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Databricks Certified Data Engineer Professional Exam - Topic 1 Question 44 Discussion

When evaluating the Ganglia Metrics for a given cluster with 3 executor nodes, which indicator would signal proper utilization of the VM's resources?
E) CPU Utilization is around 75%
D) Total Disk Space remains constant
B) Bytes Received never exceeds 80 million bytes per second
C) Network I/O never spikes
A) The five Minute Load Average remains consistent/flat

Databricks Certified Data Engineer Professional Exam - Topic 1 Question 44 Discussion

Actual exam question for Databricks's Databricks Certified Data Engineer Professional exam
Question #: 44
Topic #: 1
[All Databricks Certified Data Engineer Professional Questions]

When evaluating the Ganglia Metrics for a given cluster with 3 executor nodes, which indicator would signal proper utilization of the VM's resources?

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Suggested Answer: E

by Serina at Jan 24, 2026, 02:11 AM

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Felice
5 days ago
Disk I/O rates are important. They show if we're reading/writing efficiently.
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Lettie
10 days ago
Network throughput matters. High values indicate good resource use.
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Bok
16 days ago
I think memory usage is key too. Should be close to 75%.
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Corrie
2 months ago
CPU usage percentage should be around 70-80%.
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Von
2 months ago
I’m not sure, I thought lower CPU usage was better for performance.
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Therese
2 months ago
Totally agree, disk I/O metrics matter too!
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Ellsworth
3 months ago
Wait, isn't 100% utilization a sign of overloading?
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Chun
3 months ago
I think memory usage is more important, though.
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Shizue
3 months ago
CPU utilization around 70% is ideal.
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Chandra
3 months ago
Monitoring the Ganglia metrics is like playing resource utilization Tetris, gotta keep an eye on all the pieces!
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Janna
3 months ago
Haha, I bet the Ganglia developers had a field day coming up with those metric names!
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Mari
3 months ago
Checking the network I/O metrics could also provide insights into the cluster's resource utilization.
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Jenifer
4 months ago
I'd look at the memory usage metric to see if the VMs are being utilized efficiently.
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Julieta
4 months ago
The CPU utilization metric would be a good indicator of proper VM resource utilization.
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Art
4 months ago
From what I studied, I believe that a balanced CPU and memory usage around 70-80% is a good sign, but I need to double-check that.
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Glenn
5 months ago
I feel like network throughput might also be important, but I can't recall if it directly relates to VM resource utilization.
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Darrin
5 months ago
I remember a practice question where we had to analyze similar metrics, and I think a good indicator is the CPU load average being close to the number of cores.
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Lawrence
5 months ago
I think we should look at the CPU and memory usage metrics, but I'm not entirely sure which specific values indicate proper utilization.
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Rutha
5 months ago
I've got a strategy for this. I'll focus on finding the Ganglia metric that shows the overall resource usage across the 3 executor nodes. That should give me the best insight into how the VMs are being utilized.
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Josefa
5 months ago
I'm a bit unsure about this one. Ganglia metrics can be complex, but I think I remember something about CPU and memory utilization being good indicators. I'll have to double-check that.
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Ruthann
6 months ago
Okay, let's see. The key is to identify which metric would indicate if the executor nodes are using the VM resources effectively. I'll have to review my notes on Ganglia.
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Laurel
6 months ago
Hmm, this seems like a tricky one. I'll need to think through the Ganglia metrics and how they relate to VM resource utilization.
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Tresa
2 hours ago
I think CPU usage is a key indicator.
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