DAS-C01 · Question #145
A retail company stores order invoices in an Amazon OpenSearch Service (Amazon Elasticsearch Service) cluster Indices on the cluster are created monthly. Once a new month begins, no new writes are…
The correct answer is C. Archive indices that are older than 3 months by using Index State Management (ISM) to create a. The requirement is to keep the most recent 3 months of data quickly accessible while reducing storage costs for older, infrequently accessed data - and to do so with minimal operational overhead. Option C uses Index State Management (ISM) to automatically transition indices…
Question
A retail company stores order invoices in an Amazon OpenSearch Service (Amazon Elasticsearch Service) cluster Indices on the cluster are created monthly. Once a new month begins, no new writes are made to any of the indices from the previous months. The company has been expanding the storage on the Amazon OpenSearch Service (Amazon Elasticsearch Service) cluster to avoid running out of space, but the company wants to reduce costs Most searches on the cluster are on the most recent 3 months of data while the audit team requires infrequent access to older data to generate periodic reports. The most recent 3 months of data must be quickly available for queries, but the audit team can tolerate slower queries if the solution saves on cluster costs. Which of the following is the MOST operationally efficient solution to meet these requirements?
Options
- AArchive indices that are older than 3 months by using Index State Management (ISM) to create a
- BArchive indices that are older than 3 months by taking manual snapshots and storing the
- CArchive indices that are older than 3 months by using Index State Management (ISM) to create a
- DArchive indices that are older than 3 months by using Index State Management (ISM) to create a
How the community answered
(25 responses)- A4% (1)
- B12% (3)
- C76% (19)
- D8% (2)
Explanation
The requirement is to keep the most recent 3 months of data quickly accessible while reducing storage costs for older, infrequently accessed data - and to do so with minimal operational overhead. Option C uses Index State Management (ISM) to automatically transition indices older than 3 months to UltraWarm storage in Amazon OpenSearch Service. UltraWarm uses Amazon S3 backed by a caching layer, dramatically reducing storage costs compared to hot nodes, while still keeping indices queryable (at a slower speed the audit team can tolerate). ISM automates the lifecycle policy so no manual intervention is needed. Option B (manual snapshots) requires manual effort to restore data before querying - high operational burden. Options A and D likely describe suboptimal transitions (e.g., deleting data or using cold storage without the right tradeoffs). ISM with UltraWarm is the most operationally efficient and cost-effective approach for this access pattern.
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