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| Section | Weight | Objectives |
|---|---|---|
| OCI Monitoring and Metrics | 30% | - Metric queries, dashboards, and visualization - Monitoring service concepts and metrics collection |
| Logging and Log Analytics | 25% | - OCI Logging service and log management - Logging Analytics: ingestion, parsing, and analytics |
| Alarms and Notifications | 25% | - Alarm configuration, thresholds, and status - Notifications service and integration patterns |
| Application Performance Monitoring and Distributed Tracing | 20% | - APM setup, instrumentation, and end-user monitoring - Distributed tracing, diagnostics, and troubleshooting |
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NEW QUESTION # 30
You have configured an Alarm Definition in the Oracle Cloud Infrastructure (OCI) Monitoring service to send notifications through email. The alarm should resend notifications at specified intervals if the alarm continues to be in the firing state. A subscriber in the Notifications Topic complains about not receiving multiple emails upon failures. Which of the following could be the possible cause of this issue?
Answer: C
Explanation:
For repeated notifications in OCI Monitoring:
* Repeat notification was not enabled while creating the Alarm (B): The "Repeat Notification" option must be enabled in the alarm definition, specifying an interval (e.g., every 5 minutes). If disabled, only one notification is sent when the alarm fires, explaining the subscriber's issue.
* Why not A, C, or D?
* A: False; OCI supports repeat notifications if configured.
* C: Trigger condition is mandatory for any alarm; this isn't the issue.
* D: Notification frequency isn't tied to metric streams, only the repeat setting.
Repeat Notification ensures ongoing alerts.
Reference: Creating Alarms
NEW QUESTION # 31
You are exploring a log line in the OCI Logging service. Which two statements describe the log format?
Answer: A,C
Explanation:
OCI Logging normalizes each log line into a common event format based on the JSON implementation of the CloudEvents 1.0 specification. The normalized record contains three principal sections: a unified CloudEvents envelope, Oracle-specific metadata, and the data section containing the actual log-line content. The data content type defaults to JSON when another content type is not specified. Therefore, the format is JSON- based, and the data object carries the message body or contents of the individual log entry. It is not an XML- based format. It also does not use a traditional file-style header and footer for global settings. The standardized structure makes log records easier to search, correlate, route, and process consistently across OCI services and custom applications. Oracle documentation
NEW QUESTION # 32
Which is one of the primary use cases for the Oracle Cloud Infrastructure (OCI) Observability and Management (O & M) Logging Analytics service?
Answer: B
Explanation:
Logging Analytics is a core O & M service:
* Monitor, aggregate, index, and analyze log data (A): Collects logs from OCI and external sources, indexes them for search, and provides analytics (e.g., clustering) to monitor and troubleshoot systems.
* Why not B or C?
* B: Log centralization occurs, but "subscription model" isn't a feature.
* C: Resource creation is an Events Service use case, not Logging Analytics.
This is its primary observability role.
Reference: Logging Analytics Overview
NEW QUESTION # 33
Which two functions are available for grouping data in the OCI Monitoring service?
Answer: C,D
Explanation:
OCI Monitoring Query Language provides groupBy() and grouping() as grouping functions, but they serve different purposes. The groupBy(dimension) function combines metric streams according to the value of a specified dimension, such as availability domain, fault domain, resource group, or host. A separate aggregated result is produced for each dimension group. The grouping() function combines the metric streams returned by an inner query into one group and is commonly used in nested expressions before applying a statistic such as sum() or count(). Oracle's MQL syntax allows both functions to appear in the same expression when the analysis requires multiple aggregation stages. groupTo() and group() are not valid MQL grouping functions.
Therefore, options A and B identify the supported grouping operations
NEW QUESTION # 34
A cloud operations team is using LoganAI to analyze large volumes of log data ingested into OCI Log Analytics. Which two LoganAI capabilities support this analysis?
Answer: A,C
Explanation:
LoganAI is the artificial intelligence capability integrated with Oracle Log Analytics. Its Explain features generate concise summaries and interpretations for individual log records, multiple records, clusters, issues, outliers, and supported charts. This helps administrators understand large datasets without manually reading every log entry. LoganAI also generates relevant, context-aware follow-up questions and permits users to ask their own questions, supporting an interactive investigation of patterns, anomalies, and potential problems.
The capability can explain complex log information in accessible language and accelerate troubleshooting, although Oracle recommends validating AI-generated conclusions before making operational decisions.
LoganAI does not migrate logs between regions and does not automatically provision sources for log ingestion. Those are separate administrative and data-management activities. Therefore, summaries and interactive follow-up questions are the two valid capabilities. Oracle documentation
NEW QUESTION # 35
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