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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Logging and Log Analytics | 25% | - Logging Analytics: ingestion, parsing, and analytics - OCI Logging service and log management |
| Topic 2: OCI Monitoring and Metrics | 30% | - Metric queries, dashboards, and visualization - Monitoring service concepts and metrics collection |
| Topic 3: Alarms and Notifications | 25% | - Notifications service and integration patterns - Alarm configuration, thresholds, and status |
| Topic 4: Application Performance Monitoring and Distributed Tracing | 20% | - Distributed tracing, diagnostics, and troubleshooting - APM setup, instrumentation, and end-user monitoring |
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NEW QUESTION # 11
Which two features are provided by Application Performance Monitoring? (Choose two.)
Answer: B,C
Explanation:
OCI Application Performance Monitoring (APM) provides tools to monitor application performance:
* Distributed Tracing (A): Tracks requests across microservices, showing latency and dependencies via traces and spans.
* Real User Monitoring (C): Captures real user interactions with web applications (e.g., page load times) using a Browser Agent.
* Why not B or D?
* Capacity Planning (B): Available in Operations Insights, not APM.
* Java Management (D): Not a feature of APM; Java Agent is a tool, not a feature.
These features align with APM's focus on performance and user experience.
Reference: APM Overview
NEW QUESTION # 12
A cloud operations team is using LoganAI to analyze large volumes of log data ingested into OCI Log Analytics. Which two LoganAI capabilities support this analysis?
Answer: B,D
Explanation:
LoganAI is the artificial intelligence capability integrated with Oracle Log Analytics. Its Explain features generate concise summaries and interpretations for individual log records, multiple records, clusters, issues, outliers, and supported charts. This helps administrators understand large datasets without manually reading every log entry. LoganAI also generates relevant, context-aware follow-up questions and permits users to ask their own questions, supporting an interactive investigation of patterns, anomalies, and potential problems.
The capability can explain complex log information in accessible language and accelerate troubleshooting, although Oracle recommends validating AI-generated conclusions before making operational decisions.
LoganAI does not migrate logs between regions and does not automatically provision sources for log ingestion. Those are separate administrative and data-management activities. Therefore, summaries and interactive follow-up questions are the two valid capabilities. Oracle documentation
NEW QUESTION # 13
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?
Answer: C
Explanation:
For continuous log ingestion from Object Storage:
* ObjectCollection Rule (A): A Logging Analytics feature that monitors Object Storage buckets and ingests logs based on defined patterns (e.g., bucket name, object prefix). It's designed for this purpose.
* Why not B, C, or D?
* Object Store (B), Object Storage (C), Object Store Bucket (D): These refer to the storage service or its components, not a method for log ingestion.
ObjectCollection Rule ensures automated, ongoing log collection.
Reference: ObjectCollection Rule
NEW QUESTION # 14
To better manage resource utilization in your environment, you decide to notify your team whenever a new compute instance is created. What should you create to accomplish this task?
Answer: C
Explanation:
OCI Events is designed to detect resource-state changes and trigger defined actions. An Events rule can match the Compute service's Instance - Launch End event, represented by com.oraclecloud.computeapi.
launchinstance.end, and deliver the event to a Notifications topic. The topic then forwards a message to its confirmed subscriptions, such as email or HTTPS endpoints. An autoscaling policy creates or removes instances according to performance criteria, but it does not satisfy the requirement to notify the team about every newly created instance. A Monitoring query evaluates metric data emitted by existing resources and is not the appropriate mechanism for detecting completion of a resource-creation API operation. Therefore, an Events rule using the Launch End event and a Notifications action is the correct solution. Oracle Events documentation
NEW QUESTION # 15
Which of the following is required to enable Stack Monitoring?
Answer: B
Explanation:
To enable Stack Monitoring:
* Dynamic group for discovery service (A): A dynamic group defines resources (e.g., compute instances) that Stack Monitoring can discover and monitor. A policy granting permissions to this group is also required.
* Why not B or C?
* Machine Learning group (B): Not a valid OCI concept for Stack Monitoring.
* User group for VCN collection (C): User groups manage human access, not service discovery.
This setup ensures Stack Monitoring can access and monitor resources.
Reference: Stack Monitoring Setup
NEW QUESTION # 16
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