Valid 1Z0-1111-25 Test Sample | 1Z0-1111-25 Latest 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	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	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 4	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 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	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 7	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.

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{Online Realistic} Oracle 1Z0-1111-25 Practice Test Questions

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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q37-Q42):

NEW QUESTION # 37
Which two components are optional while creating the Monitoring Query Language (MQL) expressions in the Oracle Cloud Infrastructure (OCI) Monitoring service? (Choose two.)

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

Answer: A,C

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 # 38
You need to find the Log Group from a Log line using Oracle Cloud Infrastructure (OCI) Logging Service. Which section within a Log contains the Log Group's OCID?

A. Unified Envelope
B. Data section
C. Oracle section
D. Source Section

Answer: A

Explanation:
In OCI Logging, logs are wrapped in a Unified Envelope:
Unified Envelope (D): Contains metadata like logGroupId (the OCID of the Log Group), timeCreated, and compartmentId. This identifies the Log Group for each log entry.
Why not A, B, or C?
Source Section (A): Indicates log origin, not the group OCID.
Data section (B): Holds the log content, not metadata like OCID.
Oracle section (C): Not a valid log section.
The Unified Envelope standardizes log metadata.

NEW QUESTION # 39
Which is the correct monitoring query that will monitor the CPU utilization threshold including an alarm?

A. cpuutilization[1m].max().grouping().sum()
B. (CpuUtilization[1m].max() > 80).grouping().sum()
C. CpuUtilization[1m](shape "VM.Standard.E4.Flex").max()
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 # 40
You are part of an organization with thousands of users accessing Oracle Cloud Infrastructure (OCI). An unknown user action was executed, resulting in configuration errors. You are tasked to quickly identify the details of all users who were active in the last six hours along with any REST API calls that were executed. Which OCI service would you use?

A. Service Connectors
B. Management Agent
C. Notifications
D. Logging
E. Audit

Answer: E

Explanation:
To investigate user activity and REST API calls over the last six hours, the OCI Audit service is the appropriate tool.
Audit (E): This service automatically records all API operations (including REST API calls) performed on OCI resources. It provides detailed logs with user details, timestamps, and actions, ideal for security and compliance investigations. You can filter audit logs by time range (e.g., last six hours) and user attributes.
Why not A, B, C, or D?
Notifications (A): Sends alerts but doesn't store or analyze API call details.
Service Connectors (B): Moves data between services, not for auditing.
Management Agent (C): Collects metrics/logs from resources, not API audit data.
Logging (D): Handles application and system logs, not API activity tracking.
Audit logs are retained for 90 days by default, making this a perfect fit.

NEW QUESTION # 41
In Application Performance Monitoring (APM), where is the span context information located during transfer?

A. In HTTP header
B. In HTTP call
C. In the service boundaries
D. In the browser and the microservices

Answer: A

Explanation:
In OCI APM, span context (e.g., Trace ID, Span ID) is propagated across services to track requests.
In HTTP header (B): Span context is embedded in HTTP headers (e.g., X-B3-TraceId) during transfer between services. This allows APM to correlate spans across distributed systems for a single user request.
Why not A, C, or D?
Service boundaries (A): This is a conceptual term, not a location for data.
HTTP call (C): Too vague-"HTTP call" isn't a specific storage location.
Browser and microservices (D): Context originates here but is transferred via headers, not stored locally during transit.
This follows the OpenTracing standard used by OCI APM.

NEW QUESTION # 42
......

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VALID 1Z0-1111-25 TEST SAMPLE | 1Z0-1111-25 LATEST EXAM

Valid 1Z0-1111-25 Test Sample | 1Z0-1111-25 Latest Exam