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Google Professional Cloud Security Engineer Exam - Topic 4 Question 106 Discussion

Your organization uses BigQuery to process highly sensitive, structured datasets. Following the "need to know" principle, you need to create the Identity and Access Management (IAM) design to meet the needs of these users:* Business user must access curated reports.* Data engineer: must administrate the data lifecycle in the platform.* Security operator: must review user activity on the data platform.What should you do?
C) Create curated tables in a separate dataset and assign the role roles/bigquery.dataViewer.
A) Configure data access log for BigQuery services, and grant Project Viewer role to security operators.
B) Generate a CSV data file based on the business user's needs, and send the data to their email addresses.
D) Set row-based access control based on the 'region' column, and filter the record from the United States for data engineers.

Google Professional Cloud Security Engineer Exam - Topic 4 Question 106 Discussion

Actual exam question for Google's Professional Cloud Security Engineer exam
Question #: 106
Topic #: 4
[All Professional Cloud Security Engineer Questions]

Your organization uses BigQuery to process highly sensitive, structured datasets. Following the "need to know" principle, you need to create the Identity and Access Management (IAM) design to meet the needs of these users:

* Business user must access curated reports.

* Data engineer: must administrate the data lifecycle in the platform.

* Security operator: must review user activity on the data platform.

What should you do?

Show Suggested Answer Hide Answer
Suggested Answer: C

This option directly addresses the needs of the business user who must access curated reports. By creating curated tables in a separate dataset, you can control access to specific data. Assigning the roles/bigquery.dataViewer role allows the business user to view the data in BigQuery.


Contribute your Thoughts:

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Brandon
9 months ago
I disagree, D is too restrictive for data engineers.
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Dahlia
9 months ago
I think C is the best choice for business users.
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Kristian
9 months ago
Wait, sending CSVs via email? That seems risky!
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Cammy
9 months ago
A and C together could really cover all bases!
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Jesus
9 months ago
Option A sounds solid for security operators.
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Narcisa
10 months ago
I'm a bit confused about option D; I know row-based access control is important, but I'm not sure if filtering by region is the right way to handle access for data engineers.
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Angella
10 months ago
I feel like option A could be relevant since it mentions configuring data access logs, which we covered in a practice question about monitoring user activity.
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Marylin
10 months ago
I think option C sounds familiar because we practiced creating curated tables and assigning roles, but I can't recall if that's the best approach for security operators.
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Melinda
10 months ago
I remember we discussed the importance of the "need to know" principle in our last study session, but I'm not sure which option best aligns with that.
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Rodney
11 months ago
I've got a strategy in mind. I'll need to set up the necessary permissions and access controls to meet the needs of each user, while also ensuring the "need to know" principle is upheld. Time to put my BigQuery IAM knowledge to the test!
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Annamae
11 months ago
Okay, let's see. I need to create an IAM design that grants the appropriate access for the business user, data engineer, and security operator. I'll need to review the access control options in BigQuery to determine the best approach.
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Alease
11 months ago
Hmm, I'm a bit unsure about this one. There are a few options that seem plausible, but I'll need to carefully consider the requirements for each user type.
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Shaniqua
11 months ago
This question seems straightforward. I think the key is to focus on the different user roles and their access needs.
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Arminda
11 months ago
Wait, we're not supposed to send sensitive data via email? That's news to me! Just kidding, C is the clear winner here.
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Nelida
11 months ago
D sounds interesting, but row-level access control might be overkill for this use case. I'd go with C as well.
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Mable
1 year ago
Haha, sending the data to their email? That's a security nightmare waiting to happen. C is definitely the way to go here.
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Marci
12 months ago
A) Configure data access log for BigQuery services, and grant Project Viewer role to security operators.
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Karon
1 year ago
A is a good start, but I think we need more granular control over who can access the sensitive data. C looks like the best solution to me.
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Freeman
12 months ago
A) Configure data access log for BigQuery services, and grant Project Viewer role to security operators.
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Dell
1 year ago
Option C seems like the way to go. Separating the curated data into a dedicated dataset and granting the appropriate roles is a clean and secure approach.
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Lorean
1 year ago
Definitely. It helps maintain data security and control access effectively.
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Taryn
1 year ago
That makes sense. It's important to ensure that the right users have access to the right data.
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Mindy
1 year ago
Option C seems like the way to go. Separating the curated data into a dedicated dataset and granting the appropriate roles is a clean and secure approach.
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