1z0-1111-25 Practice Exam Questions with Answers Oracle Cloud Infrastructure 2025 Observability Professional Certification

The Management Agent Cloud Service collects and transports data from resources to OCI services. Let’s evaluate:

Invalid statement: Can only transport data into AWS or GCS (A): This is false. Management Agents transport data to OCI services (e.g., Logging Analytics, Monitoring) or custom OCI endpoints, not AWS or Google Cloud Storage (GCS).

Why B, C, and D are valid:

Self-monitored (B): Agents monitor their own health and report to OCI.

Transports to OCI services (C): Supports Logging Analytics, Monitoring, and custom OCI endpoints.

On-demand operations (D): Allows tasks like metric collection or log uploads on demand.

Management Agents are OCI-centric, not limited to external clouds.

For analytics, the data source must provide detailed, actionable information.

Database Audit Logs (C): These logs contain rich data like user actions, SQL queries, timestamps, and security events, making them ideal for performance, security, and compliance analysis in Logging Analytics.

Why not A, B, or D?

Entity types (A): These are metadata definitions, not data for analytics.

Log Sources (B): These are configurations for log parsing, not the logs themselves.

Logging Analytic Entities (D): Entities are resource representations, not the data content.

Database Audit Logs offer the depth needed for meaningful insights.

In APM, a vantage point is used in:

Synthetic Monitoring (D): Runs tests from specific locations (vantage points) to monitor web application or API availability and performance globally.

Why not A, B, or C?

Java Management (A): Unrelated to vantage points.

Distributed Tracing (B): Tracks internal request flows, not external tests.

Application Insights (C): Not a formal APM feature; vague term.

Vantage points simulate user access from different regions.

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.

A Log Source in Logging Analytics defines how logs are collected and processed:

Which Parsers to use (A): Specifies the parsers (e.g., Syslog, JSON) that extract fields from logs, enabling structured analysis.

Where to find Logs (C): Defines the log location (e.g., file path /var/log/messages, database connection string), directing the collection process.

Why not B or D?

Where to store Log data (B): Storage is managed by Logging Analytics, not defined in the Source.

Which Management Agents to use (D): Agents are associated with Entities, not specified in the Source.

These elements configure log ingestion effectively.

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 typicallyrequired 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.

Stack Monitoring tracks application stack components:

WebLogic Servers (B): Monitors performance and health of WebLogic instances.

Oracle External Databases (C): Tracks on-premises or cloud Oracle databases outside OCI’s native DBaaS.

Why not A or D?

Object Storage Buckets (A): Not supported by Stack Monitoring; use Logging instead.

Virtual Cloud Networks (D): Network monitoring is separate (e.g., VCN Flow Logs).

These align with Stack Monitoring’s focus on application stacks.

To create a rule in the OCI Events Service, you need to define what triggers the rule and what happens when it’s triggered. The two required components are:

Actions (B): These specify the tasks to perform when an event matches the rule (e.g., invoking a function, sending a notification, or streaming to a service). Without an action, the rule has no effect.

Rule Conditions (C): These define the criteria for matching events (e.g., event type like com.oraclecloud.computeapi.launchinstance.end or resource attributes). Conditions filter which events trigger the rule.

Why not A, D, or E?

Management Agent Cloud Service (A): This is unrelated to Events Service rules; it’s for monitoring resources.

Install Key (D): This is used for agent installation, not event rules.

Service Connector (E): While it can work with Events Service, it’s a separate service and not a required component of an event rule itself.

These two elements form the core of an OCI Events Service rule, enabling event-driven automation.

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.

In OCI Logging Analytics, a Source defines the origin of log data from an asset on a host.

Source (B): Represents a log-generating asset (e.g., a file, database audit log, or Windows event log), specifying its location, format, and collection frequency. It’s associated with an Entity to enable log ingestion and parsing.

Why not A, C, or D?

Association (A): Links a Source to an Entity, not the asset itself.

Entity (C): A logical representation of a resource (e.g., a host), not the log source.

Parser (D): Extracts fields from logs, not the asset providing data.

Sources are foundational to log collection in Logging Analytics.

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.

The Database Management Service enhances database oversight:

Monitor database performance (B): Provides tools like Performance Hub to track real-time and historical metrics (e.g., CPU, I/O).

Perform management tasks across a group of databases (C): Database Fleet Management enables bulk operations (e.g., configuration checks, SQL execution) across multiple databases.

Why not A or D?

A: Log viewing is via Logging Service, not a core DM feature.

D: SQL analysis is in Operations Insights, not DM directly.

These capabilities streamline database administration.

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.