1Z0-1111-25 Übungsfragen: Oracle Cloud Infrastructure 2025 Observability Professional & 1Z0-1111-25 Dateien Prüfungsunterlagen

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1Z0-1111-25 Zertifizierung, 1Z0-1111-25 Antworten

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Oracle 1Z0-1111-25 Prüfungsplan:

Thema	Einzelheiten
Thema 1	Monitor Applications with Deep Visibility into End-User Experience: This domain tests the knowledge of Application Performance Engineers and DevOps Specialists in using OCI Application Performance Monitoring (APM). It includes instrumenting applications for data collection, analyzing performance metrics, visualizing distributed application components, and diagnosing issues across multi-tier architectures.
Thema 2	Distinguish the Key Concepts of Logging Analytics: This section evaluates the expertise of Data Analysts and Troubleshooting Specialists in using OCI Logging Analytics. It covers log ingestion methods, searching and filtering logs, performing advanced analytics, and leveraging machine learning-powered insights for proactive issue resolution.
Thema 3	Define the Pillars of Observability: This section of the exam measures the skills of Cloud Architects and Site Reliability Engineers (SREs) in understanding the three pillars of observability: logs, metrics, and traces. It explains how these components provide insights into system health and performance, enabling effective monitoring and troubleshooting in distributed cloud environments.
Thema 4	Monitor Distributed Components of an Application Stack: This section measures the skills of Stack Monitoring Specialists and Cloud Administrators in using OCI Stack Monitoring. It covers discovering resources within application stacks, monitoring metrics across distributed components, and ensuring optimal performance through effective resource management.

Oracle Cloud Infrastructure 2025 Observability Professional 1Z0-1111-25 Prüfungsfragen mit Lösungen (Q48-Q53):

48. Frage
Your on-premises private cloud environment consists of virtual machines hosting a set of application servers. These VMs are currently monitored using a 3rd party monitoring tool for resource metrics such as CPU and Memory utilization. You have created an automation workflow to transform these application servers into Oracle Cloud Infrastructure (OCI) which will deploy a set of new compute instances. There are a few requirements to consider while running this task: Ensure continuous monitoring is enabled, so the current monitored resource metrics are continuously collected and reported; Monitor the completion of Compute Instance deployment during the workflow and notify with email on each execution; Notify with email for any new OCI Object Storage buckets created after the migration workflow. What solution would you recommend to achieve these requirements?

A. Configure both 3rd party monitoring tool and OCI Compute Agent on OCI compute instances to collect required resource metrics. Use OCI Events service (com.oraclecloud.computeapi.launchinstance.end) with Notifications service to track and notify all changes occurring in the target OCI environment.
B. Configure OCI Compute agent on OCI compute instances to collect required resource metrics. Use OCI Events and Functions services to track the Instance deployment (com.oraclecloud.computeapi.launchinstance.end) and creation of new buckets (com.oraclecloud.objectstorage.createbucket). Use OCI Notifications and Events service to notify these changes.
C. Configure OCI Compute agent on on-premises VMs and OCI compute instances to collect required resource metrics. Use OCI Events service to track the end-to-end deployment process (com.oraclecloud.computeapi.launchinstance.end) and creation of new bucket (com.oraclecloud.objectstorage.createbucket). Use OCI Notifications and Events services to notify these changes.
D. Configure OCI Compute agent on on-premises VMs to collect required resource metrics. Use OCI Events service to track all deployments (com.oraclecloud.computeapi.launchinstance.end) with OCI Notifications service to track and report all changes occurring in the target environment.

Antwort: C

Begründung:
The solution must address continuous monitoring and event-driven notifications:
D:
OCI Compute agent on on-premises VMs and OCI instances: Ensures metric continuity (e.g., CPU, memory) across the migration, using Management Agents for both environments.
Events service: Tracks launchinstance.end for deployment completion and createbucket for new buckets.
Notifications and Events: Sends email alerts for these events.
Why not A, B, or C?
A: Misses on-premises monitoring continuity.
B: Lacks bucket creation tracking.
C: Redundant 3rd-party tool use; OCI agents suffice.
D provides end-to-end coverage.

49. Frage
You are part of the Cloud Operations team managing thousands of compute instances running in Oracle Cloud Infrastructure (OCI). The OCI Logging Service is configured to collect logs from these instances using a Unified Monitoring Agent. A requirement has been created to archive logging data into OCI Object Storage. Which OCI capability can help you achieve this requirement?

A. Logging Query
B. ObjectCollectionRule
C. Service Connector
D. IAM policy

Antwort: C

Begründung:
To archive logs from OCI Logging Service to Object Storage, an automated data movement solution is needed:
Service Connector (A): Part of Service Connector Hub, this capability moves data between OCI services. A Service Connector can be configured with Logging as the source and Object Storage as the target, automatically transferring logs based on filters (e.g., log level) or schedules.
Why not B, C, or D?
ObjectCollectionRule (B): Used in Logging Analytics to ingest logs from Object Storage, not archive to it.
IAM policy (C): Governs permissions but doesn't perform data movement.
Logging Query (D): Analyzes logs within Logging Service, not for archiving.
Service Connector ensures seamless, scalable log archiving.

50. Frage
Which of the following is required to enable Stack Monitoring?

A. User group for VCN collection
B. Machine Learning group for resource associations
C. Dynamic group for discovery service

Antwort: C

Begründung:
To enable Stack Monitoring:
Dynamic group for discovery service (A): A dynamic group defines resources (e.g., compute instances) that Stack Monitoring can discover and monitor. A policy granting permissions to this group is also required.
Why not B or C?
Machine Learning group (B): Not a valid OCI concept for Stack Monitoring.
User group for VCN collection (C): User groups manage human access, not service discovery.
This setup ensures Stack Monitoring can access and monitor resources.

51. Frage
Which is a valid Log Category name in Oracle Cloud Infrastructure (OCI) Logging Service?

A. VCN Logs
B. System Logs
C. OCI Agent Logs
D. Custom Logs

Antwort: D

Begründung:
In OCI Logging Service, Log Categories classify logs based on their origin or purpose.
Custom Logs (D): This is a valid Log Category for logs generated by user applications or services not natively integrated with OCI. Custom Logs are collected using agents, SDKs, or APIs and are user-defined.
Why not A, B, or C?
VCN Logs (A): Virtual Cloud Network (VCN) flow logs exist, but "VCN Logs" isn't a formal Log Category; it's a type of service log.
OCI Agent Logs (B): Agent logs are internal to Management Agents, not a user-facing Log Category.
System Logs (C): While system logs exist in some contexts, OCI Logging uses specific categories like "Audit Logs" or "Service Logs," not a generic "System Logs."
"Custom Logs" is explicitly supported for user-generated log data.

52. Frage
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply. (Choose two.)

A. Use specific keywords
B. Use parsed logs search
C. Use histogram records
D. Use time-picker to limit the volume of logs

Antwort: B,D

Begründung:
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.

53. Frage
......

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1Z0-1111-25 Übungsfragen: Oracle Cloud Infrastructure 2025 Observability Professional & 1Z0-1111-25 Dateien Prüfungsunterlagen

1Z0-1111-25 Zertifizierung, 1Z0-1111-25 Antworten

Oracle 1Z0-1111-25 Prüfungsplan:

Oracle Cloud Infrastructure 2025 Observability Professional 1Z0-1111-25 Prüfungsfragen mit Lösungen (Q48-Q53):

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