1z0-1111-25 Dumps with Practice Exam Questions Answers

The OCI Events Service enables event-driven automation by reacting to changes in OCI resources. Two valid use cases are:

Process files when they are uploaded in an Object Storage bucket (A): You can create an event rule to trigger an action (e.g., invoking an Oracle Function) when an object is created (com.oraclecloud.objectstorage.createobject). The function could process the file (e.g., image resizing).

Perform cleanup tasks when an OCI resource is terminated (B): An event rule can detect resource termination (e.g., com.oraclecloud.computeapi.terminateinstance.end) and trigger a function to clean up associated resources (e.g., delete volumes).

Why not C or D?

Migrate Events (C): Events Service doesn’t “migrate” events; it triggers actions. Migration is more aligned with Service Connector Hub.

Configuration management (D): This is handled by services like Resource Manager or Ansible, not Events Service.

These use cases showcase the service’s ability to automate workflows based on resource state changes.

FluentD is an open-source data collector used for continuous log collection with client-side processing in OCI Logging. Two applicable scenarios are:

Managing apps/services which push logs to Object Storage (A): FluentD can be configured to collect logs from applications or services (e.g., Oracle Functions) that write logs to Object Storage buckets. It processes these logs client-side and forwards them to OCI Logging or Logging Analytics.

Comprehensive monitoring for OKE/Kubernetes (B): FluentD is widely used in Kubernetes environments like Oracle Container Engine for Kubernetes (OKE) to collect logs from pods, containers, and nodes. It processes these logs locally before sending them to OCI services for analysis.

Why not C or D?

Monitoring unsupported systems (C): While possible, this is not a primary FluentD scenario in OCI—it’s more about extending Management Agent capabilities.

Log Source (D): This is a component of Logging Analytics, not a FluentD scenario.

FluentD’s flexibility makes it ideal for these use cases in OCI’s observability ecosystem.

A reliable log monitoring environment filters signal from noise:

Noise baseline determination (B): Establishes the typical level of irrelevant log data, allowing filters (e.g., severity levels) to focus on meaningful events, improving monitoring effectiveness.

Why not A, C, or D?

A: ML models are advanced, not essential for baseline setup.

C: KPIs are useful but secondary to noise reduction.

D: Permissions are administrative, not core to reliability.

Noise baseline is foundational.

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.

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.