1Z0-1067-25 Question 120
Select 2You run a microservices application on Oracle Container Engine for Kubernetes (OKE) in OCI. Your operations team wants to consolidate and analyze OKE workload logs in OCI Logging Analytics for deeper insights. Which TWO steps must you perform to implement this observability requirement?
- A
Define a Service Connector with OCI Logging as the source and Logging Analytics as the target, ensuring required IAM policies are in place.
- B
Install the OCI Logging Analytics Agent on every OKE worker node to push log data directly into Logging Analytics.
- C
Create an IAM policy that grants the Service Connector permission to read logs from OKE and write logs to the Logging Analytics compartment.
- D
Create a custom metric in OCI Monitoring for each log entry and configure a metric alarm to send data to Logging Analytics.
Show answer and explanation
Correct answers: A, C
Explanation
To implement observability for OKE logs in Oracle Cloud Infrastructure, you typically configure a Service Connector that retrieves logs from OCI Logging and ingests them into Logging Analytics for advanced analysis. You also need an IAM policy granting the Service Connector the appropriate read and write permissions. For more details, refer to the Oracle Cloud Infrastructure Logging and Logging Analytics documentation.
- A. Correct.
Option 1 is correct. You must configure a Service Connector that uses OCI Logging (where OKE logs reside) as the source and Logging Analytics as the target, with appropriate IAM permissions. This allows logs to flow automatically from OKE to Logging Analytics.
- B. Incorrect.
Option 2 is incorrect. Although the Logging Analytics Agent is useful for VM-based or on-premise systems, OKE logs can be forwarded natively through OCI Logging without necessarily installing the agent on each worker node. Agent installation is not mandatory.
- C. Correct.
Option 3 is correct. The Service Connector requires IAM policies to read logs from one compartment and write them to Logging Analytics. This ensures it has the necessary privileges to transport log data between services.
- D. Incorrect.
Option 4 is incorrect. Creating custom metrics for every log record is not an efficient or recommended way to route logs. Metrics and Logging Analytics serve different purposes. Logging Analytics is for log search and analytics, whereas Monitoring metrics are numeric data for threshold-based surveillance.