You want to optimize the cost of your Cognitive Search Service in Azure.
Review the parameter below and choose the most appropriate service for your five indexers that run for maximum of four hours: Run smaller scale production workload Ready to share infrastructure with others Require maximum search units as three Require maximum partition size as 2GB Require maximum replicas as three.
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer: C.
Option A is incorrect because Free tier is not meant for production workloads.
The indexer runtime should not exceed 3 minutes.
It only supports a max of 3 indexers.
Option B is incorrect because L1 tier is meant for storage optimized scenarios.
They use desiccated machines and hence cost more.
Since the objective here is to optimize the cost, L1 tier is not the correct choice.
Option C is correct because the Basic tier can be used to run smaller Production workloads that do not require dedicated machines and storage.
They can support 5 or 15 indexers with a max partition size of 2GB and max 3 replicas.
It supports one partition per service and offers a max of three search units.
Option D is incorrect because S1 tier is used when the processing resource requirements are high and that is achieved through the dedicated hardware.
They offer a max of 36 search units.
Since the objective here is to optimize the cost, S1 tier is not the correct choice.
Reference:
To learn more about service limits in Azure Cognitive Search, use the link given below:
Based on the given parameters, the most appropriate service for optimizing the cost of the Cognitive Search Service in Azure would be the Basic tier.
Here's why:
Run smaller scale production workload: The Basic tier is designed to handle smaller-scale production workloads, which makes it an ideal option for this use case.
Ready to share infrastructure with others: The Basic tier allows you to share infrastructure with other customers, which can help reduce the cost of the service.
Require maximum search units as three: The Basic tier allows you to scale up to three search units, which is sufficient for this use case.
Require maximum partition size as 2GB: The Basic tier allows for a maximum partition size of 2GB, which meets the requirement.
Require maximum replicas as three: The Basic tier allows for a maximum of three replicas, which meets the requirement.
The Free tier is not recommended as it has limitations on the number of documents that can be indexed, and it doesn't support multiple indexes.
The L1 tier is more suitable for larger workloads, and it requires a higher level of service, which may not be necessary for this use case.
The S1 tier is a more expensive option and offers features that are not required for this use case.
Therefore, based on the given parameters, the Basic tier would be the most appropriate and cost-effective option for optimizing the Cognitive Search Service in Azure.