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Google Professional Cloud Architect Exam - Topic 11 Question 68 Discussion

Actual exam question for Google's Professional Cloud Architect exam
Question #: 68
Topic #: 11
[All Professional Cloud Architect Questions]

Your company is using BigQuery as its enterprise data warehouse. Data is distributed over several Google Cloud projects. All queries on BigQuery need to be billed on a single project. You want to make sure that no query costs are incurred on the projects that contain the dat

a. Users should be able to query the datasets, but not edit them.

How should you configure users' access roles?

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Suggested Answer: B

by Vi at Apr 20, 2023, 01:10 PM

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Kristine
4 months ago
Wait, can we really restrict costs like this? Sounds tricky!
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Camellia
4 months ago
D sounds off, why give jobUser on data projects?
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Weldon
4 months ago
C is interesting, but can users really run queries without jobUser?
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Kaitlyn
4 months ago
I disagree, B might be better for billing clarity.
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Felicia
4 months ago
A seems right, users need to view data without editing.
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Mose
5 months ago
I’m confused about the roles; I thought jobUser was for executing jobs, but I can’t remember if it’s needed on the billing project. Option D might be right, but I’m not sure.
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Gilberto
5 months ago
I practiced a similar question, and I think the billing project needs the dataViewer role to avoid costs, so maybe option B is correct?
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Cecil
5 months ago
I’m not entirely sure, but I think the BigQuery jobUser role is necessary for running queries, which makes me lean towards option C.
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Lizbeth
5 months ago
I remember that the BigQuery user role allows querying but not editing, so option A seems like it could work.
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Alona
5 months ago
Okay, let me think this through. Since the question specifically mentions "any new CPE deployment," I'll go with option C and select the preferred software version in the Device Bind Data.
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Amos
5 months ago
I think I remember practicing a question similar to this, but I'm not completely sure about the specific numbers.
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Elenora
5 months ago
I remember learning about this in my cybersecurity class. I believe the correct answer is A - Tempest. It's a technique for preventing unauthorized access to information by monitoring electromagnetic signals.
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Wendell
5 months ago
Okay, let me think this through. Since we need to use Azure Defender to protect the on-premises computers, I'm guessing we need to install some kind of agent on them. The Log Analytics agent or the Connected Machine agent seem like the most likely options.
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Mari
5 months ago
This is a tricky one. The key is understanding how maintenance costs relate to the overall product cost and ROI. If reducing maintenance through quality improvements can lower that 80% figure, then it should boost ROI. I'll go with A.
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Mitsue
10 months ago
A, B, C, or D? Might as well just pick the one that sounds the most 'BigQuery-ish'.
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Ashton
9 months ago
C) Add all users to a group. Grant the group the roles of BigQuery jobUser on the billing project and BigQuery dataViewer on the projects that contain the data.
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Flo
9 months ago
B) Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery user on the projects that contain the data.
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Paz
9 months ago
A) Add all users to a group. Grant the group the role of BigQuery user on the billing project and BigQuery dataViewer on the projects that contain the data.
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Lavera
10 months ago
Okay, let's see... Billing project, data projects, user access... This is like a game of 'Cloud Tetris' or something.
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Joesph
8 months ago
D) Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery jobUser on the projects that contain the data.
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Juan
8 months ago
C) Add all users to a group. Grant the group the roles of BigQuery jobUser on the billing project and BigQuery dataViewer on the projects that contain the data.
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Ezekiel
8 months ago
B) Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery user on the projects that contain the data.
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Chu
8 months ago
A) Add all users to a group. Grant the group the role of BigQuery user on the billing project and BigQuery dataViewer on the projects that contain the data.
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Lai
9 months ago
D) Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery jobUser on the projects that contain the data.
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Kendra
9 months ago
C) Add all users to a group. Grant the group the roles of BigQuery jobUser on the billing project and BigQuery dataViewer on the projects that contain the data.
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Tamala
10 months ago
B) Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery user on the projects that contain the data.
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Afton
10 months ago
A) Add all users to a group. Grant the group the role of BigQuery user on the billing project and BigQuery dataViewer on the projects that contain the data.
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Doyle
10 months ago
BigQuery, huh? Sounds like a fancy database. I wonder if they have a 'BigMac' option too.
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Blondell
10 months ago
Hmm, this looks like a tricky one. I'm going to have to think this through carefully.
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Aide
10 months ago
I'm not sure, I think option C might be better. It grants the group the role of BigQuery jobUser on the billing project.
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Frank
11 months ago
I agree with Rodrigo. Option A seems to provide the right balance of access and restrictions.
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Rodrigo
11 months ago
I think option A is the best choice. It allows users to query the datasets without editing them.
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