Q16 — AWS SAP-C02 Ch.2

Question 16 of 75 | ← Chapter 2

Q166. A company is using Amazon OpenSearch Service to analyze data. The company loads data into an OpenSearch Service cluster with 10 data nodes from an Amazon S3 bucket that uses S3 Standard storage.The data resides in the cluster for 1 month for read. only analysis. After 1 month, the company deletes the index that contains the data from the cluster.For compliance purposes, the company must retain a copy of all input data. The company is concerned about ongoing costs and asks a solutions architect to recommend a new solution.Which solution will meet these requirements MOST cost-effectively?

• A. Replace all the data nodes with UltraWarm nodes to handle the expected capacity. Transition the input data from S3 Standard to S3 Glacier Deep Archive when the company loads the data into the cluster
• B. Reduce the number of data nodes in the cluster to 2. Add UltraWarm nodes to handle the expected capacity. Configure the indexes to transition to UltraWarm when OpenSearch Service ingests the data.Transition the input data to S3 Glacier Deep Archive after 1 month by using an S3 Lifecycle policy ✓
• C. Reduce the number of data nodes in the cluster to 2. Add UltraWarm nodes to handle the expected capacity. Configure the indexes to transition to UltraWarm when OpenSearch Service ingests the data.Add cold storage nodes to the cluster. Transition the indexes from UltraWarm to cold storage. Delete the input data from the S3 bucket after 1 month by using an S3 Lifecycle policy
• D. Reduce the number of data nodes in the cluster to 2. Add instance-backed data nodes to handle the expected capacity. Transition the input data from S3 Standard to S3 Glacier Deep Archive when the company loads the data into the cluster

Correct Answer: B. Reduce the number of data nodes in the cluster to 2. Add UltraWarm nodes to handle the expected capacity. Configure the indexes to transition to UltraWarm when OpenSearch Service ingests the data.Transition the input data to S3 Glacier Deep Archive after 1 month by using an S3 Lifecycle policy

Explanation

C中要求是1个月后直接删除S3中的数据。但是题干中要求是为了合规性，所有的数据必须保留。。所以这个 删除肯定是不合理的。我认为是选B。 将S3中的数据由standard 转为 S3 Glacier Deep Archive.B is the most cost-effective solution as it reduces the number of data nodes in the cluster to 2 and adds UltraWarm nodes to handle the expected capacity. By configuring the indexes to transition to UltraWarm when OpenSearch Service ingests the data, the company can take advantage of the lower storage costs of UltraWarm. Additionally, by transitioning the input data to S3 Glacier Deep Archive after 1 month using an S3 Lifecycle policy, the company can further reduce costs by using the lower storage costs of S3 Glacier Deep Archive for long-term data retention.Option C can meet the requirements of reducing the number of data nodes in the cluster and using UltraWarm and cold storage nodes to handle the expected capacity and moving the data to lower cost storage after 1 month. However, it may not be the most cost-effective solution as it involves additional complexity in configuring the indexes to transition between different storage tiers, and may also require additional management and maintenance of the cold storage nodes. Option B, where the data is transitioned from S3 Standard to S3 Glacier Deep Archive using an S3 Lifecycle policy is simpler and more cost-effective as it eliminates the need for additional storage tiers and management.B方案将集群中的数据节点数量减少到2个，增加UltraWarm节点来处理预期的容量，是性价比最高的方案。当OpenSearch Service接收数据时，通过配置索引转换到UltraWarm，该公司可以利用UltraWarm较低的存储成本。此外，通过使用S3生命周期策略在1个月后将输入数据转换到S3 Glacier Deep Archive，公司可以通过使用S3 Glacier Deep Archive的较低存储成本来实现长期数据保留，从而进一步降低成本。方案C可以满足减少集群数据节点数量，使用UltraWarm和冷存储节点处理预期容量，1个月后将数据转移到成本更低的存储。但是，它可能不是最具成本效益的解决方案，因为它涉及在不同存储层之间转换的索引配置的额外复杂性，并且可能还需要对冷存储节点进行额外的管理和维护。选项B(使用S3生命周期策略将数据从S3 Standard转换到S3 Glacier Deep Archive)更简单、更经济，因为它不需要额外的存储层和管理。