Free 1z0-1111-23 Exam Files Downloaded Instantly 100% Dumps & Practice Exam [Q20-Q41]

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Free 1z0-1111-23 Exam Files Downloaded Instantly 100% Dumps & Practice Exam

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NEW QUESTION 20
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?

Logging Query

IAM policy

Service Connector

ObjectCollectionRule

Explanation
To archive logging data into OCI Object Storage, you can use Service Connector Hub, which is a cloud message bus platform that offers a single pane of glass for describing, running, and monitoring interactions when moving data between OCI services. You can create a service connector that has Logging as the source service and Object Storage as the target service. This service connector will automatically move your logging data from Logging to Object Storage based on your configuration.

NEW QUESTION 21
Which TWO components are optional while crihating the Monitoring Query Language (MQL) expressions in the Oracle Cloud Infrastructure (OCI) Monitoring service? (Choose two.)

Interval

Dimensions

Grouping Function

Metric

Statistic

Explanation
Two components that are optional while creating MQL expressions in OCI Monitoring service are Grouping Function and Statistic. MQL expressions are queries that specify how to retrieve and process metric data from OCI Monitoring service. MQL expressions consist of various components, such as metric name, dimensions, filters, functions, operators, or constants. Some components are mandatory while others are optional depending on your use case. Grouping Function is an optional component that specifies how to aggregate metric data across different metric streams based on certain attributes or tags. Statistic is an optional component that specifies how to summarize metric data within each time window based on certain calculations or methods.

NEW QUESTION 22
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)

Climbing

Plan changes

Efficient

Degraded

Explanation
Two SQL Warehouse categories to analyze SQL Performance in Operations Insights are:
* Plan changes. Plan changes are SQL statements that have experienced a change in their execution plan over time. Plan changes can affect the performance and resource consumption of SQL statements.
* Degraded. Degraded are SQL statements that have experienced a decrease in their performance over time. Degraded SQL statements can cause performance issues and resource contention in your databases.

NEW QUESTION 23
Which of the following capabilities does the performance management feature of Database Management Services offer to a managed database?

Visualizes and performs trend analysis from AWR data to detect issues using AWR explorer

Automatically invokes full stats gathering of objects to improve performance of regressed SQLS

Dynamically modifies database initialization parameters to improve performance

Explanation
The performance management feature of Database Management Services offers the capability to visualize and perform trend analysis from AWR data to detect issues using AWR explorer. AWR explorer is a tool that lets you view and analyze the Automatic Workload Repository (AWR) data from your databases. You can use AWR explorer to compare performance across different time periods, identify performance bottlenecks, and troubleshoot issues.

NEW QUESTION 24
Which of the following details stored in the External Database service’s database connec-tion resource are required to connect to an external database?

Port, service name, connection type and management agent OCID, user credentials, and role

Port, database name, connection type and management agent OCID, user credentials, and role

DNS hostname, database name, connection type and management agent OCID, user credentials, and role

DNS hostname, port, service name, network protocol, connection type and management agent OCID, user credentials, and role

Explanation
The details stored in the External Database service’s database connection resource that are required to connect to an external database are DNS hostname, database name, connection type and management agent OCID, user credentials, and role. These details specify the information needed to establish a secure connection to the external database using amanagement agent. The DNS hostname is the fully qualified domain name of the host where the external database is running. The database name is the unique name of the external database. The connection type is the protocol used to connect to the external database, such as JDBC or OCI. The management agent OCID is the unique identifier of the management agent that is installed on the host where the external database is running. The user credentials are the username and password of the user who has access to the external database. The role is the privilege level of the user, such as normal or sysdba.

NEW QUESTION 25
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?

Object Store

Object Store Bucket

Object Collection Rule

Object Storage

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.

NEW QUESTION 26
Which is a valid Log Category name in Oracle Cloud Infrastructure (OCI) Logging Service?

Custom Logs

System Logs

OCI Agent Logs

VCN Logs

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.

