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Google Professional Data Engineer Exam - Topic 2 Question 87 Discussion

Which of these is NOT a way to customize the software on Dataproc cluster instances?
C) Configure the cluster using Cloud Deployment Manager
A) Set initialization actions
B) Modify configuration files using cluster properties
D) Log into the master node and make changes from there

Google Professional Data Engineer Exam - Topic 2 Question 87 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 87
Topic #: 2
[All Professional Data Engineer Questions]

Which of these is NOT a way to customize the software on Dataproc cluster instances?

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Sharee
7 months ago
Wait, is logging into the master node really not a way?
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Clarinda
8 months ago
Nope, Cloud Deployment Manager is a legit option!
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Marguerita
8 months ago
I thought logging into the master node was a valid way?
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Shalon
8 months ago
Agree, modifying config files is a common method too.
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Lilli
8 months ago
You can definitely set initialization actions.
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Ahmad
9 months ago
I'm a bit confused about the options, but I remember that initialization actions are a standard way to customize. Not sure about the others though.
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Aileen
9 months ago
I feel like we had a practice question about this, and I think logging into the master node might be the odd one out.
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Shaquana
9 months ago
I think modifying configuration files is definitely a way to customize, but I can't recall if using Cloud Deployment Manager is also valid.
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Leontine
9 months ago
I remember we discussed initialization actions in class, but I'm not sure if logging into the master node is considered a proper customization method.
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Truman
9 months ago
Alright, let me walk through this step-by-step. We can set initialization actions, modify configuration files, and use Deployment Manager - those are all valid ways to customize the cluster. The one that doesn't fit is logging into the master node, so I'll go with D.
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Carlee
9 months ago
I'm a bit unsure about this one. I know we can use Cloud Deployment Manager to configure the cluster, but I'm not sure if that's considered a way to "customize" the software. Hmm, I'll have to think it through.
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Kayleigh
9 months ago
Okay, let's see. I know we can set initialization actions and modify configuration files, but what about the other options? I'll have to double-check those.
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Denna
9 months ago
Hmm, this looks like a tricky one. I'll need to think through the different ways to customize Dataproc clusters and eliminate the ones that don't fit.
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Joaquin
9 months ago
Ah, I remember learning about this in class. I'm pretty confident the answer is D - logging into the master node and making changes from there is not a recommended way to customize the cluster.
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Beatriz
9 months ago
Okay, I've got it! Structural rules are about the organization's policies, while operative rules are about determining what is true or what category something falls into. I'm confident I can answer this correctly.
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Ressie
9 months ago
This is a tricky one. I'm not entirely sure, but I think the answer might be C. The Sprint length should hold, and the team can learn from this experience to better estimate what they can accomplish in future Sprints.
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Corrina
10 months ago
Okay, let me break this down step-by-step. I think I can work through this if I take my time and focus on the key details.
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Dylan
1 year ago
D) Log into the master node and make changes from there - Wait, that's not an option? Dang, and here I was planning a stand-up routine about hacking the cluster. Guess I'll have to stick to cloud puns instead.
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Toshia
1 year ago
C) Configure the cluster using Cloud Deployment Manager
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Kattie
1 year ago
B) Modify configuration files using cluster properties
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Madelyn
1 year ago
A) Set initialization actions
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Thersa
1 year ago
C) Configure the cluster using Cloud Deployment Manager - Ah, the cloud way. Very fancy, but I prefer the hands-on approach, you know?
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Trevor
1 year ago
A) Set initialization actions - Hmm, sounds like a fun way to get creative with my cluster. Might as well give it a shot!
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Sunny
1 year ago
C) Configure the cluster using Cloud Deployment Manager - That's a valid option as well, it helps with managing the cluster configuration.
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Mona
1 year ago
B) Modify configuration files using cluster properties - That's another way to customize the software on Dataproc cluster instances.
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Belen
1 year ago
A) Set initialization actions - That's a good choice! It allows you to run custom scripts when the cluster starts.
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Joanna
1 year ago
B) Modify configuration files using cluster properties - Now that's the way to go! Clean, by-the-book solution.
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Alpha
1 year ago
D) Log into the master node and make changes from there - That sounds like a lot of manual work.
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Sheridan
1 year ago
B) Modify configuration files using cluster properties - Definitely the most straightforward option.
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Carry
1 year ago
A) Set initialization actions - I heard that can be a bit tricky sometimes.
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Leonora
1 year ago
D) Log into the master node and make changes from there - That's cheating! We need to stick to the official customization methods.
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Stephen
1 year ago
C) Configure the cluster using Cloud Deployment Manager
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Desirae
1 year ago
B) Modify configuration files using cluster properties
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Nu
1 year ago
A) Set initialization actions
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Becky
1 year ago
But isn't modifying configuration files using cluster properties also a way to customize the software?
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Dyan
1 year ago
I disagree, I believe the correct answer is C) Configure the cluster using Cloud Deployment Manager.
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Becky
1 year ago
I think the answer is D) Log into the master node and make changes from there.
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Joana
1 year ago
But why do you think that? I thought modifying configuration files using cluster properties was not a way to customize the software.
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Tequila
1 year ago
I disagree, I believe the correct answer is C) Configure the cluster using Cloud Deployment Manager.
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Joana
1 year ago
I think the answer is D) Log into the master node and make changes from there.
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