Prepare 1Z0-1111-25 Question Answers Free Update With 100% Exam Passing Guarantee [2025]
Dumps Real Oracle 1Z0-1111-25 Exam Questions [Updated 2025]
Oracle 1Z0-1111-25 Exam Syllabus Topics:
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NEW QUESTION # 18
Which is a valid Log Category name in Oracle Cloud Infrastructure (OCI) Logging Service?
- A. VCN Logs
- B. OCI Agent Logs
- C. System Logs
- D. Custom Logs
Answer: D
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 # 19
Which two are use cases of Oracle Cloud Infrastructure (OCI) Events Service? (Choose two.)
- A. Perform configuration management for deploying, configuring, and managing servers
- B. Process files when they are uploaded in an Object Storage bucket
- C. Migrate Events generated by OCI resources from a Source to Target services
- D. Perform cleanup tasks when an OCI resource is terminated
Answer: B,D
Explanation:
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.
NEW QUESTION # 20
What is the correct logging CLI syntax for the log search with a query for REST call responses having status code 400, within the web Log Group and the application Log?
- A. oci logging-search search-logs --search-query 'search "ocid1.compartment.oc1..aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz/web/application" --time-start 2022-02-06T00:00:00Z --time-end 2022-02-07T00:00:00Z
- B. oci logging-search search-logs --search-query 'search "ocid1.compartment.oc1..aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz" | where data.statusCode 400' --time-start 2022-02-06T00:00:00Z --time-end 2022-02-07T00:00:00Z
- C. oci log search search-logs --loggroup "web" --log "application" --search-query 'search "ocid1.compartment.oc1..aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz" where data.statusCode = 400' --time-start 2022-02-06T00:00:00Z --time-end 2022-02-07T00:00:00Z
- D. 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
Answer: D
Explanation:
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.
NEW QUESTION # 21
Which are the two components that the Management Agent solution includes in the Cloud service? (Choose two.)
- A. Cloud assets
- B. OCI Logging Analytics
- C. Management Agent
- D. Management Gateway
Answer: C,D
Explanation:
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.
NEW QUESTION # 22
Which TWO Observability and Management (O&M) services are supported by Management Agent? (Choose two.)
- A. Enterprise Manager
- B. Logging Analytics
- C. Application Performance Management
- D. Database Management
Answer: A,B
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 # 23
Which response contains rich information to process for analytics?
- A. Logging Analytic Entities
- B. Entity types
- C. Database Audit Logs
- D. Log Sources
Answer: C
Explanation:
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.
NEW QUESTION # 24
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 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.
- B. 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.
- C. 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.
- D. 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.
Answer: B
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 # 25
Which two are examples of data telemetry sources of Operations Insights? (Choose two.)
- A. Enterprise Manager
- B. OCI Streams
- C. OCI Functions
- D. Management Agent
Answer: A,D
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 # 26
Which answer best defines an Application Performance Monitoring (APM) Domain in Oracle Cloud Infrastructure (OCI)?
- A. A collection of users, roles, and identity data managing access to APM
- B. A resource type containing the systems monitored by APM
- C. A set of resources supporting high-availability connectivity to APM
- D. A compartment containing the data collected by APM
Answer: B
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 # 27
In Application Performance Monitoring (APM), where is the span context information located during transfer?
- A. In the browser and the microservices
- B. In HTTP header
- C. In HTTP call
- D. In the service boundaries
Answer: B
Explanation:
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.
NEW QUESTION # 28
What is enabled by the SQL Warehouse application within Operations Insights?
- A. Reduced Operations costs
- B. Trend and Forecast resource requirements
- C. Insights into the SQL performance
- D. Consolidated Databases
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 # 29
Which Logging Analytics concept represents an asset on your host that could provide log data?
- A. Parser
- B. Association
- C. Entity
- D. Source
Answer: D
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 # 30
Which is an example of Log Sources in Logging Analytics?
- A. JSON, XML, CSV files
- B. File, Database, Windows Events System, Syslogs
- C. Long, Integer, String fields
- D. Windows Events, Syslog Listener, and Database SQL parsers
Answer: D
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 # 31
You are part of the Cloud Operations team managing thousands of compute instances running in Oracle Cloud Infrastructure (OCI). The OCI Logging Service is configured to collect logs from these instances using a Unified Monitoring Agent. A requirement has been created to archive logging data into OCI Object Storage. Which OCI capability can help you achieve this requirement?
- A. IAM policy
- B. ObjectCollectionRule
- C. Logging Query
- D. Service Connector
Answer: D
Explanation:
To archive logs from OCI Logging Service to Object Storage, an automated data movement solution is needed:
Service Connector (A): Part of Service Connector Hub, this capability moves data between OCI services. A Service Connector can be configured with Logging as the source and Object Storage as the target, automatically transferring logs based on filters (e.g., log level) or schedules.
Why not B, C, or D?
ObjectCollectionRule (B): Used in Logging Analytics to ingest logs from Object Storage, not archive to it.
IAM policy (C): Governs permissions but doesn't perform data movement.
Logging Query (D): Analyzes logs within Logging Service, not for archiving.
Service Connector ensures seamless, scalable log archiving.
NEW QUESTION # 32
When would you use a vantage point in Application Performance Monitoring (APM)?
