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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?
Suggested Answer: B
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28 comments · newest first
NO
Nobuko
10 months ago
Fastest (application) seems risky for load spikes.
DO
Dominic
10 months ago
I’m surprised this isn’t more straightforward.
TA
Tamar
11 months ago
Wait, isn't Predictive (member) also a good option?
NE
Nelida
11 months ago
Totally agree, it tracks real-time performance!
CH
Cherri
11 months ago
I think the Observed (member) method is the best choice here.
EL
Eloisa
11 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.
GR
Gretchen
12 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.
HA
Haydee
12 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.
VI
Viva
12 months ago
I remember studying load balancing methods, but I'm not entirely sure which one considers response times over a period.
AV
Avery
1 year ago
I'm leaning towards the "Predictive" method. It seems like it would be able to anticipate the changing load and distribute traffic accordingly.
KE
Keena
1 year 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.
MA
Maybelle
1 year 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.
OL
Olive
1 year ago
This seems like a tricky one. I'll need to carefully consider the load balancing requirements and compare them to the options provided.
EL
Elza
1 year ago
I think A) Fastest (application) could be a good option too, as it considers the response time of the application.
AR
Aracelis
1 year ago
I'm not sure, but C) Dynamic (node) could also work in this scenario.
EL
Elouise
1 year ago
I agree with Denae, D) Observed (member) seems like the best choice.
HA
Hana
1 year 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!
RI
Ricarda
1 year ago
B) Predictive (member)
TH
Theron
1 year ago
A) Fastest (application)
ZO
Zoila
1 year ago
Dynamic (node) seems like a good option too. It considers the current load on the node, which could help avoid busy pool members.
LI
Lillian
1 year ago
C) Dynamic (node)
SH
Shay
1 year ago
B) Predictive (member)
AN
Antione
1 year ago
A) Fastest (application)
DE
Denae
1 year ago
I think the answer is D) Observed (member).
CH
Chi
1 year 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.
ZO
Zoila
1 year ago
Dynamic (node) might be a good choice too, as it takes into account the overall health of the node.
NA
Natalie
1 year ago
I think Observed (member) could also work well in this situation, as it considers the member's response over time.
OD
Odette
1 year ago
I agree, Predictive (member) seems like the best option for this scenario.