最新 [2023年11月] 効果的な学習法でJPNTestの問題集で1z0-1111-23テストを合格せよ [Q22-Q43]

Share

最新 [2023年11月] 効果的な学習法でJPNTestの問題集で1z0-1111-23テストを合格せよ

実績のある受験者のシミュレーションされた1z0-1111-23試験PDF問題を試そう


Oracle 1z0-1111-23 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • Explain the architecture of the Management Agent cloud service
  • Identifying patterns and root causes from log data using Logging Analytics
トピック 2
  • Instrument applications for data collection
  • Monitoring environments using Monitoring Service
トピック 3
  • Enable log collection from sources for Log Categories
  • Respond to events and integrate with OCI services
トピック 4
  • Configure Service Connector Hub for Log Transitions
  • Enable monitoring in Oracle Cloud environments
トピック 5
  • Visualizing log data using Logging Service
  • Responding to cloud resource changes in real-time using Events Service
トピック 6
  • Discover resources and monitor using metrics
  • Creating visualization with key data points using Dashboards
トピック 7
  • Describe Event Structure, Event Types, and Rules
  • Configure metrics and alarm definitions using best practices

 

質問 # 22
Which Logging Analytics concept represents an asset on your host that could provide log data?

  • A. Parser
  • B. Association
  • C. Entity
  • D. Source

正解:D

解説:
Explanation
A source represents an asset on your host that could provide log data, such as a log file, a database audit log, or a Windows event log. A source defines the location, format, and frequency of the log data. You can associate a source with an entity type to enable Logging Analytics to parse and analyze the log data. For more information, see Sources.


質問 # 23
What determines the parsing options for a given source of log data in Logging Analytics?

  • A. Entity Group
  • B. Source-Entity Association
  • C. Entity Type
  • D. Entity

正解:C

解説:
Explanation
The parsing options for a given source of log data in Logging Analytics are determined by the entity type. An entity type is a predefined template that defines the attributes, log sources, and parsers for a specific type of log data, such as Apache Web Server, Oracle Database, or Linux Host. By associating an entity type with a log source, you can enable Logging Analytics to parse and extract fields from the log data. For more information, see Entity Types.


質問 # 24
Which TWO actions can be performed using the Database Management Service in Oracle Cloud Infrastructure (OCI)? (Choose two.)

  • A. Forecast Capacity issue of Oracle Databases in On-Premises, OCI and Multi-Cloud environment
  • B. Forecast Capacity issues of your Database services in OCI
  • C. Analyze and Tune SQL performance issues of Oracle Databases on-premises, OCI and Multi- Cloud environment
  • D. Compare Database performance across different time periods or perform real-time monitoring of SQL statements

正解:C、D

解説:
Explanation
Two actions that can be performed using the Database Management Service in OCI are:
* Compare Database performance across different time periods or perform real-time monitoring of SQL statements. Database Management Service provides various tools and dashboards that let you compare and monitor the performance of your databases and SQL statements. You can use Performance Hub to view real-time and historical performance data of your databases. You can also use SQL Monitor to view real-time and historical execution details of your SQL statements.
* Analyze and Tune SQL performance issues of Oracle Databases on-premises, OCI and Multi-Cloud environment. Database Management Service provides various features and functions that let you analyze and tune SQL performance issues of your databases across different environments. You can use SQL Tuning Advisor to get recommendations for improving SQL performance. You can also use SQL Performance Analyzer to compare the performance of SQL statements before and after a change.


質問 # 25
Which is a valid Log Category name in Oracle Cloud Infrastructure (OCI) Logging Service?

  • A. System Logs
  • B. OCI Agent Logs
  • C. Custom Logs
  • D. VCN Logs

正解:C

解説:
Explanation
A valid Log Category name in OCI Logging Service is Custom Logs. Custom Logs are logs that are generated by your own applications or services that are not part of OCI services. Custom Logs can be collected by Logging Service using various methods, such as Unified Monitoring Agent, SDKs, or APIs. Custom Logs can help you monitor and troubleshoot your custom applications or services.


質問 # 26
Which pillars of Observability are available as a single view from the Dashboard?

  • A. Log data, Query language, Dashboard widgets
  • B. Logging Analytics, Database Management, Stack Monitoring
  • C. Logs, Metrics, and Traces
  • D. Compute, Storage, and Network

正解:C

解説:
Explanation
The pillars of Observability are Logs, Metrics, and Traces. Logs are records of events that occur in your system or application. Metrics are numerical measurements that describe the behavior and performance of your system or application. Traces are collections of spans that represent a single user request or transaction across different services and components. You can use Dashboard to create a single view that shows logs, metrics, and traces from various sources in one place.


