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IBM C1000-143 Exam - Topic 1 Question 49 Discussion

Actual exam question for IBM's C1000-143 exam
Question #: 49
Topic #: 1
[All C1000-143 Questions]

Which two self-monitoring parameters of an ObjectServer should be watched closely?

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Suggested Answer: C

by Freida at Sep 19, 2024, 05:39 AM

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Edelmira
6 months ago
Total message queue duration? That sounds surprising!
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Novella
6 months ago
I agree with the heap size, but alerts.row counts seem off.
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Milly
6 months ago
Wait, are pod restarts really that important?
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Remedios
7 months ago
I think total trigger times are crucial too.
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Lindy
7 months ago
Definitely keep an eye on Java heap size!
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Sharen
7 months ago
I'm leaning towards total message queue duration as a key parameter, but I wonder if pod restarts number might also be relevant.
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Una
7 months ago
Total trigger times in the profiling period seems familiar; I feel like it could be important for performance monitoring.
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Adolph
8 months ago
I think alerts.status row counts were mentioned in a practice question, but I can't recall their significance.
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Lashon
8 months ago
I remember we discussed the importance of monitoring Java heap size, but I'm not sure if it's the only critical parameter.
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Sharika
8 months ago
I think the Java heap size and total message queue duration are the two key parameters to focus on here. Those will give you a good sense of the ObjectServer's overall performance and resource utilization.
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Marsha
8 months ago
Okay, let's see. The Java heap size and total trigger times are definitely important to monitor for the ObjectServer. I'd also keep an eye on the alerts.status row counts to see if there are any issues there.
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Lashonda
8 months ago
Hmm, I'm a bit unsure about this one. I know the ObjectServer is important, but I'm not totally clear on all the specific parameters I should be watching. Guess I'll have to think it through carefully.
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Ming
8 months ago
This seems like a pretty straightforward question. I'd focus on the key parameters related to the ObjectServer's performance and health.
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Gertude
1 year ago
Wait, there's an ObjectServer on this exam? I thought we were just discussing how to optimize our coffee break schedule.
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Sharen
1 year ago
Well, I'm just hoping the right answers aren't E) Total message queue duration and B) Java heap size. That would be a real headache to monitor!
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Yvonne
12 months ago
D) Pod restarts number is another important parameter to keep an eye on.
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Adell
12 months ago
C) alerts.status row counts should also be closely watched.
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Artie
1 year ago
A) Total trigger times in the profiling period is crucial to monitor.
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Georgene
1 year ago
D) Pod restarts number? Really? I'd rather keep an eye on the number of times I need to restart my computer after taking this exam. That seems like a more important metric to me.
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Coral
1 year ago
C) alerts.status row counts
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Fletcher
1 year ago
B) Java heap size
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Buck
1 year ago
A) Total trigger times in the profiling period
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Davida
1 year ago
Hmm, I think A) Total trigger times and C) alerts.status row counts are the way to go. You need to know what's triggering the alerts and how they're being processed.
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Angelo
11 months ago
Total message queue duration is another key parameter to monitor for efficient message processing.
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Izetta
11 months ago
Pod restarts number can indicate potential issues with the ObjectServer environment.
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Candra
12 months ago
Java heap size is also important to keep an eye on to ensure optimal memory usage.
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Altha
12 months ago
I agree, monitoring trigger times and alert row counts is crucial for ObjectServer performance.
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Janella
1 year ago
Yes, those parameters give a good indication of the ObjectServer's health.
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Shizue
1 year ago
I agree, monitoring trigger times and alert status is crucial for performance.
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Francis
1 year ago
I'm pretty sure the correct answers are B) Java heap size and E) Total message queue duration. Gotta keep an eye on those memory and performance metrics, am I right?
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Jenelle
1 year ago
I also think Total trigger times in the profiling period is important to monitor, as it can show the performance of the ObjectServer.
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Sommer
1 year ago
I agree with Anglea. Java heap size can indicate memory issues and alerts.status row counts can show the status of alerts.
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Anglea
1 year ago
I think we should watch Java heap size and alerts.status row counts closely.
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