NEW QUESTION 27
Choose two FluentD scenarios that apply when using continuous Log Collection with cli-ent-side processing.?
(Choose two.)

Monitoring systems that are not currently supported by Management agent

Managing apps/services which push logs to Object Storage

Log Source

Comprehensive monitoring for OKE/Kubernetes

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.

NEW QUESTION 28
What is enabled by the SQL Warehouse application within Operations Insights?

Insights into the SQL performance

Consolidated Databases

Trend and Forecast resource requirements.

Reduced Operations costs

Explanation
The SQL Warehouse application within Operations Insights enables insights into the SQL performance. SQL Warehouse is a feature of Operations Insights that provides a centralized repository of SQL performance data from your databases. You can use SQL Warehouse to analyze, compare, and optimize the SQL performance across your database fleet. You can also use SQL Warehouse to identify and troubleshoot SQL performance issues, such as high resource consumption, long execution time, or plan changes.

NEW QUESTION 29
Why do dedicated Vantage points matter? Select two reasons that apply.? (Choose two.)

Test internal customer applications

Applications on-premise or on secured network cannot be tested from a public Vantage Point

Applications on-premise or secured network can be tested from a public Vantage Point

Test Deployment Manager and Scheduler

Explanation
Two reasons why dedicated Vantage points matter are:
* Test internal customer applications. Dedicated Vantage points are private Vantage points that you can deploy in your own network or cloud environment. Dedicated Vantage points allow you to test internal customer applications that are not accessible from the public internet, such as intranet applications or applications behind a firewall.
* Applications on-premise or on secured network cannot be tested from a public Vantage Point. Public Vantage points are Vantage points that are hosted and managed by Oracle in various regions around the world. Public Vantage points allow you to test external customer applications that are accessible from the public internet, such as web applications or APIs. However, public Vantage points cannot test applications that are on-premise or on secured network, as they do not have access to those environments.

NEW QUESTION 30
What is the purpose of using Resolution in a Monitoring Query Language expression?

Resolution is used with suppression to pause alarm during system maintenance

Resolution defines the start time of each time window

Resolution controls the total length of each time window

Resolution automatically resolves the alarm which is Firing state

Explanation
The purpose of using Resolution in a Monitoring Query Language expression is to control the total length of each time window. Resolution is a parameter that specifies how often the query is evaluated and how the metric data is aggregated. For example, a resolution of 1m means that the query is evaluated every minute and the metric data is aggregated into one-minute intervals. Resolution affects the granularity and accuracy of the query results and the alarm condition.

NEW QUESTION 31
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?

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.

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.

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.

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.

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.

NEW QUESTION 32
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 fortroubleshooting issues in OCI?

View service metric information from the OCI Monitoring service.

Configure the application to send logs into OCI Logging service.

Leverage OCI Cloud Guard to extract and visualizedebug logs generated by your application.

Configure a Service Connector to automatically send logs into the OCI Logging Analytics service.

Trace performance issues in OCI Application Performance Monitoring service by enabling Function traces.

Explanation
An invalid option for troubleshooting issues in OCI is to leverage OCI Cloud Guard to extract and visualize debug logs generated by your application. OCI Cloud Guard is a service that provides security posture management and threat detection for your OCI resources. Cloud Guard does not extract or visualize debug logs generated by your application. To troubleshoot issues using debug logs, you can use OCI Logging or Logging Analytics services.

NEW QUESTION 33
Which Logging Analytics concept represents an asset on your host that could provide log data?

Entity

Source

Association

Parser

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.

