Free PDF Quiz 2025 Oracle Authoritative 1Z0-1111-25: Oracle Cloud Infrastructure 2025 Observability Professional Mock Exam

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Oracle 1Z0-1111-25 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
Topic 3	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 4	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 5	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.

Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q38-Q43):

NEW QUESTION # 38
Which Logging Analytics concept represents an asset on your host that could provide log data?

A. Association
B. Entity
C. Source
D. Parser

Answer: C

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.

NEW QUESTION # 39
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. Service Connector
B. ObjectCollectionRule
C. IAM policy
D. Logging Query

Answer: A

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 # 40
Which Machine Learning-based visualization is helpful in analyzing extremely large volumes of log records by grouping them based on their shape?

A. Cluster
B. Summary Table
C. Word Cloud

Answer: A

Explanation:
In Logging Analytics, ML-driven visualizations aid log analysis:
Cluster (A): Uses machine learning to group logs by structural similarity ("shape"), reducing noise and highlighting patterns or anomalies in large datasets.
Why not B or C?
Summary Table (B): Aggregates data tabularly, not ML-based or shape-focused.
Word Cloud (C): Displays word frequency, not structural grouping.
Cluster is ideal for large-scale log pattern recognition.

NEW QUESTION # 41
Which of the following statements is NOT valid regarding Management Agent Cloud Service?

A. Management Agent Cloud Service transports customer data to Logging Analytics, OCI Monitoring, or even a custom endpoint hosted in OCI.
B. Management Agent Cloud Service allows OCI services to collect data from on-premises and cloud assets, except that it can only transport data into AWS or GCS.
C. Management Agent Cloud Service enables on-demand execution of operations against monitored resources.
D. Management Agent Cloud Service is self-monitored.

Answer: B

Explanation:
The Management Agent Cloud Service collects and transports data from resources to OCI services. Let's evaluate:
Invalid statement: Can only transport data into AWS or GCS (A): This is false. Management Agents transport data to OCI services (e.g., Logging Analytics, Monitoring) or custom OCI endpoints, not AWS or Google Cloud Storage (GCS).
Why B, C, and D are valid:
Self-monitored (B): Agents monitor their own health and report to OCI.
Transports to OCI services (C): Supports Logging Analytics, Monitoring, and custom OCI endpoints.
On-demand operations (D): Allows tasks like metric collection or log uploads on demand.
Management Agents are OCI-centric, not limited to external clouds.

NEW QUESTION # 42
What is the correct logging CLI syntax for the log search with a query for REST call responses having status code 400, within the web Log Group and the application Log?

A. oci logging-search search-logs --search-query 'search "ocid1.compartment.oc1..aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz/web/application" --time-start 2022-02-06T00:00:00Z --time-end 2022-02-07T00:00:00Z
B. oci logging-search search-logs --search-query 'search "ocid1.compartment.oc1..aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz/web/application" | where data.statusCode = 400' --time-start 2022-02-06T00:00:00Z --time-end 2022-02-07T00:00:00Z
C. oci log search search-logs --loggroup "web" --log "application" --search-query 'search "ocid1.compartment.oc1..aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz" where data.statusCode = 400' --time-start 2022-02-06T00:00:00Z --time-end 2022-02-07T00:00:00Z
D. oci logging-search search-logs --search-query 'search "ocid1.compartment.oc1..aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz" | where data.statusCode 400' --time-start 2022-02-06T00:00:00Z --time-end 2022-02-07T00:00:00Z

Answer: B

Explanation:
The correct OCI CLI syntax for searching logs must include the compartment, log group, log, and query:
B: oci logging-search search-logs --search-query 'search "ocid1.compartment.oc1..aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz/web/application" | where data.statusCode = 400' --time-start 2022-02-06T00:00:00Z --time-end 2022-02-07T00:00:00Z Specifies the compartment OCID, web Log Group, and application Log in the scope path.
Filters for data.statusCode = 400 using proper syntax (= instead of space).
Includes valid UTC time range.
Why not A, C, or D?
A: Missing log group/log; incorrect filter syntax (400 without =).
C: No filter for status code 400.
D: Incorrect command (oci log instead of oci logging-search); redundant parameters.
B aligns with OCI Logging's search syntax.

NEW QUESTION # 43
......

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Free PDF Quiz 2025 Oracle Authoritative 1Z0-1111-25: Oracle Cloud Infrastructure 2025 Observability Professional Mock Exam

Valid 1Z0-1111-25 Test Vce | Reliable 1Z0-1111-25 Exam Preparation

Oracle 1Z0-1111-25 Exam Syllabus Topics:

Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q38-Q43):

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