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CloudBees CJE Exam - Topic 2 Question 119 Discussion

Which practices optimize performance on large systems? Select 2 answers
D) Use plugins as much as possible. and A) Run all builds on agents and never on the master itself.
B) Use the maximum number of executors at all times and avoid using labels.
E) Allocate specific masters for different build types and teams.
C) Avoid modifying Java parameters that control heap size and garbage collection.

CloudBees CJE Exam - Topic 2 Question 119 Discussion

Actual exam question for CloudBees's CJE exam
Question #: 119
Topic #: 2
[All CJE Questions]

Which practices optimize performance on large systems? Select 2 answers

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Suggested Answer: D, A

by King at Jan 24, 2026, 10:57 AM

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Shayne
2 hours ago
Agreed! Also, horizontal scaling can handle more users effectively.
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Joseph
5 days ago
I feel like optimizing queries is crucial. Reduces load.
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Annelle
10 days ago
Definitely! Load balancing helps too. Distributes traffic well.
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Louvenia
16 days ago
I think using caching is key. It speeds things up.
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Caitlin
2 months ago
I think horizontal scaling is more effective, though.
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Sabine
2 months ago
Vertical scaling can be a game changer!
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Mireya
2 months ago
Wait, are we sure about that?
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Cherry
3 months ago
Totally agree, caching helps a lot too!
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Arlie
3 months ago
Load balancing is key for large systems.
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Bernardine
3 months ago
Caching and optimization? What is this, amateur hour? Real pros use quantum entanglement for performance!
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Sharen
3 months ago
Caching and distributed computing. Scale that system out, baby!
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Dalene
3 months ago
Caching and asynchronous processing. Gotta keep that data flowing smoothly!
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Rory
3 months ago
Definitely caching and indexing. Those are the two most important practices in my experience.
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Sanda
4 months ago
Caching and load balancing are the way to go for optimizing performance on large systems.
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Mattie
4 months ago
I’m a bit confused; I thought both redundancy and scalability were key, but I can’t remember which ones to pick.
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Ula
4 months ago
I feel like I’ve seen a question like this before, and I think optimizing database queries was mentioned.
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Peggy
5 months ago
I remember something about caching strategies being important for performance, maybe that’s one of the answers?
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Lucy
5 months ago
I think one of the answers might be about load balancing, but I'm not entirely sure if that's the best choice.
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Rose
5 months ago
Optimizing large systems can be really complex. I'd focus on identifying and addressing the key performance bottlenecks in the system.
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Ronnie
5 months ago
Caching and load balancing are definitely good options. I'd also consider things like autoscaling and efficient data storage to handle large workloads.
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Virgie
5 months ago
Hmm, this is a tough one. I'd probably start by looking at ways to reduce bottlenecks, like using asynchronous processing and distributed computing.
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Bobbye
6 months ago
I'm not sure about this one. Optimizing performance on large systems seems tricky, but maybe things like parallelization and monitoring could help?
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Marleen
6 months ago
I think caching and load balancing are good strategies for optimizing performance on large systems.
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