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Oracle 1Z0-1111-25 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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.
Topic 3	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 4	Summarize OCI Observability and Management Services: This section evaluates the expertise of DevOps Engineers and IT Operations Managers in utilizing Oracle Cloud Infrastructure (OCI) Observability and Management services. It covers tools for monitoring, auditing, and managing cloud resources, emphasizing automation and machine learning-driven insights to optimize IT operations.
Topic 5	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.

Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q10-Q15):

NEW QUESTION # 10
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. IAM policy
B. Logging Query
C. ObjectCollectionRule
D. Service Connector

Answer: D

Explanation:
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.

NEW QUESTION # 11
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply. (Choose two.)

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

Answer: A,C

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.

NEW QUESTION # 12
Which two components are optional while creating the Monitoring Query Language (MQL) expressions in the Oracle Cloud Infrastructure (OCI) Monitoring service? (Choose two.)

A. Statistic
B. Metric
C. Dimensions
D. Grouping Function
E. Interval
F. Previous

Answer: A,D

Explanation:
MQL expressions in OCI Monitoring retrieve and process metric data. Optional components include:
Statistic (B): Specifies how to summarize data (e.g., avg, max). If omitted, raw data is returned.
Grouping Function (D): Aggregates data across metric streams (e.g., by resourceId). It's optional if no grouping is needed.
Why not A, C, E, or F?
Interval (A): Defines the time window; defaults apply if omitted, but it's typically required for meaningful queries.
Previous (C): Not a standard MQL component (possibly a typo).
Metric (E): Mandatory to specify what's being queried.
Dimensions (F): Filters data; required if specific streams are targeted, though optional in basic queries.
Statistic and Grouping Function enhance flexibility but aren't mandatory.

NEW QUESTION # 13
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?

A. Object Store Bucket
B. Object Store
C. Object Storage
D. ObjectCollection Rule

Answer: D

Explanation:
For continuous log ingestion from Object Storage:
ObjectCollection Rule (A): A Logging Analytics feature that monitors Object Storage buckets and ingests logs based on defined patterns (e.g., bucket name, object prefix). It's designed for this purpose.
Why not B, C, or D?
Object Store (B), Object Storage (C), Object Store Bucket (D): These refer to the storage service or its components, not a method for log ingestion.
ObjectCollection Rule ensures automated, ongoing log collection.

NEW QUESTION # 14
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)

A. Which Management Agents to use
B. Which Parsers to use
C. Where to find Logs
D. Where to store Log data

Answer: B,C

Explanation:
A Log Source in Logging Analytics defines how logs are collected and processed:
Which Parsers to use (A): Specifies the parsers (e.g., Syslog, JSON) that extract fields from logs, enabling structured analysis.
Where to find Logs (C): Defines the log location (e.g., file path /var/log/messages, database connection string), directing the collection process.
Why not B or D?
Where to store Log data (B): Storage is managed by Logging Analytics, not defined in the Source.
Which Management Agents to use (D): Agents are associated with Entities, not specified in the Source.
These elements configure log ingestion effectively.

NEW QUESTION # 15
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PASS GUARANTEED ORACLE - HIGH HIT-RATE 1Z0-1111-25 - ORACLE CLOUD INFRASTRUCTURE 2025 OBSERVABILITY PROFESSIONAL RELIABLE DUMP

Pass Guaranteed Oracle - High Hit-Rate 1Z0-1111-25 - Oracle Cloud Infrastructure 2025 Observability Professional Reliable Dump