Discuss CloudBees CJE Exam Topic 2 Question 119

Which practices optimize performance on large systems? Select 2 answers

BUse the maximum number of executors at all times and avoid using labels.

EAllocate specific masters for different build types and teams.

CAvoid modifying Java parameters that control heap size and garbage collection.

DUse plugins as much as possible.

ARun all builds on agents and never on the master itself.

Suggested Answer: D, A

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26 comments · newest first

Shayne 3 months ago

Agreed! Also, horizontal scaling can handle more users effectively.

Joseph 3 months ago

I feel like optimizing queries is crucial. Reduces load.

Annelle 3 months ago

Definitely! Load balancing helps too. Distributes traffic well.

Louvenia 4 months ago

I think using caching is key. It speeds things up.

Caitlin 5 months ago

I think horizontal scaling is more effective, though.

Sabine 5 months ago

Vertical scaling can be a game changer!

Mireya 5 months ago

Wait, are we sure about that?

Cherry 6 months ago

Totally agree, caching helps a lot too!

Arlie 6 months ago

Load balancing is key for large systems.

Bernardine 6 months ago

Caching and optimization? What is this, amateur hour? Real pros use quantum entanglement for performance!

Sharen 6 months ago

Caching and distributed computing. Scale that system out, baby!

Dalene 6 months ago

Caching and asynchronous processing. Gotta keep that data flowing smoothly!

Rory 7 months ago

Definitely caching and indexing. Those are the two most important practices in my experience.

Sanda 7 months ago

Caching and load balancing are the way to go for optimizing performance on large systems.

Mattie 7 months ago

I’m a bit confused; I thought both redundancy and scalability were key, but I can’t remember which ones to pick.

Ula 7 months ago

I feel like I’ve seen a question like this before, and I think optimizing database queries was mentioned.

Peggy 8 months ago

I remember something about caching strategies being important for performance, maybe that’s one of the answers?

Lucy 8 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.

Rose 8 months ago

Optimizing large systems can be really complex. I'd focus on identifying and addressing the key performance bottlenecks in the system.

Ronnie 8 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.

Virgie 8 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.

Bobbye 9 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?

Marleen 9 months ago

I think caching and load balancing are good strategies for optimizing performance on large systems.

Markus 3 months ago

↳ replying to Marleen

Both strategies can really enhance system performance!

Marisha 3 months ago

↳ replying to Marleen

Load balancing helps distribute traffic effectively.

Fletcher 3 months ago

↳ replying to Marleen

I agree, caching is essential for speed.

CloudBees CJE Exam - Topic 2 Question 119 Discussion