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1z0-1111-23認定試験問題集には69練習テスト問題
Oracle 1z0-1111-23 認定試験の出題範囲：
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質問 # 27
Which response contains rich information to process for analytics?
- A. Database Audit Logs
- B. Log Sources
- C. Logging Analytic Entities
- D. Entity types
正解：A
解説：
Explanation
Database Audit Logs contain rich information to process for analytics, such as user actions, database operations, and security events. Logging Analytics can ingest and analyze these logs to provide insights into the health and performance of your databases.
質問 # 28
You have configured an Alarm Definition in the OracleCloud Infrastructure (OCI) Monitoring service to send notifications through email. The alarm should resend notifications at specified intervals if the alarm continues to be in the firing state. A subscriber in the Notifications Topic complains about not receiving multiple emails upon failures. Which of the following could be the possible cause of this issue?
- A. OCI Monitoring service can send only one notification per Alarm Definition when the alarm condition is met.
- B. Trigger Condition was not configured while defining the Alarm.
- C. Resending notifications depends on the total metric streams returned from the query.
- D. Repeat notification was not enabled while creating the Alarm.
正解：D
解説：
Explanation
To resend notifications at specified intervals if the alarm continues to be in the firing state, you need to enable repeat notification while creating the alarm. Repeat notification is an optional feature that allows you to specify how often you want to receive notifications for an alarm that remains in the firing state. For more information, see Creating Alarms.
質問 # 29
Which TWO future resource usages are identified by Exadata Warehouse insights custom analytics under Operations Insights? (Choose two.)
- A. Memory
- B. AIOps
- C. Network usage
- D. CPU
正解：A、D
解説：
Explanation
Two future resource usages that are identified by Exadata Warehouse insights custom analytics under Operations Insights are Memory and CPU. Exadata Warehouse insights custom analytics is a feature of Operations Insights that provides advanced analytics and visualization of Exadata performance data. You can use Exadata Warehouse insights custom analytics to create scenarios based on historical trends, growth rates, and what-if analysis. You can also use Exadata Warehouse insights custom analytics to forecast future resource usages, such as Memory or CPU, and plan capacity for your Exadata systems.
質問 # 30
As a solutions architect of the Oracle Cloud Infrastructure (OCI) tenancy, you have been asked to provide members of the CloudOps group the ability to view and retrieve monitoring metrics, but only for all monitoring-enabled compute instances. Which policy statement would you define to grant this access?
- A. Allow group cloudops to read metrics in tenancy where tar-get.metrics.monitoring='oci_computeagent'
- B. Allow group cloudOps to read metrics in tenancy where target.metrics.namespace-'oci_computeagent'
- C. Restricting monitoring access only to compute instancesmetrics is not possible.
- D. Allow group cloudops to read compute-metrics in tenancy
正解：A
解説：
Explanation
To grant the CloudOps group the ability to view and retrieve monitoring metrics only for all monitoring-enabled compute instances, you need to use a policy statement with a condition that filters by the metric namespace. The metric namespace is a unique name that identifies the source of the metrics. For compute instances, the metric namespace is oci_computeagent. Therefore, the policy statement should be:
Allow group cloudops to read metrics in tenancy where target.metrics.namespace='oci_computeagent'
質問 # 31
What step must be performed to enable Operations Insights for an Autonomous Database?
- A. Create an Object Storage Bucket for the Database
- B. Configure an OCI Bridge for the Database
- C. Install a Management Agent on the Database
- D. Enable Operations Insights for the Database
正解：D
解説：
Explanation
To enable Operations Insights for an Autonomous Database, you need to enable Operations Insights for the database in the Autonomous Database details page. This will allow you to monitor and analyze the performance, resource utilization, and SQL activity of your Autonomous Database.
質問 # 32
You are part of the Cloud Security operations of an organization with thousands of users accessing Oracle Cloud Infrastructure (OCI). It is reported that an unknown user action was executed resulting in configuration errors. You are tasked with identifying the details of all users who were active in the last six hours along with any REST API calls that were executed. Which OCI feature should you use?
- A. Management Agent Log Ingestion
- B. Audit Analysis Dashboard
- C. Service Connector Hub
- D. ObjectCollectionRule
正解：B
解説：
Explanation
To quickly identify the details of all users who were active in the last six hours along with any REST API calls that were executed, you can use Audit Analysis Dashboard. Audit Analysis Dashboard is a feature of Audit service that provides a graphical representation of audit events and trends. You can use Audit Analysis Dashboard to view charts and tables that show various metrics and dimensions of audit events, such as user activity, resource activity, operation types, or error codes.
質問 # 33
In Application Performance Monitoring (APM), a distributed tracing user initiates a re-quest through a browser. What is the first span called?
- A. Trace id
- B. Root span
- C. Ajax call
正解：B
解説：
Explanation
In APM, a distributed tracing user initiates a request through a browser. The first span is called the root span.
A root span is the span that represents the entry point of a trace, such as an HTTP request from a browser or a message from a queue. A root span has no parent span and can have zero or more child spans.
質問 # 34
You are part of an organization with thousands of users accessing Oracle Cloud Infra-structure (OCI). An unknown user action was executed resulting in configuration errors. You are tasked to quickly identify the details of all users who were active in the last six hours along with any REST API calls that were executed.
Which OCI service would you use?
