[2025年更新]合格できる1Z0-1111-25試験にはリアルな問題解答
1Z0-1111-25試験問題ゲット最新[2025]と正解回答
Oracle 1Z0-1111-25 認定試験の出題範囲：
| トピック | 出題範囲 |
|---|---|
| トピック 1 |
|
| トピック 2 |
|
| トピック 3 |
|
| トピック 4 |
|
| トピック 5 |
|
| トピック 6 |
|
質問 # 25
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)
- A. Which Management Agents to use
- B. Where to store Log data
- C. Which Parsers to use
- D. Where to find Logs
正解：C、D
解説：
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.
質問 # 26
Which of the following features of Logging Analytics is used for identifying and tagging problem logs during ingestion time?
- A. Log Origin
- B. Extended Fields
- C. Labels
- D. Entity Type
正解：C
解説：
In OCI Logging Analytics, Labels enhance log analysis by tagging specific records:
Labels (B): Predefined tags applied during ingestion based on conditions (e.g., "Error" for logs with "error" or "exception"). Labels help categorize and filter problem logs for easier searching and troubleshooting.
Why not A, C, or D?
Entity Type (A): Defines the resource type (e.g., host), not a tagging mechanism.
Log Origin (C): Metadata about log source, not for problem identification.
Extended Fields (D): Custom fields extracted post-ingestion, not tags applied during ingestion.
Labels streamline issue detection at the ingestion stage.
質問 # 27
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)
- A. Cloud Agent
- B. Java Agent
- C. Management Agent
- D. Browser Agent
正解：B、D
解説：
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.
質問 # 28
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 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.
- B. 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.
- 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 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.
正解：C
解説：
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.
質問 # 29
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?
- A. ObjectCollection Rule
- B. Object Store Bucket
- C. Object Store
- D. Object Storage
正解：A
解説：
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.
質問 # 30
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/web/application" | 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" | where data.statusCode 400' --time-start 2022-02-06T00:00:00Z --time-end 2022-02-07T00:00:00Z
正解：B
解説：
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.
質問 # 31
You need to find the Log Group from a Log line using Oracle Cloud Infrastructure (OCI) Logging Service. Which section within a Log contains the Log Group's OCID?
- A. Source Section
- B. Unified Envelope
- C. Data section
- D. Oracle section
正解：B
解説：
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.
質問 # 32
In Application Performance Monitoring (APM), where is the span context information located during transfer?
- A. In HTTP header
- B. In HTTP call
- C. In the browser and the microservices
- D. In the service boundaries
正解：A
解説：
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.
質問 # 33
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. Oracle Functions
- D. OCI CLI command, oci os bucket create auto
- E. Events Service
正解：A、C
解説：
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.
質問 # 34
From the following, select the different metric namespaces used for APM.
- A. AjaxDownloadTime, TotalTraceCount, Oracle_pm_rum
- B. oracle_apm_monitoring namespace, synthetics, and monitoring
- C. RUM metrics, oracle_apm_monitoring, Oracle_apm_synthetic
- D. oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring
正解：D
解説：
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.
質問 # 35
Which step is essential while building a reliable log monitoring environment?
- A. Noise baseline determination
- B. Determination of the Machine Learning models you need to program
- C. Creation of the Key Performance Indicators (KPIs) to monitor
- D. Define permissions for the user roles in the region
正解：A
解説：
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.
質問 # 36
Which is NOT a valid statement regarding the Oracle Cloud Infrastructure (OCI) Audit logs?
- A. One of the key reasons to view Audit Logs is to collect security-related events.
- B. Audit Logs are disabled by default and must be manually enabled for each compartment in your tenancy.
- C. Audit logs can be displayed at the Compartment level.
正解：B
解説：
OCI Audit logs track API operations for security and compliance.
Invalid statement: Audit Logs are disabled by default (B): Audit Logs are enabled by default across all compartments in a tenancy-no manual activation is required. They automatically record all API activities.
Why A and C are valid:
Security-related events (A): Audit Logs capture user actions, making them critical for security monitoring.
Compartment-level display (C): Logs can be filtered and viewed by compartment or tenancy level via the Console or API.
Audit Logs are always active, with a 90-day retention period by default.
質問 # 37
Which is the correct monitoring query that will monitor the CPU utilization threshold including an alarm?
