[Feb 07, 2026] Latest Oracle Cloud Infrastructure 1Z0-1111-25 Actual Free Exam Questions
Oracle Cloud Infrastructure 1Z0-1111-25 Dumps Updated Practice Test and 63 unique questions
NEW QUESTION # 15
Which two future resource usages are identified by Exadata Warehouse Insights custom analytics under Operations Insights? (Choose two.)
- A. CPU
- B. Network usage
- C. AIOps
- D. Memory
Answer: A,D
Explanation:
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.
NEW QUESTION # 16
What are the two capabilities available in Operations Insights? (Choose two.)
- A. Capacity Planning
- B. Exadata Insights
- C. Entity Topology Viewing
- D. Database Fleet Monitoring
Answer: A,B
Explanation:
Operations Insights provides:
Capacity Planning (A): Forecasts resource needs based on historical trends and scenarios.
Exadata Insights (D): Analyzes Exadata system performance and capacity.
Why not B or C?
Database Fleet Monitoring (B): A goal, not a named capability; covered under broader features.
Entity Topology Viewing (C): More aligned with Stack Monitoring, not Operations Insights.
These capabilities optimize resource management.
NEW QUESTION # 17
Which two functions does the Trace Explorer allow you to do in Application Performance Monitoring (APM)? (Choose two.)
- A. Select pre-defined queries for common use cases
- B. Display status of monitored systems
- C. View the details of specific spans
- D. Define custom metrics for traces
Answer: A,C
Explanation:
The Trace Explorer in OCI Application Performance Monitoring (APM) is a tool for analyzing distributed 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.
NEW QUESTION # 18
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)
- A. Which Parsers to use
- B. Which Management Agents to use
- C. Where to find Logs
- D. Where to store Log data
Answer: A,C
Explanation:
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.
NEW QUESTION # 19
Which TWO Observability and Management (O&M) services are supported by Management Agent? (Choose two.)
- A. Database Management
- B. Application Performance Management
- C. Enterprise Manager
- D. Logging Analytics
Answer: C,D
Explanation:
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.
NEW QUESTION # 20
Which Logging Analytics concept represents an asset on your host that could provide log data?
- A. Association
- B. Parser
- C. Source
- D. Entity
Answer: C
Explanation:
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.
NEW QUESTION # 21
Which statement is NOT valid about creating an alarm query in Oracle Cloud Infrastructure (OCI) Monitoring?
- A. You must specify a statistic.
- B. You must specify an interval.
- C. You must specify a resource group.
- D. You must specify a metric.
Answer: C
Explanation:
Creating an alarm query in OCI Monitoring involves MQL:
Invalid: You must specify a resource group (D): Resource groups (e.g., groupBy(resourceId)) are optional for aggregating metrics across streams; alarms can function without them.
Why A, B, and C are valid:
A: A statistic (e.g., max, avg) is required to process metric data.
B: An interval (e.g., [1m]) defines the time window, mandatory for evaluation.
C: A metric (e.g., CpuUtilization) is the core of the query.
Resource groups enhance, but aren't required for, alarms.
NEW QUESTION # 22
When would you use a vantage point in Application Performance Monitoring (APM)?
- A. Application Insights
- B. Synthetic Monitoring
- C. Distributed Tracing
- D. Java Management
Answer: B
Explanation:
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.
NEW QUESTION # 23
Which two are examples of data telemetry sources of Operations Insights? (Choose two.)
- A. OCI Functions
- B. Enterprise Manager
- C. Management Agent
- D. OCI Streams
Answer: B,C
Explanation:
Operations Insights collects telemetry data for analysis from:
Management Agent (C): A lightweight process that gathers metrics (e.g., CPU, memory) from hosts, databases, or applications and sends them to Operations Insights.
Enterprise Manager (D): An on-premises tool that provides database performance and configuration data to Operations Insights.
Why not A or B?
OCI Streams (A): A streaming service, not a telemetry source for Operations Insights.
OCI Functions (B): Serverless compute, not a direct telemetry source.
