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| Section | Weight | Objectives |
|---|---|---|
| Alarms and Notifications | 25% | - Notifications service and integration patterns - Alarm configuration, thresholds, and status |
| Logging and Log Analytics | 25% | - OCI Logging service and log management - Logging Analytics: ingestion, parsing, and analytics |
| Application Performance Monitoring and Distributed Tracing | 20% | - APM setup, instrumentation, and end-user monitoring - Distributed tracing, diagnostics, and troubleshooting |
| OCI Monitoring and Metrics | 30% | - Monitoring service concepts and metrics collection - Metric queries, dashboards, and visualization |
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NEW QUESTION # 24
A company wants to build a real-time monitoring system for changes occurring in its OCI environment. The team decides to use OCI Events to capture changes and send them to OCI Streaming. Which two statements describe the integration of OCI Events with OCI Streaming?
Answer: B,C
Explanation:
An OCI Events rule evaluates structured event messages generated when supported resources change state.
When an event matches the rule conditions, the rule can execute an action that publishes the message directly to a selected OCI Streaming stream. Therefore, applications do not need to poll OCI Events manually, and Service Connector Hub is not required for this direct Events-to-Streaming integration. OCI Streaming stores messages in a partitioned, append-only stream. Each published message is assigned to a partition, usually based on its message key, and partitions enable scalable throughput and parallel consumption. Consumers can then process the resource-change events in near real time. Consequently, the valid statements are that Events publishes to Streaming through a rule action and that Streaming uses partitions to distribute and organize messages. Oracle Events documentation
NEW QUESTION # 25
Which step is essential while building a reliable log monitoring environment?
Answer: C
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 # 26
Choose two FluentD scenarios that apply when using continuous log collection with client-side processing.
(Choose two.)
Answer: C,D
Explanation:
FluentD is an open-source data collector used for continuous log collection with client-side processing in OCI Logging. Two applicable scenarios are:
* Managing apps/services which push logs to Object Storage (A): FluentD can be configured to collect logs from applications or services (e.g., Oracle Functions) that write logs to Object Storage buckets. It processes these logs client-side and forwards them to OCI Logging or Logging Analytics.
* Comprehensive monitoring for OKE/Kubernetes (B): FluentD is widely used in Kubernetes environments like Oracle Container Engine for Kubernetes (OKE) to collect logs from pods, containers, and nodes. It processes these logs locally before sending them to OCI services for analysis.
* Why not C or D?
* Monitoring unsupported systems (C): While possible, this is not a primary FluentD scenario in OCI-it's more about extending Management Agent capabilities.
* Log Source (D): This is a component of Logging Analytics, not a FluentD scenario.
FluentD's flexibility makes it ideal for these use cases in OCI's observability ecosystem.
Reference: FluentD with OCI Logging , OKE Logging
NEW QUESTION # 27
What are the two items required to create a rule for the Oracle Cloud Infrastructure (OCI) Events Service?
(Choose two.)
Answer: A,E
Explanation:
To create a rule in the OCI Events Service, you need to define what triggers the rule and what happens when it's triggered. The two required components are:
* Actions (B): These specify the tasks to perform when an event matches the rule (e.g., invoking a function, sending a notification, or streaming to a service). Without an action, the rule has no effect.
* Rule Conditions (C): These define the criteria for matching events (e.g., event type like com.
oraclecloud.computeapi.launchinstance.end or resource attributes). Conditions filter which events trigger the rule.
* Why not A, D, or E?
* Management Agent Cloud Service (A): This is unrelated to Events Service rules; it's for monitoring resources.
* Install Key (D): This is used for agent installation, not event rules.
* Service Connector (E): While it can work with Events Service, it's a separate service and not a required component of an event rule itself.
These two elements form the core of an OCI Events Service rule, enabling event-driven automation.
Reference: OCI Events Service Rules
NEW QUESTION # 28
Which statement is NOT valid about creating an alarm query in Oracle Cloud Infrastructure (OCI) Monitoring?
Answer: D
Explanation:
Creating an alarm query in OCI Monitoring involves MQL:
* Invalid: You must specify a resource group (D): Resource groups (e.g., groupBy(resourceId)) are optional for aggregating metrics across streams; alarms can function without them.
* Why A, B, and C are valid:
* A: A statistic (e.g., max, avg) is required to process metric data.
* B: An interval (e.g., [1m]) defines the time window, mandatory for evaluation.
* C: A metric (e.g., CpuUtilization) is the core of the query.
Resource groups enhance, but aren't required for, alarms.
Reference: MQL for Alarms
NEW QUESTION # 29
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