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F5 Networks 301a Exam - Topic 2 Question 113 Discussion

Actual exam question for F5 Networks's 301a exam
Question #: 113
Topic #: 2
[All 301a Questions]

An organization's development team creates an application to put behind the F5 LTM device. The application can be quite load intensive at first, and then evens out over time. The team's load balancing method needs to select a pool after taking into account the pool member's response over the time to avoid landing on a busy pool member.

Which of the following load balancing methods meets this requirement?

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Suggested Answer: B

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Nobuko
2 months ago
Fastest (application) seems risky for load spikes.
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Dominic
2 months ago
I’m surprised this isn’t more straightforward.
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Tamar
3 months ago
Wait, isn't Predictive (member) also a good option?
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Nelida
3 months ago
Totally agree, it tracks real-time performance!
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Cherri
3 months ago
I think the Observed (member) method is the best choice here.
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Eloisa
3 months ago
I’m leaning towards "Fastest (application)" because it focuses on immediate response, but I know that might not help with busy members over time.
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Gretchen
4 months ago
I practiced a similar question where we had to choose based on response times. I feel like "Predictive (member)" could also be relevant, but it might not account for real-time data.
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Haydee
4 months ago
I think the "Observed (member)" method might be the right choice since it looks at actual performance data, but I could be mixing it up with another method.
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Viva
4 months ago
I remember studying load balancing methods, but I'm not entirely sure which one considers response times over a period.
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Avery
4 months ago
I'm leaning towards the "Predictive" method. It seems like it would be able to anticipate the changing load and distribute traffic accordingly.
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Keena
4 months ago
Okay, let's see. The "Fastest" option sounds promising, but I'm not sure if it fully accounts for the response time over time. I'll have to think this through.
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Maybelle
5 months ago
Hmm, the question mentions the application being load intensive at first, then evening out. I think the key is finding a method that can adapt to those changing conditions.
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Olive
5 months ago
This seems like a tricky one. I'll need to carefully consider the load balancing requirements and compare them to the options provided.
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Elza
7 months ago
I think A) Fastest (application) could be a good option too, as it considers the response time of the application.
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Aracelis
7 months ago
I'm not sure, but C) Dynamic (node) could also work in this scenario.
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Elouise
7 months ago
I agree with Denae, D) Observed (member) seems like the best choice.
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Hana
7 months ago
Haha, I'm just imagining the developers trying to explain this to the non-tech folks. 'So, we need a load balancing method that can handle the highs and lows of our application's demands.' Good luck with that!
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Ricarda
7 months ago
B) Predictive (member)
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Theron
7 months ago
A) Fastest (application)
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Zoila
8 months ago
Dynamic (node) seems like a good option too. It considers the current load on the node, which could help avoid busy pool members.
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Lillian
7 months ago
C) Dynamic (node)
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Shay
7 months ago
B) Predictive (member)
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Antione
7 months ago
A) Fastest (application)
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Denae
8 months ago
I think the answer is D) Observed (member).
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Chi
8 months ago
I think Predictive (member) is the way to go. It takes into account the member's response over time, which sounds like exactly what the team needs.
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Zoila
7 months ago
Dynamic (node) might be a good choice too, as it takes into account the overall health of the node.
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Natalie
7 months ago
I think Observed (member) could also work well in this situation, as it considers the member's response over time.
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Odette
8 months ago
I agree, Predictive (member) seems like the best option for this scenario.
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