- A. Logging
- B. Service Connectors
- C. Notifications
- D. Management Agent
- E. Audit
正解：E
解説：
Explanation
To identify the details of all users who were active in the last six hours along with any REST API calls that were executed, you can use OCI Audit service. Audit service is a service that records all the API operations performed on your OCI resources. Audit service provides security, compliance, and governance information about your OCI resources. You can use Audit service to view and search audit events based on various criteria, such as user name, resource type, or time range.
質問 # 35
How does a user start collecting a specific log for an Entity in Logging Analytics?
- A. Create an Association of required Log Source with that Entity
- B. Identify Fields to extract
- C. Configure a path for the Log File
- D. Enable a Parser for the Log
正解：A
解説：
Explanation
To start collecting a specific log for an Entity in Logging Analytics, you need to create an association of required Log Source with that Entity. An Entity is a logical representation of a resource that can generate log data, such as a host, a database, or an application. A Log Source is a definition of the location, format, and frequency of the log data. An association is a link between an Entity and a Log Source that enables Logging Analytics to collect and parse log data from that Entity.
質問 # 36
Which of the following feature of Logging Analytics is used for identifying and tagging the problem logs during ingestion time?
- A. Labels
- B. Log Origin
- C. Entity Type
- D. Extended Fields
正解：A
解説：
Explanation
Labels are a feature of Logging Analytics that allow you to identify and tag the problem logs during ingestion time. Labels are predefined tags that can be applied to log records based on certain conditions or patterns. For example, you can create a label called "Error" that is applied to any log record that contains the word "error" or "exception". Labels can help you filter, search, and analyze your log data more efficiently.
質問 # 37
Which of the following statement is NOTIvalid regarding Management Agent Cloud Service?
- A. Management Agent Cloud Service is self monitored.
- B. 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.
- C. Management Agent Cloud Service transport customer data to Logging Analytics, OCI Monitoring, or even a custom endpoint hosted in OCI.
- D. Management Agent Cloud service enables on demand execution of operations against monitored resources.
正解：B
解説：
Explanation
A valid statement regarding Management Agent Cloud Service is that Management Agent Cloud Service allows OCI services to collect data from on-premises and cloud assets, and transport data into OCI services, such as Logging Analytics, OCI Monitoring, or even a custom endpoint hosted in OCI. Management Agent Cloud Service does not support transporting data into AWS or GCS.
質問 # 38
In Application Performance Monitoring (APM), where isthe span context information located during transfer?
- A. in the service boundaries
- B. in HTTP header
- C. in the browser and the microservices
- D. in HTTP call
正解：B
解説：
Explanation
In Application Performance Monitoring (APM), the span context information is located in the HTTP header during transfer. Span context is a set of information that identifies a span within a trace, such as Trace ID and Span ID. Span context is propagated across different services and components using HTTP headers. This allows APM to track and correlate the spans for a single user request or transaction.
質問 # 39
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 work-flow 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 In-stance 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 met-rics. 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 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.compute api.launchinstance.end) and creation of new bucket (com.oraclecloud.objectstorage.createbucket). Use OCI Notifications and Events services to notify these changes.
- C. 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.
- D. 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.
正解：B
解説：
Explanation
To ensure continuous monitoring of both on-premises VMs and OCI compute instances, you need to configure OCI Compute agent on both sources to collect the required resource metrics. The OCI Compute agent is a lightweight process that monitors the host and the processes running on the host. You can use OCI Events service to track the end-to-end deployment process (com.oraclecloud.computeapi.launchinstance.end) and creation of new buckets (com.oraclecloud.objectstorage.createbucket) in your target environment. You can use OCI Notifications and Events services to notify these changes via email or other supported protocols.
質問 # 40
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. Cloud Agent Plugin for the compute instance
- B. Service Connector Hub
- C. Oracle Functions
- D. OCI CLI command, ocios bucket create auto
- E. Events Service
正解：B、C
解説：
Explanation
To create a corresponding OCI object storage bucket bearing the same name as that of the compute instance, you can use Oracle Functions and Service Connector Hub. Oracle Functions is a serverless platform that lets you create and run functions that respond to events. Service Connector Hub is a cloud message bus platform that lets you move data between OCI services. You can create a service connector that has Events as the source service and Functions as the target service. You can also specify a filter to select only the events related to compute instance creation (com.oraclecloud.computeapi.launchinstance.end). The function can then create an object storage bucket with the same name as the compute instance.
質問 # 41
Choose two FluentD scenarios that apply when using continuous Log Collection with cli-ent-side processing.?
(Choose two.)
- A. Managing apps/services which push logs to Object Storage
- B. Monitoring systems that are not currently supported by Management agent
- C. Comprehensive monitoring for OKE/Kubernetes
- D. Log Source
正解：B、C
解説：
Explanation
Two FluentD scenarios that apply when using continuous Log Collection with client-side processing are:
* Managing apps/services which push logs to Object Storage. FluentD is an open source data collector that can collect and process log data from various sources. You can use FluentD to manage apps/services that push logs to Object Storage, such as Oracle Functions or Kubernetes. You can configure FluentD to read logsfrom Object Storage buckets and send them to Logging Service or Logging Analytics for analysis.
* Comprehensive monitoring for OKE/Kubernetes. FluentD is also a popular choice for monitoring Kubernetes clusters, such as Oracle Container Engine for Kubernetes (OKE). You can use FluentD to collect and process logs from Kubernetes pods, containers, and nodes, and send them to Logging
* Service or Logging Analytics for analysis.
質問 # 42
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