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| Section | Weight | Objectives |
|---|---|---|
| Logging and Log Analytics | 25% | - OCI Logging service and log management - Logging Analytics: ingestion, parsing, and analytics |
| OCI Monitoring and Metrics | 30% | - Metric queries, dashboards, and visualization - Monitoring service concepts and metrics collection |
| Application Performance Monitoring and Distributed Tracing | 20% | - APM setup, instrumentation, and end-user monitoring - Distributed tracing, diagnostics, and troubleshooting |
| Alarms and Notifications | 25% | - Alarm configuration, thresholds, and status - Notifications service and integration patterns |
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NEW QUESTION # 35
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)
Answer: C,D
Explanation:
SQL Warehouse in Operations Insights categorizes SQL performance:
* Degraded (A): SQL statements with declining performance over time (e.g., increased latency), indicating potential issues.
* Plan changes (C): SQL statements with altered execution plans, impacting performance or resource use.
* Why not B or D?
* Climbing (B): Not a standard category; possibly a misnomer.
* Efficient (D): Positive performance isn't a focus category.
These help identify and resolve SQL issues.
Reference: SQL Warehouse Categories
NEW QUESTION # 36
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: A,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 # 37
Which of the following is not a key interaction element in the Log Explorer UI of Logging Analytics?
Answer: C
Explanation:
The Log Explorer UI in OCI Logging Analytics includes four key interaction elements: Fields Panel, Time Picker, Scope Filter, and Results Panel. These allow users to search, filter, and analyze logs interactively.
* Dashboard (D): This is not part of the Log Explorer UI. Dashboards are separate visualizations in Logging Analytics for summarizing data, not an interactive element of the Log Explorer.
* Why A, B, and C are key elements:
* Fields Panel (A): Displays log fields for filtering and analysis.
* Time Picker (B): Sets the time range for log queries.
* Scope Filter (C): Defines the scope (e.g., compartments, log groups) of the log search.
Reference: Log Explorer UI
NEW QUESTION # 38
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 # 39
Which is one of the primary use cases for the Oracle Cloud Infrastructure (OCI) Observability and Management (O & M) Logging Analytics service?
Answer: C
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 # 40
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