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Exam AWS Certified Data Analytics - Specialty topic 1 question 153 discussion

Exam question from Amazon's AWS Certified Data Analytics - Specialty
Question #: 153
Topic #: 1
[All AWS Certified Data Analytics - Specialty Questions]

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?

  • A. Archive indices that are older than 3 months by using Index State Management (ISM) to create a policy to store the indices in Amazon S3 Glacier. When the audit team requires the archived data, restore the archived indices back to the Amazon OpenSearch Service (Amazon Elasticsearch Service) cluster.
  • B. Archive indices that are older than 3 months by taking manual snapshots and storing the snapshots in Amazon S3. When the audit team requires the archived data, restore the archived indices back to the Amazon OpenSearch Service (Amazon Elasticsearch Service) cluster.
  • C. Archive indices that are older than 3 months by using Index State Management (ISM) to create a policy to migrate the indices to Amazon OpenSearch Service (Amazon Elasticsearch Service) UltraWarm storage.
  • D. Archive indices that are older than 3 months by using Index State Management (ISM) to create a policy to migrate the indices to Amazon OpenSearch Service (Amazon Elasticsearch Service) UltraWarm storage. When the audit team requires the older data, migrate the indices in UltraWarm storage back to hot storage.
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Suggested Answer: C 🗳️
by rb39 at April 21, 2022, 12:20 p.m.
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CHRIS12722222
Highly Voted 3 years ago
C is okay. No need to return back to hot storage https://docs.aws.amazon.com/opensearch-service/latest/developerguide/ultrawarm.html "UltraWarm nodes use Amazon S3 and a sophisticated caching solution to improve performance. For indexes that you are not actively writing to, query less frequently, and don't need the same performance from, UltraWarm offers significantly lower costs per GiB of data. Because warm indexes are read-only unless you return them to hot storage, UltraWarm is best-suited to immutable data, such as logs. In OpenSearch, warm indexes behave just like any other index. You can query them using the same APIs or use them to create visualizations in OpenSearch Dashboards."
upvoted 6 times
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astalavista1
Highly Voted 3 years ago
Selected Answer: C
C - As ISM can move it from Hot to Ultrawarm and uses S3 in the background for Storage(hence not A to reduce operational overhead), you don't need to move it back to Hot as it is used by the Audit team for auditing meaning only read hence the reason it's not D.
upvoted 5 times
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pk349
Most Recent 2 years ago
C: I passed the test
upvoted 4 times
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rocky48
2 years, 9 months ago
Selected Answer: C
Selected Answer: C
upvoted 2 times
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rb39
3 years ago
Selected Answer: C
C - data is always available in ultra warm storage, just queries are slower, which matches the statement requirements
upvoted 2 times
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