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| Section | Weight | Objectives |
|---|---|---|
| Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Monitor applications with deep visibility into end-user experience | 20% | - Instrument applications for data collection - Examine visualizing and analyzing performance data - Explore the key concepts of Application Performance Monitoring (APM) |
| Monitor distributed components of an application stack | 7% | - Analyze discovering resources and monitoring with metrics - Identify the key concepts of Stack Monitoring |
| Identify log data patterns and create visualizations for advanced analytics | 22% | - Present advanced analytics and features for troubleshooting - Explore log ingestion methods for Logging Analytics - Distinguish the key concepts of Logging Analytics - Analyze, search, filter and visualize logs |
| Centrally manage and visualize log data | 16% | - Create Connectors for Log Transitions - Distinguish log categories and enable log collection from sources - Explore managing and searching logs from the entire log estate |
| 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 |
| 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 |
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NEW QUESTION # 60
What is enabled by the SQL Warehouse application within Operations Insights?
Answer: B
Explanation:
The SQL Warehouse in Operations Insights focuses on SQL-level analysis:
* Insights into the SQL performance (A): Provides a centralized repository of SQL performance data (e.
g., execution time, resource usage) from monitored databases, enabling detailed analysis and optimization.
* Why not B, C, or D?
* Trend and Forecast (B): Handled by Capacity Planning in Operations Insights, not SQL Warehouse.
* Consolidated Databases (C): A misnomer; it's about data, not database consolidation.
* Reduced costs (D): An outcome, not a direct feature.
SQL Warehouse enhances database performance visibility.
Reference: SQL Warehouse
NEW QUESTION # 61
When would you use a vantage point in Application Performance Monitoring (APM)?
Answer: B
Explanation:
In APM, a vantage point is used in:
* Synthetic Monitoring (D): Runs tests from specific locations (vantage points) to monitor web application or API availability and performance globally.
* Why not A, B, or C?
* Java Management (A): Unrelated to vantage points.
* Distributed Tracing (B): Tracks internal request flows, not external tests.
* Application Insights (C): Not a formal APM feature; vague term.
Vantage points simulate user access from different regions.
Reference: Synthetic Monitoring
NEW QUESTION # 62
Which statement is valid for auto-upgrade of Management Agent?
Answer: B
Explanation:
The auto-upgrade feature for Management Agents ensures they stay current:
* Users cannot disable "auto-upgrade" (B): Auto-upgrade is mandatory and enabled by default, automatically updating agents to the latest version for security and functionality. Users lack an opt-out mechanism.
* Why not A, C, or D?
* A: Incorrect; it's not configurable at the tenancy level.
* C: True that it's enabled by default, but B is more precise about the lack of disable option.
* D: False; auto-upgrade exists.
This ensures consistent agent reliability.
Reference: Management Agent Auto-Upgrade
NEW QUESTION # 63
Which are the different data sources from where the Application Performance Monitoring (APM) Java agent can collect spans and metrics data?
Answer: A
Explanation:
The APM Java Agent collects telemetry from Java applications:
* Jaeger or Zipkin (C): These are open-source distributed tracing systems. The Java Agent can integrate with Jaeger- or Zipkin-compatible applications, collecting spans and metrics for APM analysis.
* Why not A, B, or D?
* NginX (A): A web server; APM uses other agents (e.g., Browser Agent) for such systems.
* WebLogic, etc. (B): Application servers, but not direct data sources; the agent collects from the app, not the server type.
* VMware ESXi (D): A hypervisor, unrelated to Java tracing.
Jaeger and Zipkin compatibility extends APM's reach.
Reference: APM Java Agent
NEW QUESTION # 64
Which two resources can be monitored by Stack Monitoring? (Choose two.)
Answer: A,B
Explanation:
Stack Monitoring tracks application stack components:
* WebLogic Servers (B): Monitors performance and health of WebLogic instances.
* Oracle External Databases (C): Tracks on-premises or cloud Oracle databases outside OCI's native DBaaS.
* Why not A or D?
* Object Storage Buckets (A): Not supported by Stack Monitoring; use Logging instead.
* Virtual Cloud Networks (D): Network monitoring is separate (e.g., VCN Flow Logs).
These align with Stack Monitoring's focus on application stacks.
Reference: Stack Monitoring Resources
NEW QUESTION # 65
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