質問 # 27
Which TWO Observability and Management (O&M) services are supported by Management Agent? (Choose two.)

  • A. Logging Analytics
  • B. Enterprise Manager
  • C. Application Performance Management
  • D. Database Management

正解:A、B

解説:
Explanation
Enterprise Manager is a service that provides comprehensive monitoring and administration capabilities for Oracle Database and Engineered Systems1. Management Agent enables Enterprise Manager to discover, monitor, and manage targets on Oracle Cloud Infrastructure, on-premises, or on other public clouds2.
Logging Analytics is a service that enables devops teams to monitor and troubleshoot issues faster by analyzing data from any source using interactive, intuitive dashboards1. Management Agent collects log data from various sources and sends it to Logging Analytics for parsing and indexing2.


質問 # 28
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?

  • A. Object Store
  • B. Object Storage
  • C. Object Collection Rule
  • D. Object Store Bucket

正解:C

解説:
Explanation
The recommended method to continuously monitor and ingest logs from Object Storage buckets is ObjectCollection Rule. ObjectCollection Rule is a feature of Logging Analytics that allows you to collect log data from objects stored in Object Storage buckets. You can create an ObjectCollection Rule that specifies the bucket name, object name pattern, entity type, and log source for your log data.


質問 # 29
What step must be performed to enable Operations Insights for an Autonomous Database?

  • A. Install a Management Agent on the Database
  • B. Configure an OCI Bridge for the Database
  • C. Create an Object Storage Bucket for 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 # 30
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. Service Connector Hub
  • B. Audit Analysis Dashboard
  • C. Management Agent Log Ingestion
  • 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 # 31
Which step is essential while building a reliable log monitoring environment?

  • A. Determination of the Machine Learning models you need to program
  • B. Creation of the Key Performance Indicators (KPIs) to monitor
  • C. Noise baseline determination
  • D. Define permissions for the user roles in the region

正解:C

解説:
Explanation
An essential step while building a reliable log monitoring environment is noise baseline determination. Noise baseline is the level of noise or irrelevant log data that is present in your environment. By determining the noise baseline, you can filter out the noise and focus on the signal or meaningful log data that can help you monitor and troubleshoot your environment. For more information, see Reducing Noise.


質問 # 32
Which is the correct monitoring query that will monitor the CPU utilization threshold including an alarm?

  • A. cpuutilization[1m] .max().grouping().sum()
  • B. Cpuutilization [Im].max()
  • C. (CpuUtilization[1m] .max()> 80).grouping().sum ()
  • D. CpuUtilization [1m] (shape "VM.Standard.E4.Flex") .max()"

正解:C

解説:
Explanation
The correct monitoring query that will monitor the CPU utilization threshold including an alarm is (CpuUtilization[1m] .max()> 80).grouping().sum (). This query will return the sum of the maximum CPU utilization values for each metric stream in a one-minute interval, and compare it with the threshold value of
80%. If the sum is greater than 80%, the alarm condition is met and an alarm is triggered.


質問 # 33
Which pillars of Observability are available as a single view from the Dashboard?

  • A. Log data, Query language, Dashboard widgets
  • B. Logging Analytics, Database Management, Stack Monitoring
  • C. Logs, Metrics, and Traces
  • D. Compute, Storage, and Network

正解:C

解説:
Explanation
The pillars of Observability are Logs, Metrics, and Traces. Logs are records of events that occur in your system or application. Metrics are numerical measurements that describe the behavior and performance of your system or application. Traces are collections of spans that represent a single user request or transaction across different services and components. You can use Dashboard to create a single view that shows logs, metrics, and traces from various sources in one place.


質問 # 34
Which is NOT a valid statement regarding the Oracle Cloud Infrastructure (OCI) Audit logs?

  • A. Audit logs can be displayed at the Compartment level.
  • B. One of the key reasons to view Audit Logs is to collect security related events.
  • C. Audit Logs are disabled by default and must be manually enabled for each compartment in your tenancy.

正解:C

解説:
Explanation
A valid statement regarding the OCI Audit logs is that Audit Logs are enabled by default and do not need to be manually enabled for each compartment in your tenancy. Audit Logs are records of the API operations performed on your OCI resources. Audit Logs provide security, compliance, and governance information about your OCI resources. You can view Audit Logs at the compartment level or at the tenancy level.


質問 # 35
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)

  • A. Where to store Log data
  • B. Which Management Agents to use
  • C. Where to find Logs
  • D. Which Parsers to use

正解:C、D

解説:
Explanation
Two things that are stored in a Log Source of Logging Analytics are:
* Which parsers to use. A parser is a component that extracts fields and values from log data. A log source can have one or more parsers associated with it to enable Logging Analytics to parse and analyze the log
* data.
* Where to find logs. A log source defines the location, format, and frequency of the log data. A log source can specify a file path, a database connection string, or a Windows event log name to indicate where to find logs.


