Alibaba Exam ACA-CloudNative Topic 7 Question 77 Discussion

Actual exam question for Alibaba's ACA-CloudNative exam

Question #: 77
Topic #: 7

How do you calculate a Kubernetes cluster's consistent resource capacity?

Score 2

AMicroservice amount * Instance type (e.g. 2C/4G)

BMicroservice amount * Average instance amount * Instance type (e.g. 2C/4G)

CMicroservice amount * Average instance amount * Instance type (e.g. 2C/4G) * Redundancy

DMicroservice amount * Average instance amount * Instance type (e.g. 2C/4G) * Redundancy +
Autoscale nodes instance type

Show Suggested Answer

Suggested Answer: A, B, C, D

by James at Nov 21, 2023, 09:09 AM

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Altha

2 months ago

Option C is the way to go. It's like calculating the perfect recipe for a Kubernetes stew - you need the right ingredients in the right proportions.

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Gene

4 days ago

Adding autoscale nodes instance type can help ensure consistent capacity for the cluster.

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Sena

20 days ago

Definitely, it's important to consider redundancy when calculating resource capacity.

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Marti

26 days ago

Option C is the way to go. It's like calculating the perfect recipe for a Kubernetes stew - you need the right ingredients in the right proportions.

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Art

2 months ago

If I choose Option A, my cluster will be as consistent as my coding skills - not very consistent at all!

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Yvonne

18 days ago

I would go with Option C to ensure the cluster has the necessary redundancy for consistent capacity.

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Yvonne

20 days ago

You're right, Option A might not be the best choice for calculating consistent resource capacity.

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Yvonne

1 months ago

Option A doesn't take into account the redundancy needed for consistent capacity.

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Anika

2 months ago

Option B seems too simplistic. Kubernetes clusters need to account for redundancy and autoscaling to handle workload changes.

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Josue

20 days ago

D) Microservice amount * Average instance amount * Instance type (e.g. 2C/4G) * Redundancy + Autoscale nodes instance type

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Miesha

24 days ago

C) Microservice amount * Average instance amount * Instance type (e.g. 2C/4G) * Redundancy

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Georgiann

26 days ago

B) Microservice amount * Average instance amount * Instance type (e.g. 2C/4G)

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Rosalyn

1 months ago

A) Microservice amount * Instance type (e.g. 2C/4G)

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Shenika

2 months ago

I'm going with Option D. Autoscaling is important for maintaining consistent resource capacity in a Kubernetes cluster.

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Lavonne

2 months ago

But what about autoscaling nodes instance type in option D? That could affect the capacity calculation

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Gaston

2 months ago

Option C looks like the right answer, it takes into account the microservice amount, average instance amount, instance type, and redundancy.

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Louvenia

1 months ago

Definitely, it gives a more accurate representation of the cluster's capacity.

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Annelle

1 months ago

I agree, it's important to consider all those variables.

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Leonie

2 months ago

Yeah, it covers all the important factors for calculating resource capacity.

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Joanna

2 months ago

I think option C is the best choice.

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Ashton

3 months ago

I disagree, I believe it's C) Microservice amount * Average instance amount * Instance type * Redundancy

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Lavonne

3 months ago

I think the answer is B) Microservice amount * Average instance amount * Instance type

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