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Oracle 1z0-1111-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: OCI Monitoring and Metrics30%- Metric queries, dashboards, and visualization
- Monitoring service concepts and metrics collection
Topic 2: Alarms and Notifications25%- Alarm configuration, thresholds, and status
- Notifications service and integration patterns
Topic 3: Logging and Log Analytics25%- OCI Logging service and log management
- Logging Analytics: ingestion, parsing, and analytics
Topic 4: Application Performance Monitoring and Distributed Tracing20%- APM setup, instrumentation, and end-user monitoring
- Distributed tracing, diagnostics, and troubleshooting

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Oracle Cloud Infrastructure Observability Professional Sample Questions (Q35-Q40):

NEW QUESTION # 35
You are configuring OCI Logging to collect logs from custom applications running on Compute instances.
What is the primary purpose of creating an Agent Configuration?

Answer: A

Explanation:
An OCI Logging Agent Configuration centrally defines how custom logs are collected across a fleet of supported Compute instances. It identifies the applicable hosts through user groups or dynamic groups, specifies the log inputs to monitor-such as file paths or Windows event channels-and selects the destination custom log and log group. It can also define parsing options and enable operational metrics for monitoring the Unified Monitoring Agent. The configuration does not allocate Object Storage or other storage capacity when log volume grows. Although OCI protects log data using platform security controls, the primary purpose of the Agent Configuration is not to perform client-side encryption. Its main role is to connect selected hosts, input definitions, parsing behavior, and log destinations in one centrally managed collection policy. Oracle documentation


NEW QUESTION # 36
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?

Answer: A

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.
Reference: OCI Audit Service


NEW QUESTION # 37
Which statement is true about OCI Logging versus OCI Logging Analytics?

Answer: C

Explanation:
OCI Logging is a fully managed service that centralizes service logs, custom logs, and other logs generated by OCI resources. It supports log enablement, management, searching, and integration with services such as Service Connector Hub, Functions, Streaming, Monitoring, and Notifications. OCI Logging Analytics provides broader analytical capabilities for logs originating from OCI, on-premises infrastructure, and multicloud environments. It can index, enrich, aggregate, correlate, visualize, and monitor log data while applying machine learning techniques for clustering, anomaly detection, and operational analysis. Logging Analytics is therefore not the same service as OCI Logging, and OCI Logging is not limited to archiving.
Option C most accurately distinguishes the operational log-management service from the advanced log- analysis platform. Oracle documentation


NEW QUESTION # 38
To better manage resource utilization in your environment, you decide to notify your team whenever a new compute instance is created. What should you create to accomplish this task?

Answer: A

Explanation:
OCI Events is designed to detect resource-state changes and trigger defined actions. An Events rule can match the Compute service's Instance - Launch End event, represented by com.oraclecloud.computeapi.
launchinstance.end, and deliver the event to a Notifications topic. The topic then forwards a message to its confirmed subscriptions, such as email or HTTPS endpoints. An autoscaling policy creates or removes instances according to performance criteria, but it does not satisfy the requirement to notify the team about every newly created instance. A Monitoring query evaluates metric data emitted by existing resources and is not the appropriate mechanism for detecting completion of a resource-creation API operation. Therefore, an Events rule using the Launch End event and a Notifications action is the correct solution. Oracle Events documentation


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

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.
Reference: Creating Alarms with MQL


NEW QUESTION # 40
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