質問 # 36
Which Machine Learning based visualization is helpful in analyzing extremely large vol-umes of log records by grouping them based on their shape?

  • A. Summary Table
  • B. Cluster
  • C. Word Cloud

正解:B

解説:
Explanation
The Machine Learning based visualization that is helpful in analyzing extremely large volumes of log records by grouping them based on their shape is Cluster. Cluster is a feature of Logging Analytics that uses machine learning algorithms to group log records into clusters based on their similarity or dissimilarity. Cluster can help you reduce noise, identify patterns, detect anomalies, and troubleshoot issues from your log data.


質問 # 37
What happens in Stack Monitoring after Management agents are set up and resources are discovered?

  • A. Management agents discover resources that are running locally on the instance
  • B. Metric data is immediately collected
  • C. OCI Notifications send email notifications
  • D. Alarm rules will trigger when resources are down or performance thresholds are crossed.

正解:B

解説:
Explanation
After Management agents are set up and resources are discovered, metric data is immediately collected.
Management agents are lightweight processes that collect and send metric data from your resources to OCI services, such as Monitoring, Logging, or Stack Monitoring. Once the resources are discovered by the discovery service, the metric data is immediately collected and available for monitoring and analysis.


質問 # 38
What are the two items required to create a rule for the Oracle Cloud Infrastructure (OCI) Events Service?
(Choose two.)

  • A. Management Agent Cloud Service
  • B. Install Key
  • C. Actions
  • D. Service Connector
  • E. Rule Conditions

正解:C、E

解説:
Explanation
Two items required to create a rule for the OCI Events Service are:
* Actions. Actions are the tasks that you want to perform when an event matches your rule condition. For example, you can create an action that sends a notification, invokes a function, or streams an event.
* Rule Conditions. Rule Conditions are the criteria that you use to filter events based on their attributes or patterns. For example, you can create a rule condition that matches events related to instance creation or deletion.


質問 # 39
When would you use a vantage point in Application Performance Monitoring (APM)?

  • A. Application Insights
  • B. Distributed Tracing
  • C. Java Management
  • D. Synthetic Monitoring

正解:D

解説:
Explanation
You would use a vantage point in Synthetic Monitoring. Synthetic Monitoring is a feature of APM that allows you to create synthetic tests to monitor the availability and performance of your web applications or APIs from different locations around the world. A vantage point is a location from where you can run synthetic tests against your target applications or APIs. A vantage point can be public or dedicated depending on your needs.


質問 # 40
Which of the following is required to enable Stack Monitoring?

  • A. Dynamic group for discovery service
  • B. User group for VNC collection
  • C. Machine Learning group for resource associations

正解:A

解説:
Explanation
The required step to enable Stack Monitoring is to create a dynamic group for discovery service. A dynamic group is a group of OCI resources that match certain rules or criteria. You need to create a dynamic group for discovery service to allow Stack Monitoring to discover and monitor the resources in your stack. You also need to attach a policy to the dynamic group that grants the required permissions for Stack Monitoring.


質問 # 41
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 target.metrics.namespace-'oci_computeagent'
  • B. Restricting monitoring access only to compute instancesmetrics is not possible.
  • C. Allow group cloudops to read compute-metrics in tenancy
  • D. Allow group cloudops to read metrics in tenancy where tar-get.metrics.monitoring='oci_computeagent'

正解:D

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 # 42
Which are the TWO components that the Management Agent solution includes in the Cloud service? (Choose two.)

  • A. Cloud assets
  • B. Management Agent
  • C. Management Gateway
  • D. OCI Logging Analytics

正解:B、C

解説:
Explanation
Two components that the Management Agent solution includes in the Cloud service are:
* Management Agent. Management Agent is a lightweight process that collects and sends operational data from your resources to OCI services, such as Monitoring, Logging, or Stack Monitoring. Management Agent can collect data from various sources, such as databases, hosts, or applications.
* Management Gateway. Management Gateway is a component that enables secure communication between Management Agents and OCI services. Management Gateway acts as a proxy that encrypts and forwards data from Management Agents to OCI services.


質問 # 43
......

シミュレーションされた材料で1z0-1111-23テストエンジンで学習:https://www.jpntest.com/shiken/1z0-1111-23-mondaishu

弊社を連絡する

我々は12時間以内ですべてのお問い合わせを答えます。

オンラインサポート時間:( UTC+9 ) 9:00-24:00
月曜日から土曜日まで

サポート:現在連絡