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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor cloud environments with metrics and alarms | 18% | - Explain the key concepts of Monitoring Service - Configure Alarm Definitions using best practices - Discuss enabling Metrics for monitoring OCI resources |
| Topic 2: Centrally manage and visualize log data | 16% | - Explore managing and searching logs from the entire log estate - Create Connectors for Log Transitions - Distinguish log categories and enable log collection from sources |
| Topic 3: Monitor applications with deep visibility into end-user experience | 20% | - Examine visualizing and analyzing performance data - Explore the key concepts of Application Performance Monitoring (APM) - Instrument applications for data collection |
| Topic 4: Respond to cloud resource changes in real-time | 10% | - Determine Event Structure, Event Types and Rules - Respond to Events and integration with OCI services - Analyze the key concepts of Events Service |
| Topic 5: Identify log data patterns and create visualizations for advanced analytics | 22% | - Explore log ingestion methods for Logging Analytics - Analyze, search, filter and visualize logs - Distinguish the key concepts of Logging Analytics - Present advanced analytics and features for troubleshooting |
| Topic 6: Monitor distributed components of an application stack | 7% | - Analyze discovering resources and monitoring with metrics - Identify the key concepts of Stack Monitoring |
| Topic 7: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
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NEW QUESTION # 29
How does a user start collecting a specific log for an Entity in Logging Analytics?
Answer: C
Explanation:
In OCI Logging Analytics, collecting logs for an Entity (a logical representation of a resource like a host or database) requires linking it to a Log Source.
* Create an Association of required Log Source with that Entity (B): This is the correct step. An association connects an Entity (e.g., a server) to a Log Source (e.g., Syslog), specifying where and how logs are collected. Once associated, Logging Analytics begins ingestion and parsing.
* Why not A, C, or D?
* Configure a path (A): The path is part of the Log Source definition, not the act of starting collection.
* Identify Fields (C): Field extraction is a post-collection step, not the initiation process.
* Enable a Parser (D): Parsers are embedded in Log Sources; enabling them is implicit in the association, not a separate step.
This association is the foundational action to enable log collection.
Reference: Logging Analytics Entities and Associations
NEW QUESTION # 30
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)
Answer: A,D
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 # 31
How does Application Performance Monitoring track all related spans for a single user request?
Answer: B
Explanation:
APM tracks request flows using:
* Using Trace ID (A): A unique identifier assigned to a trace (collection of spans) for a single user request. Propagated via HTTP headers, it links all spans across services.
* Why not B or C?
* User ID (B): Identifies users, not request flows.
* Application Name (C): Too broad; doesn't correlate specific requests.
Trace ID ensures end-to-end visibility in distributed systems.
Reference: Traces and Spans
NEW QUESTION # 32
What is enabled by the SQL Warehouse application within Operations Insights?
Answer: A
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 # 33
Which of the following is required to enable Stack Monitoring?
Answer: B
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 # 34
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