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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: 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 |
| Topic 3: Centrally manage and visualize log data | 16% | - Configure logging and log connectors - Collect, search and analyze log data - Manage logs using OCI Logging |
| Topic 4: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Topic 5: Monitor distributed components of an application stack | 7% | - Discover and monitor distributed application components - Use Stack Monitoring - Analyze infrastructure and application metrics |
| Topic 6: 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 |
| Topic 7: 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 # 81
Which two functions does the Trace Explorer allow you to do in Application Performance Monitoring (APM)? (Choose two.)
Answer: B,D
Explanation:
The Trace Explorer in OCI Application Performance Monitoring (APM) is a tool for analyzing distributed traces and spans. Its key functions include:
* View the details of specific spans (A): Trace Explorer allows users to drill into individual spans within a trace, displaying details such as duration, status, tags, logs, and errors. This helps identify performance bottlenecks or failures in specific service calls.
* Select pre-defined queries for common use cases (B): It provides built-in queries (e.g., slowest traces, error traces, traces by service) to quickly filter and analyze common scenarios, enhancing troubleshooting efficiency.
* Why not C or D?
* Display status of monitored systems (C): System status is monitored via OCI Monitoring or Stack Monitoring, not Trace Explorer, which focuses on traces.
* Define custom metrics for traces (D): Custom metrics are defined in OCI Monitoring, not Trace Explorer, which is for viewing, not creating metrics.
Trace Explorer enhances visibility into distributed application performance.
Reference: APM Trace Explorer
NEW QUESTION # 82
To better manage resource utilization in your environment, you decide to notify your team whenever a new compute instance is created. What should you create to accomplish this task?
Answer: D
Explanation:
OCI Events is designed to detect resource-state changes and trigger defined actions. An Events rule can match the Compute service's Instance - Launch End event, represented by com.oraclecloud.computeapi.
launchinstance.end, and deliver the event to a Notifications topic. The topic then forwards a message to its confirmed subscriptions, such as email or HTTPS endpoints. An autoscaling policy creates or removes instances according to performance criteria, but it does not satisfy the requirement to notify the team about every newly created instance. A Monitoring query evaluates metric data emitted by existing resources and is not the appropriate mechanism for detecting completion of a resource-creation API operation. Therefore, an Events rule using the Launch End event and a Notifications action is the correct solution. Oracle Events documentation
NEW QUESTION # 83
You are working on a project to automate the deployment of Oracle Cloud Infrastructure (OCI) compute instances that are pre-configured with web services. As part of the deployment workflow, you also need to create a corresponding OCI object storage bucket bearing the same name as that of the compute instance.
Which of these two options can help you achieve this requirement? (Choose two.)
Answer: B,C
Explanation:
To automate the creation of an OCI Object Storage bucket with the same name as a compute instance during deployment, you need a mechanism to detect the instance creation event and trigger an action to create the bucket. Two OCI services that can achieve this are Service Connector Hub and Oracle Functions, used in conjunction with the Events Service.
* Service Connector Hub (B): This service acts as a cloud message bus that facilitates data movement between OCI services. You can configure a service connector with the Events Service as the source (to detect compute instance creation events, e.g., com.oraclecloud.computeapi.launchinstance.end) and Oracle Functions as the target. The service connector filters and routes the event to trigger a function.
* Oracle Functions (C): This is a serverless platform that allows you to write and execute code in response to events. You can create a function that retrieves the compute instance name from the event payload and uses the OCI SDK or API to create an Object Storage bucket with the same name.
* Why not A, D, or E alone?
* Cloud Agent Plugin (A): This is used for monitoring and managing compute instances but does not directly support bucket creation automation.
* OCI CLI command (D): The command oci os bucket create auto is not a valid OCI CLI command (oci os bucket create is valid but requires manual invocation or scripting, not event- driven automation).
* Events Service (E): While critical for detecting instance creation, it alone cannot execute the logic to create a bucket-it needs a target like Functions or Notifications.
This solution leverages the event-driven architecture of OCI, combining Events Service (implicitly used with Service Connector Hub) and Oracle Functions for execution.
Reference: OCI Events Service , Service Connector Hub , Oracle Functions
NEW QUESTION # 84
From the following, select the different metric namespaces used for APM.
Answer: D
Explanation:
APM uses specific metric namespaces to categorize its telemetry data:
* oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring (D):
* oracle_apm_rum: Metrics from Real User Monitoring (e.g., page load times).
* oracle_apm_synthetics: Metrics from Synthetic Monitoring (e.g., test response times).
* oracle_apm_monitoring: Metrics from distributed tracing (e.g., span counts). These namespaces align with APM's three core features.
* Why not A, B, or C?
* A: Individual metric names, not namespaces.
* B: Incomplete and incorrect namespace naming.
* C: Mixes metric types with partial namespace names.
These namespaces enable targeted metric queries in OCI Monitoring.
Reference: APM Metrics
NEW QUESTION # 85
Which pillars of Observability are available as a single view from the Dashboard?
Answer: D
Explanation:
OCI Dashboards consolidate the three pillars of observability:
* Logs, Metrics, and Traces (A):
* Logs: Event records from Logging Service.
* Metrics: Numeric data from Monitoring Service.
* Traces: Request flows from APM. These can be visualized together in OCI Dashboards for unified observability.
* Why not B, C, or D?
* B: Resource categories, not pillars.
* C: Tools or components, not pillars.
* D: OCI services, not the core concepts.
This integration enhances system visibility.
Reference: OCI Dashboards
NEW QUESTION # 86
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