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| Section | Weight | Objectives |
|---|---|---|
| Monitor cloud environments with metrics and alarms | 18% | - Configure Alarm Definitions using best practices - Explain the key concepts of Monitoring Service - Discuss enabling Metrics for monitoring OCI resources |
| Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| 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 |
| Monitor applications with deep visibility into end-user experience | 20% | - Explore the key concepts of Application Performance Monitoring (APM) - Examine visualizing and analyzing performance data - Instrument applications for data collection |
| 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 |
| Identify log data patterns and create visualizations for advanced analytics | 22% | - Present advanced analytics and features for troubleshooting - Distinguish the key concepts of Logging Analytics - Analyze, search, filter and visualize logs - Explore log ingestion methods for Logging Analytics |
| Monitor distributed components of an application stack | 7% | - Analyze discovering resources and monitoring with metrics - Identify the key concepts of Stack Monitoring |
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NEW QUESTION # 56
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 # 57
Which observability pillar is best suited for identifying performance bottlenecks across a distributed system by tracking request flows from end to end?
Answer: D
Explanation:
A trace represents the complete flow of a request as it passes through the components of a distributed system during a specific period. It consists of related spans, with each span representing an operation or logical unit of work and recording information such as its name, start time, and duration. This structure allows engineers to follow a request across services and determine where excessive latency, failures, or other bottlenecks occur.
Metrics summarize numerical behavior over time but do not ordinarily show the complete path of an individual request. Logs provide detailed event records, while events report state changes or occurrences.
Those signals remain valuable, but distributed tracing is specifically designed to visualize and diagnose end- to-end request execution across interconnected services. Oracle documentation
NEW QUESTION # 58
Which two resources can be monitored by Stack Monitoring? (Choose two.)
Answer: B,C
Explanation:
Stack Monitoring tracks application stack components:
* WebLogic Servers (B): Monitors performance and health of WebLogic instances.
* Oracle External Databases (C): Tracks on-premises or cloud Oracle databases outside OCI's native DBaaS.
* Why not A or D?
* Object Storage Buckets (A): Not supported by Stack Monitoring; use Logging instead.
* Virtual Cloud Networks (D): Network monitoring is separate (e.g., VCN Flow Logs).
These align with Stack Monitoring's focus on application stacks.
Reference: Stack Monitoring Resources
NEW QUESTION # 59
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 # 60
Your on-premises private cloud environment consists of virtual machines hosting a set of application servers.
These VMs are currently monitored using a 3rd party monitoring tool for resource metrics such as CPU and Memory utilization. You have created an automation workflow to transform these application servers into Oracle Cloud Infrastructure (OCI) which will deploy a set of new compute instances. There are a few requirements to consider while running this task: Ensure continuous monitoring is enabled, so the current monitored resource metrics are continuously collected and reported; Monitor the completion of Compute Instance deployment during the workflow and notify with email on each execution; Notify with email for any new OCI Object Storage buckets created after the migration workflow. What solution would you recommend to achieve these requirements?
Answer: C
Explanation:
The solution must address continuous monitoring and event-driven notifications:
* D:
* OCI Compute agent on on-premises VMs and OCI instances: Ensures metric continuity (e.g., CPU, memory) across the migration, using Management Agents for both environments.
* Events service: Tracks launchinstance.end for deployment completion and createbucket for new buckets.
* Notifications and Events: Sends email alerts for these events.
* Why not A, B, or C?
* A: Misses on-premises monitoring continuity.
* B: Lacks bucket creation tracking.
* C: Redundant 3rd-party tool use; OCI agents suffice.
D provides end-to-end coverage.
Reference: Management Agents , Events Service
NEW QUESTION # 61
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