- A. cpuutilization[1m].max().grouping().sum()
- B. CpuUtilization[1m].max()
- C. CpuUtilization[1m](shape "VM.Standard.E4.Flex").max()
- D. (CpuUtilization[1m].max() > 80).grouping().sum()
正解：D
解説：
An MQL query for an alarm must evaluate a condition:
(CpuUtilization[1m].max() > 80).grouping().sum() (B):
CpuUtilization[1m]: Queries CPU utilization over 1-minute intervals.
.max(): Takes the maximum value per interval.
> 80: Sets a threshold (80%).
.grouping().sum(): Aggregates across metric streams, triggering the alarm if the sum exceeds 80%.
This is a complete alarm query.
Why not A, C, or D?
A: Filters by shape but lacks a threshold or alarm condition.
C: Missing condition for alarming.
D: No threshold; case sensitivity doesn't match OCI convention.
B ensures threshold-based alerting.
質問 # 38
Which is a valid Log Category name in Oracle Cloud Infrastructure (OCI) Logging Service?
- A. VCN Logs
- B. System Logs
- C. Custom Logs
- D. OCI Agent Logs
正解：C
解説：
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.
質問 # 39
What happens in Stack Monitoring after Management Agents are set up and resources are discovered?
- A. Alarm rules will trigger when resources are down or performance thresholds are crossed
- B. Management Agents discover resources that are running locally on the instance
- C. OCI Notifications send email notifications
- D. Metric data is immediately collected
正解：D
解説：
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 happens before this 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.
質問 # 40
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. Logs, Metrics, and Traces
- D. Log data, Query language, Dashboard widgets
正解：C
解説：
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.
質問 # 41
In Application Performance Monitoring (APM), a distributed tracing user initiates a request through a browser. What is the first span called?
- A. Root span
- B. Trace ID
- C. Ajax call
正解：A
解説：
In distributed tracing within OCI APM:
Root span (C): The first span in a trace, representing the entry point of a user request (e.g., an HTTP request from a browser). It has no parent span and initiates the chain of subsequent spans across services.
Why not A or B?
Ajax call (A): A type of request, not a span term.
Trace ID (B): A unique identifier for the entire trace, not a span.
The root span is foundational to tracing a request's journey.
質問 # 42
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. Enable a Parser for the Log
- D. Identify Fields to extract
正解：B
解説：
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.
質問 # 43
Which answer best defines an Application Performance Monitoring (APM) Domain in Oracle Cloud Infrastructure (OCI)?
- A. A compartment containing the data collected by APM
- B. A resource type containing the systems monitored by APM
- C. A collection of users, roles, and identity data managing access to APM
- D. A set of resources supporting high-availability connectivity to APM
正解：B
解説：
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.
質問 # 44
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)
- A. Efficient
- B. Climbing
- C. Degraded
- D. Plan changes
正解：C、D
解説：
SQL Warehouse in Operations Insights categorizes SQL performance:
Degraded (A): SQL statements with declining performance over time (e.g., increased latency), indicating potential issues.
Plan changes (C): SQL statements with altered execution plans, impacting performance or resource use.
Why not B or D?
Climbing (B): Not a standard category; possibly a misnomer.
Efficient (D): Positive performance isn't a focus category.
These help identify and resolve SQL issues.
質問 # 45
Which statement is NOT valid about creating an alarm query in Oracle Cloud Infrastructure (OCI) Monitoring?
- A. You must specify a resource group.
- B. You must specify an interval.
- C. You must specify a metric.
- D. You must specify a statistic.
正解：A
解説：
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.
質問 # 46
Which two components are optional while creating the Monitoring Query Language (MQL) expressions in the Oracle Cloud Infrastructure (OCI) Monitoring service? (Choose two.)
- A. Grouping Function
- B. Statistic
- C. Metric
- D. Dimensions
- E. Interval
- F. Previous
正解：A、B
解説：
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 typically required 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.
質問 # 47
How does Application Performance Monitoring track all related spans for a single user request?
- A. Using Application Name
- B. Using Trace ID
- C. Using User ID
正解：B
解説：
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.
質問 # 48
......
練習できる1Z0-1111-25問題で認証試験問題集ガイド解答は練習専門PassTest：https://www.passtest.jp/Oracle/1Z0-1111-25-shiken.html
無料Oracle 1Z0-1111-25テスト練習テスト問題試験問題集：https://drive.google.com/open?id=1hRgyrsht5LyAL8QqdEHPCvv8DUlQKock