Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

IBM C1000-150 Exam - Topic 2 Question 38 Discussion

A new modification to the current Deployment has rendered it unstable. How can stability be regained?
A) Scale the Deployment.
B) Modify the ReplicaSet.
C) Restart the Deployment.
D) Rollback to an earlier Deployment.

IBM C1000-150 Exam - Topic 2 Question 38 Discussion

Actual exam question for IBM's C1000-150 exam
Question #: 38
Topic #: 2
[All C1000-150 Questions]

A new modification to the current Deployment has rendered it unstable. How can stability be regained?

Show Suggested Answer Hide Answer
Suggested Answer: A

IBM Cloud Pak foundational services monitoring requires Role-based access control (RBAC) to monitor APIs and data. This ensures that only authorized users have access to the data and APIs that are being monitored. It also ensures that data is only being accessed by users with the appropriate permissions. Kibana is used as the data source for the Cloud Pak foundational services monitoring. Adopter customization is only necessary to query and visualize application metrics. Red Hat OpenShift Container Platform monitoring is not required for Cloud Pak foundational services monitoring.


by Loren at Aug 08, 2024, 10:09 AM

Limited Time Offer

25%

Off

Get Premium C1000-150 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Stephania
8 months ago
Wait, can we really just restart it? Sounds too easy!
upvoted 0 times
...
Lauran
8 months ago
Modifying the ReplicaSet could work too, but risky!
upvoted 0 times
...
Beckie
8 months ago
Scaling might just make it worse, not sure about that.
upvoted 0 times
...
Erinn
8 months ago
I think rolling back is the safest option.
upvoted 0 times
...
Alpha
9 months ago
Restarting the Deployment usually helps!
upvoted 0 times
...
Louisa
9 months ago
Restarting the Deployment could work, but I feel like it might just be a temporary fix rather than a long-term solution.
upvoted 0 times
...
Oren
9 months ago
Modifying the ReplicaSet sounds familiar, but I can't recall if that directly addresses instability caused by a recent change.
upvoted 0 times
...
Daren
9 months ago
I remember practicing rollback scenarios, and it seems like option D might be the safest choice to regain stability quickly.
upvoted 0 times
...
Van
9 months ago
I think scaling the Deployment could help, but I'm not entirely sure if that's the best first step.
upvoted 0 times
...
Rosamond
9 months ago
Rollback to an earlier Deployment seems like the safest option. I'll go with that.
upvoted 0 times
...
Martha
9 months ago
Restarting the Deployment could be worth a try, but I'm not sure if that will address the root cause of the issue.
upvoted 0 times
...
Lang
9 months ago
I'm leaning towards modifying the ReplicaSet. That might be the key to regaining stability.
upvoted 0 times
...
Bernardine
9 months ago
Okay, let's see. Scaling the Deployment could help, but I'm not sure if that's the best approach here.
upvoted 0 times
...
Aracelis
9 months ago
Hmm, this seems like a tricky one. I'll need to think it through carefully.
upvoted 0 times
...
Hana
10 months ago
Okay, I remember learning about these different value models in class. I'm pretty confident that the answer is A. Value networks, since that's the one that's centered on the key participants.
upvoted 0 times
...
Sue
1 year ago
Rollback to an earlier Deployment? That's the equivalent of hitting the reset button. Sometimes the old ways are the best, amirite?
upvoted 0 times
Kayleigh
1 year ago
D) Rollback to an earlier Deployment.
upvoted 0 times
...
Emelda
1 year ago
C) Restart the Deployment.
upvoted 0 times
...
Golda
1 year ago
B) Modify the ReplicaSet.
upvoted 0 times
...
Lenna
1 year ago
A) Scale the Deployment.
upvoted 0 times
...
...
Leatha
1 year ago
Modifying the ReplicaSet? That's like rearranging the deck chairs on the Titanic. Gotta go with the classic rollback, option D.
upvoted 0 times
...
Alba
1 year ago
Scaling the Deployment? That's like trying to put out a fire by adding more fuel. I'm going with D, the tried and true rollback approach.
upvoted 0 times
Kathrine
1 year ago
Then we can try modifying the ReplicaSet.
upvoted 0 times
...
Shawna
1 year ago
But what if the issue persists even after the rollback?
upvoted 0 times
...
Tayna
1 year ago
Rollback to an earlier Deployment.
upvoted 0 times
...
...
Emogene
1 year ago
Restarting the Deployment? That's a bold move, Cotton. I'd be a little worried about losing any unsaved changes. Gonna have to go with D on this one.
upvoted 0 times
Hannah
1 year ago
I think restarting could be a quick fix, but rolling back is probably the best bet.
upvoted 0 times
...
Virgina
1 year ago
True, but scaling the Deployment might also help stabilize it.
upvoted 0 times
...
Kimberlie
1 year ago
But what if the issue is with the ReplicaSet? Maybe modifying that could help.
upvoted 0 times
...
Mari
1 year ago
I agree, rolling back seems like the safest option.
upvoted 0 times
...
...
Desire
1 year ago
Hmm, I think option D is the way to go. A rollback to an earlier Deployment version should restore stability. Gotta love that Kubernetes resilience!
upvoted 0 times
Temeka
1 year ago
I agree, let's go ahead and rollback to restore stability.
upvoted 0 times
...
Paulene
1 year ago
Option D sounds like the best solution. Let's rollback to the earlier Deployment version.
upvoted 0 times
...
...
Mozelle
1 year ago
I think we should rollback to an earlier Deployment to ensure stability.
upvoted 0 times
...
Elza
1 year ago
I agree with Brunilda, scaling the Deployment seems like the best option.
upvoted 0 times
...
Brunilda
1 year ago
I think we should scale the Deployment to regain stability.
upvoted 0 times
...

Save Cancel