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Oracle 1Z0-1111-25 Exam Questions
- Oracle Cloud Certifications
- Oracle Cloud Infrastructure Certifications
- Topic 1: 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 2: 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 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: Centrally Manage and Visualize Log Data: This section assesses the abilities of Logging Analysts and Security Engineers in managing logs across an entire IT environment. It includes enabling log collection, creating connectors for log transitions, identifying log patterns, and visualizing logs for advanced analytics using OCI Logging Service.
- Topic 6: 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 7: 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 8: 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.
Free Oracle 1Z0-1111-25 Exam Actual Questions
Note: Premium Questions for 1Z0-1111-25 were last updated On Mar. 19, 2025 (see below)
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply. (Choose two.)
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.
Which Machine Learning-based visualization is helpful in analyzing extremely large volumes of log records by grouping them based on their shape?
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.
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?
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.
Which TWO Observability and Management (O&M) services are supported by Management Agent? (Choose two.)
Management Agents collect and send data to OCI services:
Logging Analytics (B): Agents gather log data from various sources (e.g., files, databases) and send it to Logging Analytics for indexing and analysis.
Enterprise Manager (C): Agents integrate with Oracle Enterprise Manager, enabling monitoring of on-premises or cloud targets within OCI.
Why not A or D?
Application Performance Management (A): Uses Java and Browser Agents, not Management Agents.
Database Management (D): Leverages agents indirectly via other services, not a direct target.
These services leverage Management Agents for observability.
You have configured an Alarm Definition in the Oracle Cloud Infrastructure (OCI) Monitoring service to send notifications through email. The alarm should resend notifications at specified intervals if the alarm continues to be in the firing state. A subscriber in the Notifications Topic complains about not receiving multiple emails upon failures. Which of the following could be the possible cause of this issue?
For repeated notifications in OCI Monitoring:
Repeat notification was not enabled while creating the Alarm (B): The ''Repeat Notification'' option must be enabled in the alarm definition, specifying an interval (e.g., every 5 minutes). If disabled, only one notification is sent when the alarm fires, explaining the subscriber's issue.
Why not A, C, or D?
A: False; OCI supports repeat notifications if configured.
C: Trigger condition is mandatory for any alarm; this isn't the issue.
D: Notification frequency isn't tied to metric streams, only the repeat setting.
Repeat Notification ensures ongoing alerts.
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