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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: 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 |
| Topic 3: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Topic 4: Monitor applications with deep visibility into end-user experience | 20% | - Analyze application performance and end-user experience - Use Application Performance Monitoring - Configure application instrumentation and data collection |
| Topic 5: Respond to cloud resource changes in real-time | 10% | - Respond to Events and integration with OCI services - Determine Event Structure, Event Types and Rules - Analyze the key concepts of Events Service |
| Topic 6: Monitor distributed components of an application stack | 7% | - Analyze infrastructure and application metrics - Discover and monitor distributed application components - Use Stack Monitoring |
| Topic 7: Centrally manage and visualize log data | 16% | - Manage logs using OCI Logging - Configure logging and log connectors - Collect, search and analyze log data |
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NEW QUESTION # 60
Which step is essential while building a reliable log monitoring environment?
Answer: A
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 # 61
What are two examples of a Stack Monitoring deployment model? (Choose two.)
Answer: B,D
Explanation:
Stack Monitoring monitors application stacks across environments:
* Resources running on OCI compute instances (B): Monitors components (e.g., WebLogic, databases) on OCI VMs using Management Agents.
* Resources running on-premises (D): Tracks on-premises resources (e.g., Oracle Databases) via Enterprise Manager Bridge or agents.
* Why not A or C?
* A: Management Gateway is a proxy, not a resource host.
* C: Network appliances aren't typical Stack Monitoring targets.
These models cover cloud and on-premises stacks.
Reference: Stack Monitoring Deployment
NEW QUESTION # 62
Which two statements describe the roles of topics and subscriptions in OCI Notifications?
Answer: B,D
Explanation:
OCI Notifications implements a publish-subscribe messaging model. A topic is a communication channel to which producers publish messages. Each topic can have one or more subscriptions, and every subscription identifies an endpoint that receives messages published to that topic. Supported endpoint types include email, SMS, HTTPS custom URLs, OCI Functions, and supported messaging integrations. Topics do not define the message format and are not used to create network-security policies. Similarly, subscriptions are not groups of resources monitored by OCI Monitoring. Monitoring alarms, Events rules, service connectors, applications, or users can publish messages to a topic, after which Notifications delivers those messages to the topic's subscriptions. Therefore, subscriptions represent receiving endpoints, while topics provide the shared communication channel through which messages are distributed. Oracle documentation
NEW QUESTION # 63
Which TWO Observability and Management (O & M) services are supported by Management Agent?
(Choose two.)
Answer: C,D
Explanation:
Management Agents collect and send data to OCI services:
* Logging Analytics (B): Agents gather log data from various sources (e.g., files, databases) and send it to Logging Analytics for indexing and analysis.
* Enterprise Manager (C): Agents integrate with Oracle Enterprise Manager, enabling monitoring of on- premises or cloud targets within OCI.
* Why not A or D?
* Application Performance Management (A): Uses Java and Browser Agents, not Management Agents.
* Database Management (D): Leverages agents indirectly via other services, not a direct target.
These services leverage Management Agents for observability.
Reference: Management Agent Supported Services
NEW QUESTION # 64
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 # 65
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