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| Section | Weight | Objectives |
|---|---|---|
| Monitor cloud environments with metrics and alarms | 18% | - Explain the key concepts of Monitoring Service - Discuss enabling Metrics for monitoring OCI resources - Configure Alarm Definitions using best practices |
| Monitor distributed components of an application stack | 7% | - Use Stack Monitoring - Discover and monitor distributed application components - Analyze infrastructure and application metrics |
| Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Monitor applications with deep visibility into end-user experience | 20% | - Configure application instrumentation and data collection - Analyze application performance and end-user experience - Use Application Performance Monitoring |
| Identify log data patterns and create visualizations for advanced analytics | 22% | - Perform advanced log analytics and troubleshooting - Use Logging Analytics for log ingestion and analysis - Search, filter and visualize log data |
| Respond to cloud resource changes in real-time | 10% | - Analyze the key concepts of Events Service - Respond to Events and integration with OCI services - Determine Event Structure, Event Types and Rules |
| Centrally manage and visualize log data | 16% | - Configure logging and log connectors - Manage logs using OCI Logging - Collect, search and analyze log data |
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NEW QUESTION # 75
As an IT administrator, you need to set up continuous and automatic log ingestion from an OCI compute instance to OCI Logging Analytics. Which method is recommended to meet this requirement?
Answer: D
Explanation:
OCI Management Agent is the recommended mechanism for continuously collecting logs stored on a compute instance or another host. The agent runs on the log-emitting host and uses the Log Analytics plug-in to collect supported file, syslog, database, Windows event, REST API, and other log types. After the relevant entity, source, parser, and source-entity association are configured, the agent automatically sends new log records to Logging Analytics. Manual upload is intended for one-time or historical ingestion rather than continuous collection. The LogEvents API requires custom integration, while Service Connector is primarily used to ingest logs generated by OCI services through OCI Logging. Therefore, enabling OCI Management Agent provides the required continuous and automatic host-based ingestion workflow. Oracle documentation
NEW QUESTION # 76
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)
Answer: C,D
Explanation:
SQL Warehouse in Operations Insights categorizes SQL performance:
* Degraded (A): SQL statements with declining performance over time (e.g., increased latency), indicating potential issues.
* Plan changes (C): SQL statements with altered execution plans, impacting performance or resource use.
* Why not B or D?
* Climbing (B): Not a standard category; possibly a misnomer.
* Efficient (D): Positive performance isn't a focus category.
These help identify and resolve SQL issues.
Reference: SQL Warehouse Categories
NEW QUESTION # 77
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)
Answer: A,B
Explanation:
OCI APM uses specific agents for data collection:
* Java Agent (B): Attaches to Java applications to collect traces, metrics, and errors for APM.
* Browser Agent (D): A JavaScript snippet embedded in web pages to collect Real User Monitoring (RUM) data (e.g., page load times).
* Why not A or C?
* Management Agent (A): Used for Stack Monitoring/Operations Insights, not APM.
* Cloud Agent (C): Monitors compute instances, not an APM-specific agent.
These agents target application and user experience monitoring.
Reference: APM Agents
NEW QUESTION # 78
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 # 79
Which is NOT an alarm state in OCI Monitoring?
Answer: B
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 # 80
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