These sources enable comprehensive resource monitoring.
NEW QUESTION # 24
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?
- A. Object Store Bucket
- B. ObjectCollection Rule
- C. Object Store
- D. Object Storage
Answer: B
Explanation:
For continuous log ingestion from Object Storage:
ObjectCollection Rule (A): A Logging Analytics feature that monitors Object Storage buckets and ingests logs based on defined patterns (e.g., bucket name, object prefix). It's designed for this purpose.
Why not B, C, or D?
Object Store (B), Object Storage (C), Object Store Bucket (D): These refer to the storage service or its components, not a method for log ingestion.
ObjectCollection Rule ensures automated, ongoing log collection.
NEW QUESTION # 25
Which statement is valid for auto-upgrade of Management Agent?
- A. Auto-upgrade is an opt-in/opt-out feature at the tenancy level
- B. Auto-upgrade option is not available for Management Agent
- C. Auto-upgrade is always enabled by default (no action is needed)
- D. Users cannot disable "auto-upgrade"
Answer: D
Explanation:
The auto-upgrade feature for Management Agents ensures they stay current:
Users cannot disable "auto-upgrade" (B): Auto-upgrade is mandatory and enabled by default, automatically updating agents to the latest version for security and functionality. Users lack an opt-out mechanism.
Why not A, C, or D?
A: Incorrect; it's not configurable at the tenancy level.
C: True that it's enabled by default, but B is more precise about the lack of disable option.
D: False; auto-upgrade exists.
This ensures consistent agent reliability.
NEW QUESTION # 26
Which of the following is required to enable Stack Monitoring?
- A. Machine Learning group for resource associations
- B. User group for VCN collection
- C. Dynamic group for discovery service
Answer: C
Explanation:
To enable Stack Monitoring:
Dynamic group for discovery service (A): A dynamic group defines resources (e.g., compute instances) that Stack Monitoring can discover and monitor. A policy granting permissions to this group is also required.
Why not B or C?
Machine Learning group (B): Not a valid OCI concept for Stack Monitoring.
User group for VCN collection (C): User groups manage human access, not service discovery.
This setup ensures Stack Monitoring can access and monitor resources.
NEW QUESTION # 27
What is the purpose of using Resolution in a Monitoring Query Language expression?
- A. Resolution defines the start time of each time window
- B. Resolution is used with suppression to pause alarm during system maintenance
- C. Resolution automatically resolves the alarm which is Firing state
- D. Resolution controls the total length of each time window
Answer: D
Explanation:
In OCI Monitoring's Monitoring Query Language (MQL), Resolution affects data aggregation:
Resolution controls the total length of each time window (A): It specifies the time interval (e.g., 1m for 1 minute) over which metric data is aggregated (e.g., averaged, summed), determining query granularity.
Why not B, C, or D?
B: Start time is set by the query's time range, not Resolution.
C: Resolution doesn't affect alarm states; that's a separate mechanism.
D: Suppression is an alarm feature, unrelated to Resolution.
Resolution fine-tunes metric analysis precision.
NEW QUESTION # 28
Your team has been tasked with debugging a Cloud Native application developed using the following Oracle Cloud Infrastructure (OCI) services: Object Storage, Events, Functions, API Gateway, and Autonomous Database. Which of these is NOT a valid option for troubleshooting issues in OCI?
- A. Leverage OCI Cloud Guard to extract and visualize debug logs generated by your application.
- B. Configure the application to send logs into OCI Logging service.
- C. Trace performance issues in OCI Application Performance Monitoring service by enabling Function traces.
- D. Configure a Service Connector to automatically send logs into the OCI Logging Analytics service.
- E. View service metric information from the OCI Monitoring service.
Answer: A
Explanation:
Troubleshooting a cloud-native app leverages OCI observability tools:
Invalid: Leverage OCI Cloud Guard to extract and visualize debug logs (D): Cloud Guard is a security posture management and threat detection service, not designed for extracting or visualizing application debug logs.
Why A, B, C, and E are valid:
A: Monitoring provides service metrics (e.g., Function invocation latency).
