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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| 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 |
| Identify log data patterns and create visualizations for advanced analytics | 22% | - Perform advanced log analytics and troubleshooting - Search, filter and visualize log data - Use Logging Analytics for log ingestion and analysis |
| Centrally manage and visualize log data | 16% | - Collect, search and analyze log data - Manage logs using OCI Logging - Configure logging and log connectors |
| Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Monitor distributed components of an application stack | 7% | - Discover and monitor distributed application components - Analyze infrastructure and application metrics - Use Stack Monitoring |
| 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 # 89
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 # 90
Which response contains rich information to process for analytics?
Answer: A
Explanation:
For analytics, the data source must provide detailed, actionable information.
* Database Audit Logs (C): These logs contain rich data like user actions, SQL queries, timestamps, and security events, making them ideal for performance, security, and compliance analysis in Logging Analytics.
* Why not A, B, or D?
* Entity types (A): These are metadata definitions, not data for analytics.
* Log Sources (B): These are configurations for log parsing, not the logs themselves.
* Logging Analytic Entities (D): Entities are resource representations, not the data content.
Database Audit Logs offer the depth needed for meaningful insights.
Reference: Logging Analytics Data
NEW QUESTION # 91
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)
Answer: A,D
Explanation:
The Observability Lakehouse in Operations Insights is a data repository for operational analytics:
* Enables custom analytics (B): Supports trending (e.g., usage patterns), forecasting (e.g., resource needs), capacity planning, and workload profiling using advanced analytical tools, enhancing resource optimization.
* Allows Oracle Enterprise Manager's data (D): Integrates operational data from Enterprise Manager (e.
g., database metrics) for use cases like performance analysis and anomaly detection.
* Why not A or C?
* Statistical analysis of AI data (A): Too vague; Lakehouse focuses on operational data, not AI- specific stats.
* Identifies future resource usage (C): Partial benefit of B, but not a standalone feature.
These capabilities improve operational decision-making.
Reference: Operations Insights Observability Lakehouse
NEW QUESTION # 92
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 # 93
Which option describes how to enable secure communication between OCI Notifications and an email endpoint?
Answer: D
Explanation:
When an email subscription is created for an OCI Notifications topic, Notifications sends a confirmation message containing a confirmation URL to the specified email endpoint. The subscription remains in the PENDING state and cannot receive regular topic messages until the recipient opens the URL and confirms the subscription. This confirmation process verifies that the recipient controls the email address and agrees to receive notifications from the topic. The confirmation URL remains valid for three days. An API Gateway is not required for an email subscription, and users do not configure an SMTP integration because OCI Notifications manages email delivery. Encryption at rest protects stored service data but does not establish or authorize the connection to an individual email endpoint. Therefore, confirming the email subscription is the required step. Oracle documentation
NEW QUESTION # 94
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