- A. Java Management
- B. Synthetic Monitoring
- C. Application Insights
- D. Distributed Tracing
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 # 33
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)
- A. Provides data based on a statistical analysis of AI data
- B. Allows Oracle Enterprise Manager's operations data for various use-cases
- C. Identifies future resource usage Oracle Cloud
- D. Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations
Answer: B,D
Explanation:
The Observability Lakehouse in Operations Insights is a data repository for operational analytics:
Enables custom analytics (B): Supports trending (e.g., usage patterns), forecasting (e.g., resource needs), capacity planning, and workload profiling using advanced analytical tools, enhancing resource optimization.
Allows Oracle Enterprise Manager's data (D): Integrates operational data from Enterprise Manager (e.g., database metrics) for use cases like performance analysis and anomaly detection.
Why not A or C?
Statistical analysis of AI data (A): Too vague; Lakehouse focuses on operational data, not AI-specific stats.
Identifies future resource usage (C): Partial benefit of B, but not a standalone feature.
These capabilities improve operational decision-making.
NEW QUESTION # 34
Which two functions does the Trace Explorer allow you to do in Application Performance Monitoring (APM)? (Choose two.)
- A. View the details of specific spans
- B. Select pre-defined queries for common use cases
- C. Define custom metrics for traces
- D. Display status of monitored systems
Answer: A,B
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 # 35
Why do dedicated Vantage Points matter? Select two reasons that apply. (Choose two.)
- A. Applications on-premise or secured network can be tested from a public Vantage Point
- B. Test internal customer applications
- C. Applications on-premise or on secured network cannot be tested from a public Vantage Point
- D. Test Deployment Manager and Scheduler
Answer: B,C
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 # 36
How does a user start collecting a specific log for an Entity in Logging Analytics?
- A. Configure a path for the Log File
- B. Create an Association of required Log Source with that Entity
- C. Identify Fields to extract
- D. Enable a Parser for the Log
Answer: B
Explanation:
In OCI Logging Analytics, collecting logs for an Entity (a logical representation of a resource like a host or database) requires linking it to a Log Source.
Create an Association of required Log Source with that Entity (B): This is the correct step. An association connects an Entity (e.g., a server) to a Log Source (e.g., Syslog), specifying where and how logs are collected. Once associated, Logging Analytics begins ingestion and parsing.
Why not A, C, or D?
Configure a path (A): The path is part of the Log Source definition, not the act of starting collection.
Identify Fields (C): Field extraction is a post-collection step, not the initiation process.
Enable a Parser (D): Parsers are embedded in Log Sources; enabling them is implicit in the association, not a separate step.
This association is the foundational action to enable log collection.
NEW QUESTION # 37
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)
- A. Which Management Agents to use
- B. Which Parsers to use
- C. Where to find Logs
- D. Where to store Log data
Answer: B,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 # 38
Which of the following is required to enable Stack Monitoring?
- A. User group for VCN collection
- B. Dynamic group for discovery service
- C. Machine Learning group for resource associations
Answer: B
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 # 39
From the following, select the different metric namespaces used for APM.
- A. RUM metrics, oracle_apm_monitoring, Oracle_apm_synthetic
- B. oracle_apm_monitoring namespace, synthetics, and monitoring
- C. oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring
- D. AjaxDownloadTime, TotalTraceCount, Oracle_pm_rum
Answer: C
Explanation:
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.
NEW QUESTION # 40
Which statement is NOT valid about creating an alarm query in Oracle Cloud Infrastructure (OCI) Monitoring?
- A. You must specify a metric.
- B. You must specify an interval.
- C. You must specify a statistic.
- D. You must specify a resource group.
Answer: D
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 # 41
You are part of a team that manages a set of workload instances running in an on-premises environment. The Architect team is tasked with designing and configuring Oracle Cloud Infrastructure (OCI) Logging service to collect logs from these instances. There is a requirement to archive Info-level logging data of these instances into OCI Object Storage. Which two features of OCI can help you achieve this? (Choose two.)
- A. Cloud Agent Plugin Grouping Function
- B. Service Connectors
- C. ObjectCollection Rule
- D. Agent Configuration
Answer: B,C
Explanation:
To collect logs from on-premises instances and archive Info-level logs in OCI Object Storage, you need tools for log ingestion and data movement:
Service Connectors (A): This feature enables data transfer from OCI Logging (source) to Object Storage (target). You can configure a service connector with a filter (e.g., log level = Info) to archive only Info-level logs.
ObjectCollection Rule (D): Part of Logging Analytics, this rule collects logs from Object Storage buckets into Logging Analytics for analysis. If logs are first written to Object Storage by an agent, this rule ensures continuous ingestion.
Why not B or C?
Agent Configuration (B): Used to set up Management Agents but doesn't handle archiving to Object Storage.
Cloud Agent Plugin Grouping Function (C): This is not a valid OCI feature.
The workflow involves agents sending logs to Logging, Service Connectors filtering and moving them to Object Storage, and ObjectCollection Rules enabling further analysis.
NEW QUESTION # 42
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)
- A. Cloud Agent
- B. Java Agent
- C. Browser Agent
- D. Management Agent
Answer: B,C
Explanation:
OCI APM uses specific agents for data collection:
Java Agent (B): Attaches to Java applications to collect traces, metrics, and errors for APM.
Browser Agent (D): A JavaScript snippet embedded in web pages to collect Real User Monitoring (RUM) data (e.g., page load times).
Why not A or C?
Management Agent (A): Used for Stack Monitoring/Operations Insights, not APM.
Cloud Agent (C): Monitors compute instances, not an APM-specific agent.
These agents target application and user experience monitoring.
NEW QUESTION # 43
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