B: Service Connector moves logs to Logging Analytics for analysis.
C: APM traces Functions performance issues.
E: Logging Service collects app logs directly.
Cloud Guard focuses on security, not debugging.
NEW QUESTION # 29
Which is one of the primary use cases for the Oracle Cloud Infrastructure (OCI) Observability and Management (O&M) Logging Analytics service?
- A. Create OCI resources automatically based on log events and reports
- B. Monitor, aggregate, index, and analyze log data
- C. Centralize and relocate any log based on a subscription model
Answer: B
Explanation:
Logging Analytics is a core O&M service:
Monitor, aggregate, index, and analyze log data (A): Collects logs from OCI and external sources, indexes them for search, and provides analytics (e.g., clustering) to monitor and troubleshoot systems.
Why not B or C?
B: Log centralization occurs, but "subscription model" isn't a feature.
C: Resource creation is an Events Service use case, not Logging Analytics.
This is its primary observability role.
NEW QUESTION # 30
Which of the following statements is NOT valid regarding Management Agent Cloud Service?
- A. Management Agent Cloud Service transports customer data to Logging Analytics, OCI Monitoring, or even a custom endpoint hosted in OCI.
- B. Management Agent Cloud Service is self-monitored.
- C. Management Agent Cloud Service allows OCI services to collect data from on-premises and cloud assets, except that it can only transport data into AWS or GCS.
- D. Management Agent Cloud Service enables on-demand execution of operations against monitored resources.
Answer: C
Explanation:
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.
NEW QUESTION # 31
Which pillars of Observability are available as a single view from the Dashboard?
- A. Logging Analytics, Database Management, Stack Monitoring
- B. Compute, Storage, and Network
- C. Log data, Query language, Dashboard widgets
- D. Logs, Metrics, and Traces
Answer: D
Explanation:
OCI Dashboards consolidate the three pillars of observability:
Logs, Metrics, and Traces (A):
Logs: Event records from Logging Service.
Metrics: Numeric data from Monitoring Service.
Traces: Request flows from APM.
These can be visualized together in OCI Dashboards for unified observability.
Why not B, C, or D?
B: Resource categories, not pillars.
C: Tools or components, not pillars.
D: OCI services, not the core concepts.
This integration enhances system visibility.
NEW QUESTION # 32
Which is an example of Log Sources in Logging Analytics?
- A. Long, Integer, String fields
- B. JSON, XML, CSV files
- C. Windows Events, Syslog Listener, and Database SQL parsers
- D. File, Database, Windows Events System, Syslogs
Answer: C
Explanation:
In OCI Logging Analytics, Log Sources are predefined parsers that extract fields from specific types of log data, enabling structured analysis.
Windows Events, Syslog Listener, and Database SQL parsers (B): These are examples of Log Sources in Logging Analytics. Each represents a specific log type with a predefined parser:
Windows Events: Parses event logs from Windows systems (e.g., security, application logs).
Syslog Listener: Handles logs in the Syslog format, common in Unix-based systems or network devices.
Database SQL parsers: Extracts fields from database logs (e.g., Oracle Database audit logs).
These sources come with built-in field mappings and labels for analysis.
Why not A, C, or D?
Long, Integer, String fields (A): These are data types, not Log Sources.
File, Database, Windows Events System, Syslogs (C): While close, this mixes log locations (e.g., File, Database) with source types and isn't a precise match to predefined Log Sources.
JSON, XML, CSV files (D): These are file formats, not Log Sources; Logging Analytics can parse them but they're not predefined sources.
Log Sources streamline log ingestion by providing out-of-the-box parsing for common log types.
NEW QUESTION # 33
Why do dedicated Vantage Points matter? Select two reasons that apply. (Choose two.)