NEW QUESTION 34
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)

Provides data based on a statistical analysis of AI data

Allows Oracle Enterprise Manager’s operations data for various use-cases

Identifies future resource usage Oracle Cloud

Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations

Explanation
Two benefits of Observability Lakehouse in Operations Insights are:
Allows Oracle Enterprise Manager’s operations data for various use-cases. Observability Lakehouse is a data lake that stores and analyzes operational data from different sources, such as Oracle Enterprise Manager, Oracle Cloud Infrastructure, and Autonomous Database. You can use Observability Lakehouse to access and query your operations data for various use-cases, such as performance analysis, capacity planning, anomaly detection, and root cause analysis.
* Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations.
Observability Lakehouse provides a rich set of analytical functions and tools that let you perform custom analytics on your operations data. You can use Observability Lakehouse to create trends, forecasts, capacity plans, workload profiles, and other insights that can help you optimize your operations and performance.

NEW QUESTION 35
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?

Repeat notification was not enabled while creating the Alarm.

Trigger Condition was not configured while defining the Alarm.

Resending notifications depends on the total metric streams returned from the query.

OCI Monitoring service can send only one notification per Alarm Definition when the alarm condition is met.

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.

NEW QUESTION 36
What are the TWO features that are available for an Autonomous Database that is enabled with Database Management? (Choose two.)

Monitor and analyze optimizer statistics advisor tasks and implement recommendations

View average active session by CPU, I/O and wait depending on the deployment type

Number of queued and running SQL statements

Generate AWR report for selected time period

Explanation
Two features that are available for an Autonomous Database that is enabled with Database Management are:
* Monitor and analyze optimizer statistics advisor tasks and implement recommendations. Database Management provides a feature called OptimizerStatistics Advisor that analyzes the optimizer statistics collection tasks on your Autonomous Database and provides recommendations for improving performance and efficiency. You can use Database Management to monitor and analyze the advisor tasks and implement the recommendations.
* Generate AWR report for selected time period. Database Management also provides a feature called Automatic Workload Repository (AWR) Report that generates a report of the performance statistics and workload information of your Autonomous Database for a selected time period. You can use Database Management to generate AWR reports and view them in HTML or text format.

NEW QUESTION 37
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?

Audit Analysis Dashboard

ObjectCollectionRule

Service Connector Hub

Management Agent Log Ingestion

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.

NEW QUESTION 38
Which TWO are examples of data telemetry sources of Operations Insights? (Choose two.)

OCI Functions

Enterprise Manager

DOCI streams

Management Agent

Explanation
Two examples of data telemetry sources of Operations Insights are:
* Enterprise Manager. Enterprise Manager is an on-premises tool that provides comprehensive management and monitoring of Oracle databases and applications. Enterprise Manager can send operational data, such as performance metrics, configuration data, and SQL data, to Operations Insights for analysis and optimization.
* 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 Operations Insights. Management Agent can collect data from various sources, such as databases, hosts, or applications.

NEW QUESTION 39
Which Machine Learning based visualization is helpful in analyzing extremely large vol-umes of log records by grouping them based on their shape?

Word Cloud

Cluster

Summary Table

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.

NEW QUESTION 40
What happens in Stack Monitoring after Management agents are set up and resources are discovered?

Alarm rules will trigger when resources are down or performance thresholds are crossed.

OCI Notifications send email notifications

Metric data is immediately collected

Management agents discover resources that are running locally on the instance

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.

NEW QUESTION 41
You have been asked to run queries against the OracleCloud Infrastructure (OCI) monitoring data. The data request is an aggregated query. You get the following error: query has exceeded the maximum number of metric streams Which step would you take to run the aggregated query correctly against OCI?

Reduce the query and limit the number of streams by specifying dimensions.

Ignore the error because aggregating multiple metric streams is not supported.

Check the OCI Identity and Access Management (IAM) policy and re-run the query.

Increase the query limits and the number of streams by specifying dimensions.

Explanation
To run the aggregated query correctly against OCI, you need to reduce the query and limit the number of streams by specifying dimensions. Dimensions are key-value pairs that define the characteristics of a metric.
By adding dimensions to your query, you can filter out the irrelevant metric streams and avoid exceeding the maximum number of metric streams. For more information, see Querying Metrics.

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