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| Section | Weight | Objectives |
|---|---|---|
| Identify log data patterns and create visualizations for advanced analytics | 22% | - Analyze, search, filter and visualize logs - Distinguish the key concepts of Logging Analytics - Explore log ingestion methods for Logging Analytics - Present advanced analytics and features for troubleshooting |
| Monitor applications with deep visibility into end-user experience | 20% | - Explore the key concepts of Application Performance Monitoring (APM) - Instrument applications for data collection - Examine visualizing and analyzing performance data |
| Monitor distributed components of an application stack | 7% | - Analyze discovering resources and monitoring with metrics - Identify the key concepts of Stack Monitoring |
| Centrally manage and visualize log data | 16% | - Distinguish log categories and enable log collection from sources - Create Connectors for Log Transitions - Explore managing and searching logs from the entire log estate |
| Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Respond to cloud resource changes in real-time | 10% | - Respond to Events and integration with OCI services - Analyze the key concepts of Events Service - Determine Event Structure, Event Types and Rules |
| Monitor cloud environments with metrics and alarms | 18% | - Discuss enabling Metrics for monitoring OCI resources - Explain the key concepts of Monitoring Service - Configure Alarm Definitions using best practices |
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NEW QUESTION # 67
Which is NOT an alarm state in OCI Monitoring?
Answer: A
Explanation:
An OCI Monitoring alarm normally reports an OK state when its configured trigger condition is not satisfied and a Firing state when the condition has been satisfied for the required trigger delay. "Pending" is not an externally reported alarm state. During evaluation, a potential transition can be internally pending while OCI waits for the configured trigger delay to elapse, but the alarm continues to report its current state-commonly OK-until the transition criteria are fully met. Oracle's troubleshooting example explicitly shows evaluations whose status changes are internally pending while the displayed alarm status remains OK. Once the required consecutive evaluations are satisfied, the status changes to Firing. Thus, pending describes an internal transition condition rather than an alarm state exposed by OCI Monitoring. Oracle documentation
NEW QUESTION # 68
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply. (Choose two.)
Answer: C,D
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 # 69
What are the two capabilities available in Operations Insights? (Choose two.)
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.
Reference: Operations Insights Overview
NEW QUESTION # 70
Which step is essential while building a reliable log monitoring environment?
Answer: B
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 # 71
You are part of an organization with thousands of users accessing Oracle Cloud Infrastructure (OCI). An unknown user action was executed, resulting in configuration errors. You are tasked to quickly identify the details of all users who were active in the last six hours along with any REST API calls that were executed.
Which OCI service would you use?
Answer: E
Explanation:
To investigate user activity and REST API calls over the last six hours, the OCI Audit service is the appropriate tool.
* Audit (E): This service automatically records all API operations (including REST API calls) performed on OCI resources. It provides detailed logs with user details, timestamps, and actions, ideal for security and compliance investigations. You can filter audit logs by time range (e.g., last six hours) and user attributes.
* Why not A, B, C, or D?
* Notifications (A): Sends alerts but doesn't store or analyze API call details.
* Service Connectors (B): Moves data between services, not for auditing.
* Management Agent (C): Collects metrics/logs from resources, not API audit data.
* Logging (D): Handles application and system logs, not API activity tracking.
Audit logs are retained for 90 days by default, making this a perfect fit.
Reference: OCI Audit Service
NEW QUESTION # 72
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