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IBM Exam C9510-401 Topic 5 Question 109 Discussion

Actual exam question for IBM's C9510-401 exam
Question #: 109
Topic #: 5
[All C9510-401 Questions]

A system administrator needs to configure a JDBC provider and a data source for an application in a clustered environment. The administrator also needs to copy the JDBC drivers from the database server to the application server machines.

How can the administrator meet these requirements?

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Suggested Answer: A

by Anna at Mar 24, 2025, 08:42 AM

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Lavina
4 months ago
Option C is the way to go. Centralizing the driver at the deployment manager is the most efficient way to manage this in a clustered environment. #ClusterFTW
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Evelynn
3 months ago
Definitely, it helps with consistency and maintenance in the long run.
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Annita
3 months ago
It's important to centralize resources in a clustered environment for better control.
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Elke
3 months ago
I agree, having the driver at the deployment manager level makes things easier.
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Kenneth
3 months ago
Option C is definitely the best choice. It simplifies driver management.
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Ivory
3 months ago
I agree, centralizing the driver at the deployment manager makes it easier to maintain and update.
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Idella
3 months ago
Option C is definitely the best choice. It simplifies management in a clustered environment.
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Dierdre
4 months ago
Hold up, why are we even talking about this? Can't we just use a cloud-based database and let the platform handle all this for us? #LazyAdmin
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Jesusita
4 months ago
I see your point, Hannah. However, I think C might be the best option. Creating the JDBC provider in the node scope and data source in the cell scope could simplify the process.
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Hannah
4 months ago
But wouldn't copying the driver to all nodes be more efficient? That's why I think A is the correct answer.
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Bok
4 months ago
Option D is the clear winner! Copying the driver to all app servers and setting the environment variable in each JVM is the most robust solution.
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Penney
4 months ago
I'd go with option B. Creating the JDBC provider and data source at different scopes seems more flexible and manageable.
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Vernice
2 months ago
Definitely. It's all about making sure the setup is efficient and easy to maintain in the long run.
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Eliz
2 months ago
Copying the driver to all application servers and setting the environment variable at the node level makes sense for better control.
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Daryl
2 months ago
I agree. It's important to have a clear structure when setting up these configurations in a clustered environment.
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Moira
2 months ago
Option B sounds like a good choice. It allows for more flexibility in managing the JDBC provider and data source.
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Billye
3 months ago
Definitely. It helps ensure that the necessary resources are available across the cluster for the application to function properly.
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Wilda
3 months ago
Copying the driver to all application servers and setting the environment variable at the node level makes sense for a clustered environment.
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Frank
3 months ago
I agree. It's important to have a clear separation of concerns when setting up these configurations.
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Erinn
3 months ago
Option B sounds like the best choice. It allows for more flexibility in managing the JDBC provider and data source.
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Annamae
4 months ago
Option A seems like the way to go. Configuring at the cluster scope and copying the driver to all nodes is the most comprehensive approach.
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Lynda
3 months ago
It's important to make sure the JDBC provider and data source are set up correctly in a clustered environment to avoid any issues with connectivity.
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Gregoria
3 months ago
I agree, setting the environment variable at the node level to the driver's path ensures that all nodes have access to the driver.
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Vivan
4 months ago
Option A seems like the way to go. Configuring at the cluster scope and copying the driver to all nodes is the most comprehensive approach.
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Truman
4 months ago
I disagree, I believe the answer is B. Creating the JDBC provider in the server scope and data source in the node scope seems more logical to me.
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Hannah
5 months ago
I think the answer is A. It makes sense to create the JDBC provider and data source in the cluster scope.
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