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Splunk SPLK-2002 Exam - Topic 9 Question 75 Discussion

Actual exam question for Splunk's SPLK-2002 exam
Question #: 75
Topic #: 9
[All SPLK-2002 Questions]

A Splunk deployment is being architected and the customer will be using Splunk Enterprise Security (ES) and Splunk IT Service Intelligence (ITSI). Through data onboarding and sizing, it is determined that over 200 discrete KPIs will be tracked by ITSI and 1TB of data per day by ES. What topology ensures a scalable and performant deployment?

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Suggested Answer: A, C

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Corinne
3 months ago
C could work, but I’d still prefer B for future growth.
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An
3 months ago
Definitely not A, that would bottleneck performance.
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Tina
4 months ago
Wait, can one cluster really manage both ITSI and ES effectively?
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Luz
4 months ago
I agree, two search head clusters can handle the load better!
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Denae
4 months ago
Option B seems like the best choice for scalability.
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Nana
4 months ago
I’m a bit confused about the differences between clusters and single search heads. I thought option A could work, but now I’m leaning towards option C after reviewing the requirements.
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Allene
4 months ago
I practiced a similar question, and I think having separate clusters for ITSI and ES could help with managing the KPIs better. So, option B seems reasonable.
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Francine
4 months ago
I'm not entirely sure, but I feel like having a single search head cluster for both ITSI and ES could lead to performance issues. Maybe option C isn't ideal?
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Juliann
5 months ago
I remember we discussed the importance of scalability, especially with such a high volume of data. I think option B might be the best choice.
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Whitney
5 months ago
I'm leaning towards option B - two search head clusters, one for ITSI and one for ES. That way, each component can be scaled and optimized independently to handle the respective workloads. Trying to cram both ITSI and ES onto a single search head cluster might not be the best approach given the scale.
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Sol
5 months ago
Okay, let's see. With over 200 KPIs for ITSI and 1TB of data per day for ES, that's a significant amount of data and workload. I'm thinking a single search head might not be able to handle that, so a search head cluster is probably the way to go.
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Lauran
5 months ago
Hmm, I'm a bit unsure about this one. The question is asking about the overall topology, but it's also mentioning specific details like the number of KPIs and data volume. I'll need to think through how those factors impact the architecture.
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Carissa
5 months ago
This looks like a pretty straightforward Splunk architecture question. I think the key is to consider the scale and performance requirements mentioned in the prompt.
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Carman
5 months ago
Okay, I've got this. The question is asking for a solution to run containerized apps without installing them on the session hosts. That means we need a way to package and deploy the apps in a containerized format. MSIX app packages seem like the logical choice here.
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Titus
5 months ago
I remember studying about encryption for protecting sensitive data, it seems like the most secure method we discussed.
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Malcom
5 months ago
This seems like a straightforward question about data privacy and security. I'll carefully read through the options and think about which one best fits the description of improper PII disclosure.
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Ciara
10 months ago
Clearly option C is the way to go. I mean, who needs performance or scalability when you can just cram everything onto one search head cluster? It'll be fine, right? *nervous laughter*
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Hyman
9 months ago
Yeah, option C seems risky. It's better to separate the workloads to ensure a more stable and efficient deployment.
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Kenia
9 months ago
I agree, having dedicated search head clusters for each application will prevent any performance issues that may arise from overloading a single search head.
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Derrick
9 months ago
I think option B is the best choice. Having separate search head clusters for ITSI and ES will ensure better performance and scalability.
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Kate
10 months ago
I'm with Alfred on this one. Two search head clusters is the way to go. It's the only option that ensures you can scale and handle the data load without everything grinding to a halt.
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Nadine
8 months ago
Yeah, I think splitting up the search head clusters is the way to go to ensure everything runs smoothly with that amount of data.
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Daryl
8 months ago
I think having separate search head clusters for ITSI and ES makes the most sense in terms of scalability and performance.
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Danilo
9 months ago
I agree with you, having two search head clusters is definitely the best option for this scenario.
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Peggy
10 months ago
Oh man, option D is just begging for trouble. One search head handling both ITSI and ES? That's like trying to fit an elephant and a giraffe in a Smart car. Not happening!
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Alfred
10 months ago
Two search head clusters, one for each, is definitely the way to go. You don't want to risk overloading a single search head with that kind of data volume. Separating them is the smart move.
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Christiane
9 months ago
Two search head clusters, one for each, is definitely the way to go.
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Margret
9 months ago
B) Two search head clusters, one for ITSI and one for ES.
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Vilma
9 months ago
A) Two search heads, one for ITSI and one for ES.
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Frederica
10 months ago
Choosing a single search head with both ITSI and ES installed seems like a recipe for disaster with that much data. I'd go with option B to keep them separated for better scalability and performance.
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Millie
10 months ago
Yeah, it's important to keep them separated to avoid any performance issues with that much data being processed.
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Stanford
10 months ago
I agree, having separate search head clusters for ITSI and ES would definitely help with scalability.
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Queen
11 months ago
I disagree, I believe option C is more efficient as it allows for easier management of both ITSI and ES on a single search head cluster.
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Nelida
11 months ago
I agree with Ty, having separate search head clusters for ITSI and ES makes sense for scalability.
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Ty
11 months ago
I think option B is the best choice.
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