1z0-1111-25 Exam Dumps - Oracle Cloud Infrastructure Questions and Answers

APM uses specific metric namespaces to categorize its telemetry data:

oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring (D):

oracle_apm_rum: Metrics from Real User Monitoring (e.g., page load times).

oracle_apm_synthetics: Metrics from Synthetic Monitoring (e.g., test response times).

oracle_apm_monitoring: Metrics from distributed tracing (e.g., span counts).These namespaces align with APM’s three core features.

Why not A, B, or C?

A: Individual metric names, not namespaces.

B: Incomplete and incorrect namespace naming.

C: Mixes metric types with partial namespace names.

These namespaces enable targeted metric queries in OCI Monitoring.

The Management Agent solution comprises:

Management Gateway (B): A secure proxy that encrypts and forwards data from Management Agents to OCI services.

Management Agent (D): A lightweight process that collects and sends telemetry data from resources.

Why not A or C?

OCI Logging Analytics (A): A consumer of agent data, not a component of the solution.

Cloud assets (C): A vague term, not a specific component.

These components enable secure data collection.

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.

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.

In OCI Stack Monitoring, once Management Agents are deployed and resources (e.g., databases, applications) are discovered, the immediate next step is the collection of metric data.

Metric data is immediately collected (A): Management Agents are lightweight processes that continuously collect performance and health metrics from discovered resources (e.g., CPU usage, memory utilization) and send them to OCI services like Monitoring or Stack Monitoring. This data becomes available for visualization and analysis right after discovery.

Why not B, C, or D?

Alarm rules (B): Alarms are configured separately in the OCI Monitoring service and only trigger after metric data is collected and thresholds are breached—not an immediate post-discovery action.

Resource discovery (C): Discovery happensbeforethis stage, as the question assumes resources are already discovered. Agents don’t rediscover resources post-setup.

Notifications (D): Notifications require separate configuration (e.g., via the Notifications service) and are not an automatic outcome of agent setup and discovery.

This aligns with Stack Monitoring’s purpose of providing real-time visibility into resource performance.

Exadata Warehouse Insights in OCI Operations Insights provides advanced analytics to forecast resource usage for Exadata systems.

Memory (A): Tracks and predicts memory utilization based on historical trends, aiding capacity planning.

CPU (D): Forecasts CPU usage, helping identify potential bottlenecks or over-provisioning.

Why not B or C?

Network usage (B): While monitored, it’s not a primary focus of Exadata Warehouse Insights’ future usage predictions.

AIOps (C): This is a methodology, not a resource usage metric.

These forecasts leverage historical data and what-if analysis for proactive management.

An APM Domain in OCI defines the monitoring scope for APM:

A resource type containing the systems monitored by APM (B): An APM Domain is a logical container for monitored systems (e.g., microservices, web servers, databases). It groups these resources for trace and metric collection, often separated by environment (e.g., dev, prod).

Why not A, C, or D?

Users, roles, identity (A): Relates to IAM, not APM Domains.

High-availability connectivity (C): Infrastructure concern, not an APM Domain’s purpose.

Compartment (D): Compartments organize resources; APM Domains are specific to monitored systems within them.

APM Domains structure monitoring efforts effectively.

The Trace Explorer in OCI Application Performance Monitoring (APM) is a tool for analyzingdistributed traces and spans. Its key functions include:

View the details of specific spans (A): Trace Explorer allows users to drill into individual spans within a trace, displaying details such as duration, status, tags, logs, and errors. This helps identify performance bottlenecks or failures in specific service calls.

Select pre-defined queries for common use cases (B): It provides built-in queries (e.g., slowest traces, error traces, traces by service) to quickly filter and analyze common scenarios, enhancing troubleshooting efficiency.

Why not C or D?

Display status of monitored systems (C): System status is monitored via OCI Monitoring or Stack Monitoring, not Trace Explorer, which focuses on traces.

Define custom metrics for traces (D): Custom metrics are defined in OCI Monitoring, not Trace Explorer, which is for viewing, not creating metrics.

Trace Explorer enhances visibility into distributed application performance.