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| Section | Weight | Objectives |
|---|---|---|
| OCI Monitoring and Metrics | 30% | - Metric queries, dashboards, and visualization - Monitoring service concepts and metrics collection |
| Logging and Log Analytics | 25% | - OCI Logging service and log management - Logging Analytics: ingestion, parsing, and analytics |
| Alarms and Notifications | 25% | - Notifications service and integration patterns - Alarm configuration, thresholds, and status |
| 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 # 18
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: A,C
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 # 19
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply. (Choose two.)
Answer: B,C
Explanation:
Reducing noise in Logging Analytics improves log analysis focus:
* Use parsed logs search (C): Searches based on extracted fields (e.g., severity=ERROR) filter out irrelevant logs, targeting specific issues.
* Use time-picker to limit the volume of logs (D): Narrows the time range (e.g., last hour), reducing the dataset to relevant periods.
* Why not A or B?
* Histogram records (A): Visualizes data distribution, not a noise reduction method.
* Specific keywords (B): Useful but less precise than parsed fields; raw text search isn't emphasized in Logging Analytics.
These methods enhance signal-to-noise ratio.
Reference: Logging Analytics Search
NEW QUESTION # 20
Why do dedicated Vantage Points matter? Select two reasons that apply. (Choose two.)
Answer: C,D
Explanation:
In OCI APM's Synthetic Monitoring, Vantage Points are locations from which synthetic tests (e.g., HTTP requests) are run. Dedicated Vantage Points are private, user-managed instances, distinct from public ones hosted by Oracle:
* Applications on-premise or on secured network cannot be tested from a public Vantage Point (B):
Public Vantage Points, located in Oracle-managed regions, lack access to private networks (e.g., on- premise servers or firewalled applications). Dedicated Vantage Points, deployed within a user's network, overcome this limitation.
* Test internal customer applications (C): Dedicated Vantage Points enable testing of internal applications (e.g., intranet sites) not exposed to the public internet, ensuring performance monitoring from within the secured environment.
* Why not A or D?
* Test from public Vantage Point (A): Contradicts B; public Vantage Points can't access private networks.
* Test Deployment Manager and Scheduler (D): These are unrelated OCI components, not Synthetic Monitoring targets.
Dedicated Vantage Points extend monitoring to restricted environments.
Reference: Synthetic Monitoring Vantage Points
NEW QUESTION # 21
Which two functions does the Trace Explorer allow you to do in Application Performance Monitoring (APM)? (Choose two.)
Answer: B,D
Explanation:
The Trace Explorer in OCI Application Performance Monitoring (APM) is a tool for analyzing distributed traces and spans. Its key functions include:
* View the details of specific spans (A): Trace Explorer allows users to drill into individual spans within a trace, displaying details such as duration, status, tags, logs, and errors. This helps identify performance bottlenecks or failures in specific service calls.
* Select pre-defined queries for common use cases (B): It provides built-in queries (e.g., slowest traces, error traces, traces by service) to quickly filter and analyze common scenarios, enhancing troubleshooting efficiency.
* Why not C or D?
* Display status of monitored systems (C): System status is monitored via OCI Monitoring or Stack Monitoring, not Trace Explorer, which focuses on traces.
* Define custom metrics for traces (D): Custom metrics are defined in OCI Monitoring, not Trace Explorer, which is for viewing, not creating metrics.
Trace Explorer enhances visibility into distributed application performance.
Reference: APM Trace Explorer
NEW QUESTION # 22
Which of the following is required to enable Stack Monitoring?
Answer: C
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 # 23
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