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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor cloud environments with metrics and alarms | 18% | - Configure Alarm Definitions using best practices - Discuss enabling Metrics for monitoring OCI resources - Explain the key concepts of Monitoring Service |
| Topic 2: Monitor distributed components of an application stack | 7% | - Discover and monitor distributed application components - Use Stack Monitoring - Analyze infrastructure and application metrics |
| Topic 3: Monitor applications with deep visibility into end-user experience | 20% | - Use Application Performance Monitoring - Configure application instrumentation and data collection - Analyze application performance and end-user experience |
| Topic 4: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Topic 5: Respond to cloud resource changes in real-time | 10% | - Analyze the key concepts of Events Service - Determine Event Structure, Event Types and Rules - Respond to Events and integration with OCI services |
| Topic 6: Identify log data patterns and create visualizations for advanced analytics | 22% | - Use Logging Analytics for log ingestion and analysis - Search, filter and visualize log data - Perform advanced log analytics and troubleshooting |
| Topic 7: Centrally manage and visualize log data | 16% | - Configure logging and log connectors - Collect, search and analyze log data - Manage logs using OCI Logging |
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NEW QUESTION # 71
Which step is essential while building a reliable log monitoring environment?
Answer: C
Explanation:
A reliable log monitoring environment filters signal from noise:
* Noise baseline determination (B): Establishes the typical level of irrelevant log data, allowing filters (e.
g., severity levels) to focus on meaningful events, improving monitoring effectiveness.
* Why not A, C, or D?
* A: ML models are advanced, not essential for baseline setup.
* C: KPIs are useful but secondary to noise reduction.
* D: Permissions are administrative, not core to reliability.
Noise baseline is foundational.
Reference: Logging Analytics Best Practices
NEW QUESTION # 72
Which of the following is required to enable Stack Monitoring?
Answer: A
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 # 73
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 # 74
Which two future resource usages are identified by Exadata Warehouse Insights custom analytics under Operations Insights? (Choose two.)
Answer: C,D
Explanation:
Exadata Warehouse Insights in OCI Operations Insights provides advanced analytics to forecast resource usage for Exadata systems.
* Memory (A): Tracks and predicts memory utilization based on historical trends, aiding capacity planning.
* CPU (D): Forecasts CPU usage, helping identify potential bottlenecks or over-provisioning.
* Why not B or C?
* Network usage (B): While monitored, it's not a primary focus of Exadata Warehouse Insights' future usage predictions.
* AIOps (C): This is a methodology, not a resource usage metric.
These forecasts leverage historical data and what-if analysis for proactive management.
Reference: Exadata Warehouse Insights
NEW QUESTION # 75
You have configured an Alarm Definition in the Oracle Cloud Infrastructure (OCI) Monitoring service to send notifications through email. The alarm should resend notifications at specified intervals if the alarm continues to be in the firing state. A subscriber in the Notifications Topic complains about not receiving multiple emails upon failures. Which of the following could be the possible cause of this issue?
Answer: C
NEW QUESTION # 76
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