Salesforce Certified Heroku Architect (Plat-Arch-206) Exam - Topic 5 Question 70 Discussion

Actual exam question for Salesforce's Salesforce Certified Heroku Architect (Plat-Arch-206) exam

Question #: 70
Topic #: 5

[All Salesforce Certified Heroku Architect (Plat-Arch-206) Questions]

A client is running an app on 20 Standard-2x dynos. They are noticing highly variable performance when the application is experiencing a heavy load.

Which two suggestions should an Architect make in this scenario? (Choose two.)

DAdd additional Standard-2x dynos.

BConfigure the app to use Performance dynos.

AConfigure the app to use Standard-lx dynos.

CInstall a performance monitoring tool.

Show Suggested Answer

Suggested Answer: D, B

by Elin at Jan 24, 2026, 07:25 PM

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Noemi

3 days ago

Haha, just throw more servers at it! That always works, right?

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Gail

8 days ago

Upgrade to larger instance types for better performance.

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Bulah

13 days ago

Optimize the app's code to reduce resource consumption.

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Thurman

19 days ago

Increase the number of dynos to handle the heavy load.

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Ahmad

24 days ago

Could it be worth looking into optimizing the app's code? I feel like performance issues often stem from inefficient code, but I can't recall specific strategies.

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Ty

29 days ago

I remember a practice question about load balancing; perhaps suggesting a load balancer could help distribute traffic more evenly?

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Leatha

2 months ago

I'm not entirely sure, but maybe implementing caching could help reduce the load on the dynos during peak times?

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Carline

2 months ago

I think one suggestion could be to scale up the dynos or switch to a different dyno type for better performance under load.

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Okay, this looks straightforward. Scaling the dynos and load balancing are the two key things I'd recommend to the client. I'd also want to gather more information about the specific performance issues they're seeing.

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Catarina

2 months ago

Alright, I think I've got a handle on this. Scaling the dynos and load balancing are definitely the way to go. I'd also recommend profiling the application to identify any performance issues that could be causing the variability.

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Delsie

2 months ago

I'm a bit unsure about this one. Scaling the dynos and load balancing seem like reasonable suggestions, but I'm not sure if there are other factors I should be considering as well.

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Daren

3 months ago

Okay, let's see. Scaling the dynos and load balancing are good options. I'd also want to investigate the application code and infrastructure to see if there are any bottlenecks or inefficiencies we can address.

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Zona

3 months ago

Hmm, this seems like a tricky one. I'd want to look into scaling the dynos up or down based on load, and maybe consider using a load balancer to distribute the traffic more evenly.

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