locations, as they do not address the principle of consent and choice, or they may violate other privacy principles or requirements.

by Adaline at Oct 20, 2024, 02:53 PM

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Ira

6 months ago

Totally agree with D, it makes sense to review standards regularly!

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Ressie

6 months ago

Wait, can periodic reviews really keep data quality up?

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Emelda

6 months ago

C is crucial for security, but not really for quality.

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Kristian

7 months ago

A is definitely important too, though!

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Queenie

7 months ago

I think D is the best choice for maintaining quality.

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Shawnna

7 months ago

Updating data quality standards through periodic review sounds reasonable, but I wonder if it’s proactive enough compared to the other options.

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Bernardo

7 months ago

Encrypting data seems more about security than quality, but I guess it could indirectly help maintain quality by protecting it from tampering.

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Shad

7 months ago

I remember a practice question about data integrity, and I think maintaining hashes could be important for detecting unauthorized changes.

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Willodean

8 months ago

I think routine automatic validation might be the best choice since it helps catch errors right away, but I'm not entirely sure.

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Vivienne

8 months ago

I'm confident that encrypting personal data at rest is the right answer here. Protecting the confidentiality and integrity of the data is crucial for maintaining its quality, and encryption is a key security control for achieving that.

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Lauran

8 months ago

Okay, I think I've got this. Implementing routine automatic validation seems like the best way to maintain data quality on an ongoing basis. The other options are more reactive or periodic, while this one focuses on proactive quality control.

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Theodora

8 months ago

Hmm, I'm a bit unsure about this one. I'll need to think through the differences between the options and how they relate to maintaining data quality. Encrypting data and updating standards seem relevant, but I'm not sure which one is the best approach.

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Roselle

8 months ago

This seems like a straightforward question about data quality processes. I'll need to carefully consider each option and think about which one best enables an organization to maintain the quality of personal data.

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Carlota

1 year ago

A) Automatic validation is the way to go. It's like having a personal assistant that never takes a day off - always keeping an eye on your data.

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Arlen

11 months ago

C) Encrypting data at rest adds an extra layer of security.

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Aileen

11 months ago

A) But automatic validation is more efficient.

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Robt

11 months ago

B) I think maintaining hashes is more secure.

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Shalon

11 months ago

A) Automatic validation is definitely the way to go.

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Desirae

1 year ago

B) Maintaining hashes to detect changes in data? That's like having a secret decoder ring for your information. Sounds like a job for a data superhero!

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Polly

1 year ago

D) Updating the data quality standard through periodic review

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Jeniffer

1 year ago

C) Encrypting personal data at rest

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Robt

1 year ago

A) Implementing routine automatic validation

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Sabrina

1 year ago

D) Updating the data quality standard through periodic review is a must. It's like spring cleaning for your data - gotta keep it fresh and sparkling!

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Mari

1 year ago

C) Encrypting personal data at rest is crucial, especially in this day and age of data breaches. It's like locking your valuables in a safe - you can sleep better at night.

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Amber

1 year ago

D) Updating the data quality standard through periodic review

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Slyvia

1 year ago

C) Encrypting personal data at rest

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Albert

1 year ago

B) Maintaining hashes to detect changes in data

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Filiberto

1 year ago

A) Implementing routine automatic validation

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Ranee

1 year ago

A) Implementing routine automatic validation seems like the most proactive approach to maintaining data quality. It's like having a personal fitness trainer to keep you in shape!

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Angella

1 year ago

But wouldn't updating the data quality standard through periodic review also help maintain data quality?

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Cheryl

1 year ago

I disagree, I believe the answer is C) Encrypting personal data at rest.

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Angella

1 year ago

I think the answer is A) Implementing routine automatic validation.

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