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| Section | Weight | Objectives |
|---|---|---|
| Identify log data patterns and create visualizations for advanced analytics | 22% | - Search, filter and visualize log data - Perform advanced log analytics and troubleshooting - Use Logging Analytics for log ingestion and analysis |
| Respond to cloud resource changes in real-time | 10% | - Determine Event Structure, Event Types and Rules - Respond to Events and integration with OCI services - Analyze the key concepts of Events Service |
| Monitor distributed components of an application stack | 7% | - Analyze infrastructure and application metrics - Discover and monitor distributed application components - Use Stack Monitoring |
| Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Centrally manage and visualize log data | 16% | - Manage logs using OCI Logging - Collect, search and analyze log data - Configure logging and log connectors |
| Monitor applications with deep visibility into end-user experience | 20% | - Use Application Performance Monitoring - Analyze application performance and end-user experience - Configure application instrumentation and data collection |
| Monitor cloud environments with metrics and alarms | 18% | - Discuss enabling Metrics for monitoring OCI resources - Configure Alarm Definitions using best practices - Explain the key concepts of Monitoring Service |
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NEW QUESTION # 17
You are using OCI Events with OCI Notifications to monitor the creation of compute instances and Object Storage buckets. Which pair of event types correctly matches these scenarios?
Answer: C
Explanation:
OCI Events identifies resource changes through service-specific event-type strings. Object Storage emits com.
oraclecloud.objectstorage.createbucket when a bucket is created. The updatebucket event instead represents a modification to an existing bucket and therefore does not match the first requirement. Compute emits com.
oraclecloud.computeapi.launchinstance.end when the launch operation has finished. A launchinstance.begin event indicates that the operation has started, not that instance creation is complete. An Events rule can match these event types and use an OCI Notifications topic as its action, allowing subscribed endpoints to receive messages when either operation occurs. Option C is the only choice that combines the correct Object Storage creation event with the completed Compute launch event. Oracle Object Storage events
NEW QUESTION # 18
You are part of a team that manages a set of workload instances running in an on-premises environment. The Architect team is tasked with designing and configuring Oracle Cloud Infrastructure (OCI) Logging service to collect logs from these instances. There is a requirement to archive Info-level logging data of these instances into OCI Object Storage. Which two features of OCI can help you achieve this? (Choose two.)
Answer: C,D
Explanation:
To collect logs from on-premises instances and archive Info-level logs in OCI Object Storage, you need tools for log ingestion and data movement:
* Service Connectors (A): This feature enables data transfer from OCI Logging (source) to Object Storage (target). You can configure a service connector with a filter (e.g., log level = Info) to archive only Info-level logs.
* ObjectCollection Rule (D): Part of Logging Analytics, this rule collects logs from Object Storage buckets into Logging Analytics for analysis. If logs are first written to Object Storage by an agent, this rule ensures continuous ingestion.
* Why not B or C?
* Agent Configuration (B): Used to set up Management Agents but doesn't handle archiving to Object Storage.
* Cloud Agent Plugin Grouping Function (C): This is not a valid OCI feature.
The workflow involves agents sending logs to Logging, Service Connectors filtering and moving them to Object Storage, and ObjectCollection Rules enabling further analysis.
Reference: Service Connector Hub , ObjectCollection Rule
NEW QUESTION # 19
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply. (Choose two.)
Answer: B,D
Explanation:
Reducing noise in Logging Analytics improves log analysis focus:
* Use parsed logs search (C): Searches based on extracted fields (e.g., severity=ERROR) filter out irrelevant logs, targeting specific issues.
* Use time-picker to limit the volume of logs (D): Narrows the time range (e.g., last hour), reducing the dataset to relevant periods.
* Why not A or B?
* Histogram records (A): Visualizes data distribution, not a noise reduction method.
* Specific keywords (B): Useful but less precise than parsed fields; raw text search isn't emphasized in Logging Analytics.
These methods enhance signal-to-noise ratio.
Reference: Logging Analytics Search
NEW QUESTION # 20
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?
Answer: C
Explanation:
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
NEW QUESTION # 21
How does a user start collecting a specific log for an Entity in Logging Analytics?
Answer: A
Explanation:
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
NEW QUESTION # 22
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