AWS Certified Solutions Architect Professional SAP-C02 Practice Question
A company is using a third-party observability tool to collect memory utilization metrics from its Amazon EC2 instances. A solutions architect wants to configure AWS Compute Optimizer to ingest this external memory data to receive more accurate rightsizing recommendations. The architect successfully enables external metrics ingestion for the AWS account. While memory data appears for standalone EC2 instances, it is consistently absent for any instances that are part of an Amazon EC2 Auto Scaling group. What is the reason for this behavior?
The third-party tool sends metrics at 1-minute intervals, but Compute Optimizer requires 5-second granularity for Auto Scaling groups.
Compute Optimizer requires a 93-day history of memory data before it can be displayed for Auto Scaling group instances.
Enhanced infrastructure metrics must be activated for the Auto Scaling group before external memory data can be processed.
External metrics ingestion is not supported for EC2 instances that are part of an Auto Scaling group.
AWS Compute Optimizer's external metrics ingestion feature allows it to use memory utilization data from supported third-party tools like Datadog, Dynatrace, Instana, and New Relic. However, according to AWS documentation, this capability is explicitly not supported for EC2 instances that are managed by an Auto Scaling group. For those instances, Compute Optimizer relies on its standard analysis of CloudWatch metrics (like CPU, network, and disk) and ignores the external memory data. The other options are incorrect. Enhanced infrastructure metrics are related to extending the look-back period, not enabling external data ingestion. Compute Optimizer does not require 5-second granularity; it typically analyzes metrics at 1-minute or 5-minute intervals. Finally, recommendations require a minimum of 30 consecutive hours of data, not 93 days, to begin generating.
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