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| Topic |
Details |
| Topic 1 |
- Monitor Distributed Components of an Application Stack: This section measures the skills of Stack Monitoring Specialists and Cloud Administrators in using OCI Stack Monitoring. It covers discovering resources within application stacks, monitoring metrics across distributed components, and ensuring optimal performance through effective resource management.
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| Topic 2 |
- Distinguish the Key Concepts of Logging Analytics: This section evaluates the expertise of Data Analysts and Troubleshooting Specialists in using OCI Logging Analytics. It covers log ingestion methods, searching and filtering logs, performing advanced analytics, and leveraging machine learning-powered insights for proactive issue resolution.
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| Topic 3 |
- Summarize OCI Observability and Management Services: This section evaluates the expertise of DevOps Engineers and IT Operations Managers in utilizing Oracle Cloud Infrastructure (OCI) Observability and Management services. It covers tools for monitoring, auditing, and managing cloud resources, emphasizing automation and machine learning-driven insights to optimize IT operations.
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| Topic 4 |
- Respond to Cloud Resource Changes in Real-Time: This domain measures the skills of Event Managers and Integration Specialists in using OCI Events Service. It covers event structures, types, rules, and integration with other OCI services to respond effectively to resource changes and automate workflows.
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| Topic 5 |
- Centrally Manage and Visualize Log Data: This section assesses the abilities of Logging Analysts and Security Engineers in managing logs across an entire IT environment. It includes enabling log collection, creating connectors for log transitions, identifying log patterns, and visualizing logs for advanced analytics using OCI Logging Service.
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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q13-Q18):
NEW QUESTION # 13
What are the two capabilities available in Operations Insights? (Choose two.)
- A. Entity Topology Viewing
- B. Capacity Planning
- C. Exadata Insights
- D. Database Fleet Monitoring
Answer: B,C
Explanation:
Operations Insights provides:
Capacity Planning (A): Forecasts resource needs based on historical trends and scenarios.
Exadata Insights (D): Analyzes Exadata system performance and capacity.
Why not B or C?
Database Fleet Monitoring (B): A goal, not a named capability; covered under broader features.
Entity Topology Viewing (C): More aligned with Stack Monitoring, not Operations Insights.
These capabilities optimize resource management.
NEW QUESTION # 14
In Application Performance Monitoring (APM), where is the span context information located during transfer?
- A. In HTTP call
- B. In HTTP header
- C. In the browser and the microservices
- D. In the service boundaries
Answer: B
Explanation:
In OCI APM, span context (e.g., Trace ID, Span ID) is propagated across services to track requests.
In HTTP header (B): Span context is embedded in HTTP headers (e.g., X-B3-TraceId) during transfer between services. This allows APM to correlate spans across distributed systems for a single user request.
Why not A, C, or D?
Service boundaries (A): This is a conceptual term, not a location for data.
HTTP call (C): Too vague-"HTTP call" isn't a specific storage location.
Browser and microservices (D): Context originates here but is transferred via headers, not stored locally during transit.
This follows the OpenTracing standard used by OCI APM.
NEW QUESTION # 15
You are working on a project to automate the deployment of Oracle Cloud Infrastructure (OCI) compute instances that are pre-configured with web services. As part of the deployment workflow, you also need to create a corresponding OCI object storage bucket bearing the same name as that of the compute instance. Which of these two options can help you achieve this requirement? (Choose two.)
- A. Service Connector Hub
- B. Events Service
- C. Oracle Functions
- D. OCI CLI command, oci os bucket create auto
- E. Cloud Agent Plugin for the compute instance
Answer: A,C
Explanation:
To automate the creation of an OCI Object Storage bucket with the same name as a compute instance during deployment, you need a mechanism to detect the instance creation event and trigger an action to create the bucket. Two OCI services that can achieve this are Service Connector Hub and Oracle Functions, used in conjunction with the Events Service.
Service Connector Hub (B): This service acts as a cloud message bus that facilitates data movement between OCI services. You can configure a service connector with the Events Service as the source (to detect compute instance creation events, e.g., com.oraclecloud.computeapi.launchinstance.end) and Oracle Functions as the target. The service connector filters and routes the event to trigger a function.
Oracle Functions (C): This is a serverless platform that allows you to write and execute code in response to events. You can create a function that retrieves the compute instance name from the event payload and uses the OCI SDK or API to create an Object Storage bucket with the same name.
Why not A, D, or E alone?
Cloud Agent Plugin (A): This is used for monitoring and managing compute instances but does not directly support bucket creation automation.
OCI CLI command (D): The command oci os bucket create auto is not a valid OCI CLI command (oci os bucket create is valid but requires manual invocation or scripting, not event-driven automation).
Events Service (E): While critical for detecting instance creation, it alone cannot execute the logic to create a bucket-it needs a target like Functions or Notifications.
This solution leverages the event-driven architecture of OCI, combining Events Service (implicitly used with Service Connector Hub) and Oracle Functions for execution.
NEW QUESTION # 16
Which Management Agent group allows the agent to upload data to the discovery service?
- A. StackMonitoringViewerGrp
- B. AgentUsersGrp
- C. StackMonitoringAdminGrp
- D. Mgmt_agent_dynamic_group
Answer: B
Explanation:
Management Agents require group membership and policies to interact with OCI services:
AgentUsersGrp (A): A predefined dynamic group for all Management Agents in a tenancy. With an attached policy granting upload permissions (e.g., allow dynamic-group AgentUsersGrp to use discovery-service-family in tenancy), agents can send data to the discovery service for resource detection.
Why not B, C, or D?
B and C: Specific to Stack Monitoring roles, not general agent uploads.
D: A generic name, not a predefined OCI group.
AgentUsersGrp is the standard for this purpose.
NEW QUESTION # 17
Which of the following is not a key interaction element in the Log Explorer UI of Logging Analytics?
- A. Scope Filter
- B. Dashboard
- C. Time Picker
- D. Fields Panel
Answer: B
Explanation:
The Log Explorer UI in OCI Logging Analytics includes four key interaction elements: Fields Panel, Time Picker, Scope Filter, and Results Panel. These allow users to search, filter, and analyze logs interactively.
Dashboard (D): This is not part of the Log Explorer UI. Dashboards are separate visualizations in Logging Analytics for summarizing data, not an interactive element of the Log Explorer.
Why A, B, and C are key elements:
Fields Panel (A): Displays log fields for filtering and analysis.
Time Picker (B): Sets the time range for log queries.
Scope Filter (C): Defines the scope (e.g., compartments, log groups) of the log search.
NEW QUESTION # 18
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