1Z0-1111-25 EXAM DUMPS & 1Z0-1111-25 PRACTICAL INFORMATION

1Z0-1111-25 Exam Dumps & 1Z0-1111-25 Practical Information

1Z0-1111-25 Exam Dumps & 1Z0-1111-25 Practical Information

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Oracle 1Z0-1111-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Respond to Cloud Resource Changes in Real-Time: This domain measures the skills of Event Managers and Integration Specialists in using OCI Events Service. It covers event structures, types, rules, and integration with other OCI services to respond effectively to resource changes and automate workflows.
Topic 2
  • 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.
Topic 3
  • 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.
Topic 4
  • Monitor Cloud Environments with Metrics and Alarms: This section tests Oracle Cloud Operators' knowledge of configuring OCI Monitoring Service. It includes enabling metrics for resource monitoring, setting up alarms based on best practices, and responding to real-time changes in cloud environments to ensure system reliability.

Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q29-Q34):

NEW QUESTION # 29
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)

  • A. Provides data based on a statistical analysis of AI data
  • B. Identifies future resource usage Oracle Cloud
  • C. Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations
  • D. Allows Oracle Enterprise Manager's operations data for various use-cases

Answer: C,D

Explanation:
The Observability Lakehouse in Operations Insights is a data repository for operational analytics:
Enables custom analytics (B): Supports trending (e.g., usage patterns), forecasting (e.g., resource needs), capacity planning, and workload profiling using advanced analytical tools, enhancing resource optimization.
Allows Oracle Enterprise Manager's data (D): Integrates operational data from Enterprise Manager (e.g., database metrics) for use cases like performance analysis and anomaly detection.
Why not A or C?
Statistical analysis of AI data (A): Too vague; Lakehouse focuses on operational data, not AI-specific stats.
Identifies future resource usage (C): Partial benefit of B, but not a standalone feature.
These capabilities improve operational decision-making.


NEW QUESTION # 30
Which answer best defines an Application Performance Monitoring (APM) Domain in Oracle Cloud Infrastructure (OCI)?

  • A. A compartment containing the data collected by APM
  • B. A resource type containing the systems monitored by APM
  • C. A collection of users, roles, and identity data managing access to APM
  • D. A set of resources supporting high-availability connectivity to APM

Answer: B

Explanation:
An APM Domain in OCI defines the monitoring scope for APM:
A resource type containing the systems monitored by APM (B): An APM Domain is a logical container for monitored systems (e.g., microservices, web servers, databases). It groups these resources for trace and metric collection, often separated by environment (e.g., dev, prod).
Why not A, C, or D?
Users, roles, identity (A): Relates to IAM, not APM Domains.
High-availability connectivity (C): Infrastructure concern, not an APM Domain's purpose.
Compartment (D): Compartments organize resources; APM Domains are specific to monitored systems within them.
APM Domains structure monitoring efforts effectively.


NEW QUESTION # 31
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.)

  • A. Agent Configuration
  • B. ObjectCollection Rule
  • C. Cloud Agent Plugin Grouping Function
  • D. Service Connectors

Answer: B,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.


NEW QUESTION # 32
Which is the correct monitoring query that will monitor the CPU utilization threshold including an alarm?

  • A. CpuUtilization[1m](shape "VM.Standard.E4.Flex").max()
  • B. (CpuUtilization[1m].max() > 80).grouping().sum()
  • C. cpuutilization[1m].max().grouping().sum()
  • D. CpuUtilization[1m].max()

Answer: B

Explanation:
An MQL query for an alarm must evaluate a condition:
(CpuUtilization[1m].max() > 80).grouping().sum() (B):
CpuUtilization[1m]: Queries CPU utilization over 1-minute intervals.
.max(): Takes the maximum value per interval.
> 80: Sets a threshold (80%).
.grouping().sum(): Aggregates across metric streams, triggering the alarm if the sum exceeds 80%.
This is a complete alarm query.
Why not A, C, or D?
A: Filters by shape but lacks a threshold or alarm condition.
C: Missing condition for alarming.
D: No threshold; case sensitivity doesn't match OCI convention.
B ensures threshold-based alerting.


NEW QUESTION # 33
Which two are use cases of Oracle Cloud Infrastructure (OCI) Events Service? (Choose two.)

  • A. Perform configuration management for deploying, configuring, and managing servers
  • B. Process files when they are uploaded in an Object Storage bucket
  • C. Perform cleanup tasks when an OCI resource is terminated
  • D. Migrate Events generated by OCI resources from a Source to Target services

Answer: B,C

Explanation:
The OCI Events Service enables event-driven automation by reacting to changes in OCI resources. Two valid use cases are:
Process files when they are uploaded in an Object Storage bucket (A): You can create an event rule to trigger an action (e.g., invoking an Oracle Function) when an object is created (com.oraclecloud.objectstorage.createobject). The function could process the file (e.g., image resizing).
Perform cleanup tasks when an OCI resource is terminated (B): An event rule can detect resource termination (e.g., com.oraclecloud.computeapi.terminateinstance.end) and trigger a function to clean up associated resources (e.g., delete volumes).
Why not C or D?
Migrate Events (C): Events Service doesn't "migrate" events; it triggers actions. Migration is more aligned with Service Connector Hub.
Configuration management (D): This is handled by services like Resource Manager or Ansible, not Events Service.
These use cases showcase the service's ability to automate workflows based on resource state changes.


NEW QUESTION # 34
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