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| Section | Weight | Objectives |
|---|---|---|
| Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Identify log data patterns and create visualizations for advanced analytics | 22% | - Distinguish the key concepts of Logging Analytics - Analyze, search, filter and visualize logs - Present advanced analytics and features for troubleshooting - Explore log ingestion methods for Logging Analytics |
| Respond to cloud resource changes in real-time | 10% | - Analyze the key concepts of Events Service - Determine Event Structure, Event Types and Rules - Respond to Events and integration with OCI services |
| Monitor applications with deep visibility into end-user experience | 20% | - Examine visualizing and analyzing performance data - Instrument applications for data collection - Explore the key concepts of Application Performance Monitoring (APM) |
| Monitor distributed components of an application stack | 7% | - Identify the key concepts of Stack Monitoring - Analyze discovering resources and monitoring with metrics |
| 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 |
| Centrally manage and visualize log data | 16% | - Distinguish log categories and enable log collection from sources - Create Connectors for Log Transitions - Explore managing and searching logs from the entire log estate |
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質問 # 12
As an IT administrator, you need to set up continuous and automatic log ingestion from an OCI compute instance to OCI Logging Analytics. Which method is recommended to meet this requirement?
正解：D
解説：
OCI Management Agent is the recommended mechanism for continuously collecting logs stored on a compute instance or another host. The agent runs on the log-emitting host and uses the Log Analytics plug-in to collect supported file, syslog, database, Windows event, REST API, and other log types. After the relevant entity, source, parser, and source-entity association are configured, the agent automatically sends new log records to Logging Analytics. Manual upload is intended for one-time or historical ingestion rather than continuous collection. The LogEvents API requires custom integration, while Service Connector is primarily used to ingest logs generated by OCI services through OCI Logging. Therefore, enabling OCI Management Agent provides the required continuous and automatic host-based ingestion workflow. Oracle documentation
質問 # 13
How does a user start collecting a specific log for an Entity in Logging Analytics?
正解：D
解説：
In OCI Logging Analytics, collecting logs for an Entity (a logical representation of a resource like a host or database) requires linking it to a Log Source.
* Create an Association of required Log Source with that Entity (B): This is the correct step. An association connects an Entity (e.g., a server) to a Log Source (e.g., Syslog), specifying where and how logs are collected. Once associated, Logging Analytics begins ingestion and parsing.
* Why not A, C, or D?
* Configure a path (A): The path is part of the Log Source definition, not the act of starting collection.
* Identify Fields (C): Field extraction is a post-collection step, not the initiation process.
* Enable a Parser (D): Parsers are embedded in Log Sources; enabling them is implicit in the association, not a separate step.
This association is the foundational action to enable log collection.
Reference: Logging Analytics Entities and Associations
質問 # 14
Which of the following statements is NOT valid regarding Management Agent Cloud Service?
正解：D
解説：
The Management Agent Cloud Service collects and transports data from resources to OCI services. Let's evaluate:
* Invalid statement: Can only transport data into AWS or GCS (A): This is false. Management Agents transport data to OCI services (e.g., Logging Analytics, Monitoring) or custom OCI endpoints, not AWS or Google Cloud Storage (GCS).
* Why B, C, and D are valid:
* Self-monitored (B): Agents monitor their own health and report to OCI.
* Transports to OCI services (C): Supports Logging Analytics, Monitoring, and custom OCI endpoints.
* On-demand operations (D): Allows tasks like metric collection or log uploads on demand.
Management Agents are OCI-centric, not limited to external clouds.
Reference: Management Agent Overview
質問 # 15
Which two functions are available for grouping data in the OCI Monitoring service?
正解：B、D
解説：
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
質問 # 16
Which pillars of Observability are available as a single view from the Dashboard?
正解：D
解説：
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
質問 # 17
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我々の1z0-1111-26問題集はIT認定試験に関連する豊富な経験を持っているIT専門家によって研究された最新バージョンの試験参考書です。この問題集は全面的で的中率が超高いです。我々の1z0-1111-26問題集はOracleのリーダーです。そのほかに、我々はお客様の立場で商品を開発するという目的を持っていますから、あなたに利便性をもたらすために、我々は大好評を博している1z0-1111-26問題集を開発しました。
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