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Google Associate Data Practitioner Exam - Topic 4 Question 2 Discussion

You are a data analyst working with sensitive customer data in BigQuery. You need to ensure that only authorized personnel within your organization can query this data, while following the principle of least privilege. What should you do?
D) Export the data to Cloud Storage, and use signed URLs to authorize access.
A) Enable access control by using IAM roles.
B) Encrypt the data by using customer-managed encryption keys (CMEK).
C) Update dataset privileges by using the SQL GRANT statement.

Google Associate Data Practitioner Exam - Topic 4 Question 2 Discussion

Actual exam question for Google's Associate Data Practitioner exam
Question #: 2
Topic #: 4
[All Associate Data Practitioner Questions]

You are a data analyst working with sensitive customer data in BigQuery. You need to ensure that only authorized personnel within your organization can query this data, while following the principle of least privilege. What should you do?

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Suggested Answer: D

Using IAM roles to enable access control in BigQuery is the best approach to ensure that only authorized personnel can query the sensitive customer data. IAM allows you to define granular permissions at the project, dataset, or table level, ensuring that users have only the access they need in accordance with the principle of least privilege. For example, you can assign roles like roles/bigquery.dataViewer to allow read-only access or roles/bigquery.dataEditor for more advanced permissions. This approach provides centralized and manageable access control, which is critical for protecting sensitive data.


by Isidra at Jan 24, 2025, 12:55 AM

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Maynard
9 months ago
D sounds complicated for just querying data!
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Dallas
9 months ago
C is useful, but it doesn't cover all access scenarios.
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Lindsey
10 months ago
Wait, can you really manage access just with IAM roles?
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Tegan
10 months ago
I think B is more about data security than access control.
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Kristine
10 months ago
A is definitely the way to go for access control!
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Celeste
10 months ago
Exporting data to Cloud Storage with signed URLs seems like a workaround, but I don't think it directly addresses the access control needed for querying in BigQuery.
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Mendy
11 months ago
I'm a bit confused about the SQL GRANT statement. I feel like it might be relevant, but I can't recall if it applies to BigQuery specifically.
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Raymon
11 months ago
I remember a practice question where we had to manage access to sensitive data, and IAM roles were definitely emphasized as a key solution.
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Linwood
11 months ago
I think enabling access control with IAM roles is the best option here, but I'm not entirely sure if it covers all aspects of the least privilege principle.
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Ryan
11 months ago
I'm a little confused on the difference between options A and C. Aren't they both about managing permissions? I'll need to review the details on each one to decide which is the better approach for this scenario.
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Lawrence
11 months ago
Okay, I think I've got this. The key here is following the principle of least privilege, so I'm leaning towards option A with IAM roles. That way I can really fine-tune the permissions for each authorized user.
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Edison
11 months ago
Hmm, I'm not sure about this one. I'm thinking option B with customer-managed encryption keys might be the way to go, but I'm not totally confident. I'll need to double-check the details on that.
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Nickie
11 months ago
This seems pretty straightforward. I'd go with option A and use IAM roles to control access. That way I can grant the least amount of privilege to each user.
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Karol
2 years ago
I think I would go with A) as well. It's crucial to follow the principle of least privilege when dealing with sensitive data.
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Malinda
2 years ago
That's true, but in this case, restricting access through IAM roles is more important to prevent unauthorized queries.
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Magdalene
2 years ago
Signed URLs? What is this, the Dark Ages? IAM roles are the modern solution for this problem. Keep up with the times, my dude.
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Alana
1 year ago
C) Update dataset privileges by using the SQL GRANT statement.
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Naomi
1 year ago
A) Enable access control by using IAM roles.
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Yaeko
2 years ago
B) Encrypt the data by using customer-managed encryption keys (CMEK).
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Colette
2 years ago
A) Enable access control by using IAM roles.
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Tabetha
2 years ago
But what about option B) Encrypt the data by using customer-managed encryption keys (CMEK)? Wouldn't that add an extra layer of security?
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Merlyn
2 years ago
Haha, the SQL GRANT statement? That's so 2010. IAM roles are the way to go these days, my friend.
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Verdell
1 year ago
D) Export the data to Cloud Storage, and use signed URLs to authorize access.
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Ria
2 years ago
C) Update dataset privileges by using the SQL GRANT statement.
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Felicia
2 years ago
B) Encrypt the data by using customer-managed encryption keys (CMEK).
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Noel
2 years ago
A) Enable access control by using IAM roles.
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Kent
2 years ago
I agree with Malinda. IAM roles provide fine-grained access control.
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Diane
2 years ago
I'm torn between A and B. Encryption is also important for protecting customer data, but access control should be the priority here.
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Cheryll
2 years ago
User 2: I agree, access control is crucial for protecting sensitive data.
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Tarra
2 years ago
User 1: I think you should go with A) Enable access control by using IAM roles.
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Malinda
2 years ago
I think the best option is A) Enable access control by using IAM roles.
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Marcos
2 years ago
Definitely going with option A. Using IAM roles is the best way to control access to sensitive data in BigQuery.
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Tom
2 years ago
Enabling access control with IAM roles is a secure and efficient way to manage data access.
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Felton
2 years ago
I agree, it's important to follow the principle of least privilege when dealing with customer data.
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Verdell
2 years ago
IAM roles are definitely the way to go for controlling access to sensitive data in BigQuery.
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