- A. Applications on-premise or on secured network cannot be tested from a public Vantage Point
- B. Test Deployment Manager and Scheduler
- C. Applications on-premise or secured network can be tested from a public Vantage Point
- D. Test internal customer applications
Answer: A,D
Explanation:
In OCI APM's Synthetic Monitoring, Vantage Points are locations from which synthetic tests (e.g., HTTP requests) are run. Dedicated Vantage Points are private, user-managed instances, distinct from public ones hosted by Oracle:
Applications on-premise or on secured network cannot be tested from a public Vantage Point (B): Public Vantage Points, located in Oracle-managed regions, lack access to private networks (e.g., on-premise servers or firewalled applications). Dedicated Vantage Points, deployed within a user's network, overcome this limitation.
Test internal customer applications (C): Dedicated Vantage Points enable testing of internal applications (e.g., intranet sites) not exposed to the public internet, ensuring performance monitoring from within the secured environment.
Why not A or D?
Test from public Vantage Point (A): Contradicts B; public Vantage Points can't access private networks.
Test Deployment Manager and Scheduler (D): These are unrelated OCI components, not Synthetic Monitoring targets.
Dedicated Vantage Points extend monitoring to restricted environments.
NEW QUESTION # 34
Which is a valid Log Category name in Oracle Cloud Infrastructure (OCI) Logging Service?
- A. OCI Agent Logs
- B. VCN Logs
- C. Custom Logs
- D. System Logs
Answer: C
Explanation:
In OCI Logging Service, Log Categories classify logs based on their origin or purpose.
Custom Logs (D): This is a valid Log Category for logs generated by user applications or services not natively integrated with OCI. Custom Logs are collected using agents, SDKs, or APIs and are user-defined.
Why not A, B, or C?
VCN Logs (A): Virtual Cloud Network (VCN) flow logs exist, but "VCN Logs" isn't a formal Log Category; it's a type of service log.
OCI Agent Logs (B): Agent logs are internal to Management Agents, not a user-facing Log Category.
System Logs (C): While system logs exist in some contexts, OCI Logging uses specific categories like "Audit Logs" or "Service Logs," not a generic "System Logs."
"Custom Logs" is explicitly supported for user-generated log data.
NEW QUESTION # 35
Your on-premises private cloud environment consists of virtual machines hosting a set of application servers. These VMs are currently monitored using a 3rd party monitoring tool for resource metrics such as CPU and Memory utilization. You have created an automation workflow to transform these application servers into Oracle Cloud Infrastructure (OCI) which will deploy a set of new compute instances. There are a few requirements to consider while running this task: Ensure continuous monitoring is enabled, so the current monitored resource metrics are continuously collected and reported; Monitor the completion of Compute Instance deployment during the workflow and notify with email on each execution; Notify with email for any new OCI Object Storage buckets created after the migration workflow. What solution would you recommend to achieve these requirements?
- A. Configure OCI Compute agent on on-premises VMs to collect required resource metrics. Use OCI Events service to track all deployments (com.oraclecloud.computeapi.launchinstance.end) with OCI Notifications service to track and report all changes occurring in the target environment.
- B. Configure OCI Compute agent on OCI compute instances to collect required resource metrics. Use OCI Events and Functions services to track the Instance deployment (com.oraclecloud.computeapi.launchinstance.end) and creation of new buckets (com.oraclecloud.objectstorage.createbucket). Use OCI Notifications and Events service to notify these changes.
- C. Configure OCI Compute agent on on-premises VMs and OCI compute instances to collect required resource metrics. Use OCI Events service to track the end-to-end deployment process (com.oraclecloud.computeapi.launchinstance.end) and creation of new bucket (com.oraclecloud.objectstorage.createbucket). Use OCI Notifications and Events services to notify these changes.
- D. Configure both 3rd party monitoring tool and OCI Compute Agent on OCI compute instances to collect required resource metrics. Use OCI Events service (com.oraclecloud.computeapi.launchinstance.end) with Notifications service to track and notify all changes occurring in the target OCI environment.
Answer: C
Explanation:
The solution must address continuous monitoring and event-driven notifications:
D:
OCI Compute agent on on-premises VMs and OCI instances: Ensures metric continuity (e.g., CPU, memory) across the migration, using Management Agents for both environments.
