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| Section | Weight | Objectives |
|---|---|---|
| Monitor applications with deep visibility into end-user experience | 20% | - Configure application instrumentation and data collection - Use Application Performance Monitoring - Analyze application performance and end-user experience |
| 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% | - Analyze infrastructure and application metrics - Use Stack Monitoring - Discover and monitor distributed application components |
| 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 |
| Identify log data patterns and create visualizations for advanced analytics | 22% | - Use Logging Analytics for log ingestion and analysis - Search, filter and visualize log data - Perform advanced log analytics and troubleshooting |
| 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 |
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NEW QUESTION # 17
In Application Performance Monitoring (APM), a distributed tracing user initiates a request through a browser. What is the first span called?
Answer: A
Explanation:
In distributed tracing within OCI APM:
* Root span (C): The first span in a trace, representing the entry point of a user request (e.g., an HTTP request from a browser). It has no parent span and initiates the chain of subsequent spans across services.
* Why not A or B?
* Ajax call (A): A type of request, not a span term.
* Trace ID (B): A unique identifier for the entire trace, not a span.
The root span is foundational to tracing a request's journey.
Reference: APM Traces and Spans
NEW QUESTION # 18
Which TWO items describe the capabilities of the Oracle Cloud Infrastructure (OCI) Database Management Service? (Choose two.)
Answer: C,D
Explanation:
The Database Management Service enhances database oversight:
* Monitor database performance (B): Provides tools like Performance Hub to track real-time and historical metrics (e.g., CPU, I/O).
* Perform management tasks across a group of databases (C): Database Fleet Management enables bulk operations (e.g., configuration checks, SQL execution) across multiple databases.
* Why not A or D?
* A: Log viewing is via Logging Service, not a core DM feature.
* D: SQL analysis is in Operations Insights, not DM directly.
These capabilities streamline database administration.
Reference: Database Management
NEW QUESTION # 19
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 # 20
Which is the correct Monitoring Query Language expression for determining the total number of hosts whose CPU utilization exceeds a threshold of 80 percent?
Answer: D
Explanation:
The expression first evaluates the maximum CPU utilization for each metric stream over one-minute intervals.
The predicate > 80 converts that result into a Boolean threshold evaluation identifying the streams whose CPU utilization exceeds 80 percent. Parentheses make this threshold query the nested inner expression. The grouping() operation then treats the resulting streams as one group, and sum() calculates the total number of streams satisfying the predicate. Oracle provides this expression as its example for calculating the sum of hosts with CPU utilization greater than 80 percent. Option A reports maximum utilization but applies no threshold. Option B filters by instance shape without counting threshold violations. Option D performs aggregation without first evaluating whether utilization exceeds 80 percent. Oracle documentation
NEW QUESTION # 21
What happens in Stack Monitoring after Management Agents are set up and resources are discovered?
Answer: A
NEW QUESTION # 22
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