1Z0-1111-25 EXAM SAMPLE ONLINE & NEW 1Z0-1111-25 EXAM SIMULATOR

1Z0-1111-25 Exam Sample Online & New 1Z0-1111-25 Exam Simulator

1Z0-1111-25 Exam Sample Online & New 1Z0-1111-25 Exam Simulator

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Oracle 1Z0-1111-25 Exam Syllabus Topics:

TopicDetails
Topic 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.
Topic 2
  • 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 3
  • 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 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
  • 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 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 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 two examples of a Stack Monitoring deployment model? (Choose two.)

  • A. Resources running on OCI compute instances
  • B. Resources running on Management Gateway
  • C. Resources running on-premises
  • D. Resources running on a network appliance

Answer: A,C

Explanation:
Stack Monitoring monitors application stacks across environments:
Resources running on OCI compute instances (B): Monitors components (e.g., WebLogic, databases) on OCI VMs using Management Agents.
Resources running on-premises (D): Tracks on-premises resources (e.g., Oracle Databases) via Enterprise Manager Bridge or agents.
Why not A or C?
A: Management Gateway is a proxy, not a resource host.
C: Network appliances aren't typical Stack Monitoring targets.
These models cover cloud and on-premises stacks.


NEW QUESTION # 30
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)

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

Answer: A,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 # 31
Which of the following capabilities does the performance management feature of Database Management Services offer to a managed database?

  • A. Dynamically modifies database initialization parameters to improve performance
  • B. Visualizes and performs trend analysis from AWR data to detect issues using AWR Explorer
  • C. Automatically invokes full stats gathering of objects to improve performance of regressed SQLs

Answer: B

Explanation:
The performance management feature in Database Management leverages AWR data:
Visualizes and performs trend analysis from AWR data to detect issues using AWR Explorer (B): AWR Explorer displays Automatic Workload Repository data, enabling trend analysis and issue detection (e.g., performance bottlenecks).
Why not A or C?
A: Stats gathering is manual or scheduled, not automatic in this context.
C: Parameter changes require user intervention, not dynamic automation.
AWR Explorer is key for performance insights.


NEW QUESTION # 32
Which of the following details stored in the External Database service's database connection resource are required to connect to an external database?

  • A. DNS hostname, port, service name, network protocol, connection type and management agent OCID, user credentials, and role
  • B. Port, service name, connection type and management agent OCID, user credentials, and role
  • C. DNS hostname, database name, connection type and management agent OCID, user credentials, and role
  • D. Port, database name, connection type and management agent OCID, user credentials, and role

Answer: C

Explanation:
Connecting to an external database via OCI's External Database service requires specific connection details:
DNS hostname, database name, connection type and management agent OCID, user credentials, and role (C):
DNS hostname: The fully qualified domain name of the database host.
Database name: Unique identifier of the database.
Connection type: Protocol (e.g., JDBC, OCI).
Management agent OCID: Identifier of the agent on the host.
User credentials: Username and password.
Role: Privilege level (e.g., SYSDBA).
These are the minimum required fields for secure connectivity.
Why not A, B, or D?
A: Missing DNS hostname, critical for locating the host.
B: Missing DNS hostname; port alone isn't sufficient.
D: Includes extras (e.g., port, network protocol) that are optional or inferred.
This ensures accurate database connectivity.


NEW QUESTION # 33
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" | where data.statusCode = 400' --time-start 2022-02-06T00:00:00Z --time-end 2022-02-07T00:00:00Z
  • B. 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
  • C. 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
  • D. 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

Answer: A

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 # 34
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