Events service: Tracks launchinstance.end for deployment completion and createbucket for new buckets.
Notifications and Events: Sends email alerts for these events.
Why not A, B, or C?
A: Misses on-premises monitoring continuity.
B: Lacks bucket creation tracking.
C: Redundant 3rd-party tool use; OCI agents suffice.
D provides end-to-end coverage.
NEW QUESTION # 36
Which answer best defines an Application Performance Monitoring (APM) Domain in Oracle Cloud Infrastructure (OCI)?
- A. A resource type containing the systems monitored by APM
- B. A compartment containing the data collected by APM
- C. A set of resources supporting high-availability connectivity to APM
- D. A collection of users, roles, and identity data managing access to APM
Answer: A
Explanation:
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.
NEW QUESTION # 37
You are working on a project to automate the deployment of Oracle Cloud Infrastructure (OCI) compute instances that are pre-configured with web services. As part of the deployment workflow, you also need to create a corresponding OCI object storage bucket bearing the same name as that of the compute instance. Which of these two options can help you achieve this requirement? (Choose two.)
- A. Service Connector Hub
- B. Cloud Agent Plugin for the compute instance
- C. OCI CLI command, oci os bucket create auto
- D. Oracle Functions
- E. Events Service
Answer: A,D
Explanation:
To automate the creation of an OCI Object Storage bucket with the same name as a compute instance during deployment, you need a mechanism to detect the instance creation event and trigger an action to create the bucket. Two OCI services that can achieve this are Service Connector Hub and Oracle Functions, used in conjunction with the Events Service.
Service Connector Hub (B): This service acts as a cloud message bus that facilitates data movement between OCI services. You can configure a service connector with the Events Service as the source (to detect compute instance creation events, e.g., com.oraclecloud.computeapi.launchinstance.end) and Oracle Functions as the target. The service connector filters and routes the event to trigger a function.
Oracle Functions (C): This is a serverless platform that allows you to write and execute code in response to events. You can create a function that retrieves the compute instance name from the event payload and uses the OCI SDK or API to create an Object Storage bucket with the same name.
Why not A, D, or E alone?
Cloud Agent Plugin (A): This is used for monitoring and managing compute instances but does not directly support bucket creation automation.
OCI CLI command (D): The command oci os bucket create auto is not a valid OCI CLI command (oci os bucket create is valid but requires manual invocation or scripting, not event-driven automation).
Events Service (E): While critical for detecting instance creation, it alone cannot execute the logic to create a bucket-it needs a target like Functions or Notifications.
This solution leverages the event-driven architecture of OCI, combining Events Service (implicitly used with Service Connector Hub) and Oracle Functions for execution.
NEW QUESTION # 38
How does Application Performance Monitoring track all related spans for a single user request?
- A. Using Trace ID
- B. Using Application Name
- C. Using User ID
Answer: A
Explanation:
APM tracks request flows using:
Using Trace ID (A): A unique identifier assigned to a trace (collection of spans) for a single user request. Propagated via HTTP headers, it links all spans across services.
Why not B or C?
User ID (B): Identifies users, not request flows.
Application Name (C): Too broad; doesn't correlate specific requests.
Trace ID ensures end-to-end visibility in distributed systems.
NEW QUESTION # 39
What is enabled by the SQL Warehouse application within Operations Insights?
- A. Consolidated Databases
- B. Reduced Operations costs
- C. Insights into the SQL performance
- D. Trend and Forecast resource requirements
Answer: C
Explanation:
The SQL Warehouse in Operations Insights focuses on SQL-level analysis:
Insights into the SQL performance (A): Provides a centralized repository of SQL performance data (e.g., execution time, resource usage) from monitored databases, enabling detailed analysis and optimization.
Why not B, C, or D?
Trend and Forecast (B): Handled by Capacity Planning in Operations Insights, not SQL Warehouse.
Consolidated Databases (C): A misnomer; it's about data, not database consolidation.
Reduced costs (D): An outcome, not a direct feature.
SQL Warehouse enhances database performance visibility.
NEW QUESTION # 40
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