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| Section | Weight | Objectives |
|---|---|---|
| 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% | - Configure Alarm Definitions using best practices - Discuss enabling Metrics for monitoring OCI resources - Explain the key concepts of Monitoring Service |
| Respond to cloud resource changes in real-time | 10% | - Respond to Events and integration with OCI services - Analyze the key concepts of Events Service - Determine Event Structure, Event Types and Rules |
| Monitor applications with deep visibility into end-user experience | 20% | - Explore the key concepts of Application Performance Monitoring (APM) - Examine visualizing and analyzing performance data - Instrument applications for data collection |
| Centrally manage and visualize log data | 16% | - Create Connectors for Log Transitions - Distinguish log categories and enable log collection from sources - Explore managing and searching logs from the entire log estate |
| Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Identify log data patterns and create visualizations for advanced analytics | 22% | - Analyze, search, filter and visualize logs - Explore log ingestion methods for Logging Analytics - Distinguish the key concepts of Logging Analytics - Present advanced analytics and features for troubleshooting |
>> Exam 1z0-1111-26 Actual Tests <<
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NEW QUESTION # 77
How does Application Performance Monitoring track all related spans for a single user request?
Answer: C
Explanation:
APM tracks request flows using:
* Using Trace ID (A): A unique identifier assigned to a trace (collection of spans) for a single user request. Propagated via HTTP headers, it links all spans across services.
* Why not B or C?
* User ID (B): Identifies users, not request flows.
* Application Name (C): Too broad; doesn't correlate specific requests.
Trace ID ensures end-to-end visibility in distributed systems.
Reference: Traces and Spans
NEW QUESTION # 78
An OCI administrator wants to retrieve logs using the following query in OCI Logging Search: search
"compartmentOcid/logGroupOcid". What will this query return?
Answer: A
Explanation:
An OCI Logging search expression begins by identifying the log streams that form the search scope. Oracle defines the stream path as a compartment OCID, optionally followed by a log group name or OCID and then an optional log object name or OCID. Therefore, search "compartmentOcid/logGroupOcid" selects the logs contained in that particular log group within the specified compartment. Supplying only the compartment OCID would broaden the scope to the compartment, subject to the requester's permissions. Adding a third path component would restrict the search to one specific log object. The expression does not automatically search every compartment or log group in the tenancy. Consequently, option C correctly describes the scope established by the two-component compartment and log-group path. Oracle documentation
NEW QUESTION # 79
Which are the different data sources from where the Application Performance Monitoring (APM) Java agent can collect spans and metrics data?
Answer: D
Explanation:
The APM Java Agent collects telemetry from Java applications:
* Jaeger or Zipkin (C): These are open-source distributed tracing systems. The Java Agent can integrate with Jaeger- or Zipkin-compatible applications, collecting spans and metrics for APM analysis.
* Why not A, B, or D?
* NginX (A): A web server; APM uses other agents (e.g., Browser Agent) for such systems.
* WebLogic, etc. (B): Application servers, but not direct data sources; the agent collects from the app, not the server type.
* VMware ESXi (D): A hypervisor, unrelated to Java tracing.
Jaeger and Zipkin compatibility extends APM's reach.
Reference: APM Java Agent
NEW QUESTION # 80
Which TWO actions can be performed using the Database Management Service in Oracle Cloud Infrastructure (OCI)? (Choose two.)
Answer: B,D
Explanation:
Database Management Service provides advanced database oversight:
* Compare database performance across different time periods or perform real-time monitoring of SQL statements (C): Uses Performance Hub for historical and real-time SQL monitoring.
* Analyze and tune SQL performance issues of Oracle Databases on-premises, OCI, and multi-cloud environments (D): Offers SQL tuning across diverse deployments.
* Why not A or B?
* A and B: Capacity forecasting is an Operations Insights feature, not Database Management.
These actions enhance database performance management.
Reference: Database Management Capabilities
NEW QUESTION # 81
Which Logging Analytics concept represents an asset on your host that could provide log data?
Answer: D
Explanation:
In OCI Logging Analytics, a Source defines the origin of log data from an asset on a host.
* Source (B): Represents a log-generating asset (e.g., a file, database audit log, or Windows event log), specifying its location, format, and collection frequency. It's associated with an Entity to enable log ingestion and parsing.
* Why not A, C, or D?
* Association (A): Links a Source to an Entity, not the asset itself.
* Entity (C): A logical representation of a resource (e.g., a host), not the log source.
* Parser (D): Extracts fields from logs, not the asset providing data.
Sources are foundational to log collection in Logging Analytics.
Reference: Logging Analytics Sources
NEW QUESTION # 82
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