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Lists the test recommendations for the Resilience Hub application

Description

Lists the test recommendations for the Resilience Hub application.

Usage

resiliencehub_list_test_recommendations(assessmentArn, maxResults,
  nextToken)

Arguments

  • assessmentArn

    [required] Amazon Resource Name (ARN) of the assessment. The format for this ARN is: arn:partition:resiliencehub:region:account:app-assessment/app-id. For more information about ARNs, see Amazon Resource Names (ARNs) in the Amazon Web Services General Reference guide.

  • maxResults

    Maximum number of results to include in the response. If more results exist than the specified MaxResults value, a token is included in the response so that the remaining results can be retrieved.

  • nextToken

    Null, or the token from a previous call to get the next set of results.

Value

A list with the following syntax:

list(
  nextToken = "string",
  testRecommendations = list(
    list(
      appComponentId = "string",
      appComponentName = "string",
      dependsOnAlarms = list(
        "string"
      ),
      description = "string",
      intent = "string",
      items = list(
        list(
          alreadyImplemented = TRUE|FALSE,
          discoveredAlarm = list(
            alarmArn = "string",
            source = "string"
          ),
          excludeReason = "AlreadyImplemented"|"NotRelevant"|"ComplexityOfImplementation",
          excluded = TRUE|FALSE,
          latestDiscoveredExperiment = list(
            experimentArn = "string",
            experimentTemplateId = "string"
          ),
          resourceId = "string",
          targetAccountId = "string",
          targetRegion = "string"
        )
      ),
      name = "string",
      prerequisite = "string",
      recommendationId = "string",
      recommendationStatus = "Implemented"|"Inactive"|"NotImplemented"|"Excluded",
      referenceId = "string",
      risk = "Small"|"Medium"|"High",
      type = "Software"|"Hardware"|"AZ"|"Region"
    )
  )
)

Request syntax

svc$list_test_recommendations(
  assessmentArn = "string",
  maxResults = 123,
  nextToken = "string"
)