1Z0-1067 · Question #4
You have created several block volumes in the us-phoenix-1 region in a specific compartment. The compartment can be identified by the following Oracle Cloud Infrastructure (OCI) unique identifier…
The correct answer is C. IopsRead[lm]{compartmentId="ocidl.compartment.ocl.phx..exampleuniquelD"}.grouplng().max(). Example, the following query returns the maximum (max()) IopsRead metric data at a one-minute interval, filtered to a compartment, with all results aggregated. IopsRead[1m]{compartmentID = "<compartment_OCID>"}.grouping().max()…
Question
You have created several block volumes in the us-phoenix-1 region in a specific compartment. The compartment can be identified by the following Oracle Cloud Infrastructure (OCI) unique identifier, or ocid1.compartment.oc1.phx..exampleuniquelD Your manager has asked you to leverage the OCI monitoring service and write a metric query showing all read IOPS at a one-minute interval, filtered to this compartment and aggregated for the maximum. Which metric query will you create?
Options
- AIopsWrite[lm]{compartmentId=Hocidl.compartment.ocl.phx..exampleuniquelD"}.mean()
- BIopsRead[lm]{compartmentId="ocldl.compartment.ocl.phx..exampleuniquelD"}.max()
- CIopsRead[lm]{compartmentId="ocidl.compartment.ocl.phx..exampleuniquelD"}.grouplng().max()
- DIopsRead[lm]{compartmentId = "odd 1.compartment.ocl.phx..exampleuniquelD"}.grouping().mean()
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Explanation
Example, the following query returns the maximum (max()) IopsRead metric data at a one-minute interval, filtered to a compartment, with all results aggregated. IopsRead[1m]{compartmentID = "<compartment_OCID>"}.grouping().max() https://docs.cloud.oracle.com/en-us/iaas/Content/Monitoring/Tasks/buildingqueries.htm
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