New 2024 Realistic Free Oracle 1z0-1111-23 Exam Dump Questions & Answer [Q16-Q35]

February 7, 2024 admin 0 Comments

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New 2024 Realistic Free Oracle 1z0-1111-23 Exam Dump Questions and Answer

1z0-1111-23 Practice Test Engine: Try These 69 Exam Questions

Oracle 1z0-1111-23 Exam Syllabus Topics:

Topic	Details
Topic 1	Describe Event Structure, Event Types, and Rules Configure metrics and alarm definitions using best practices
Topic 2	Visualizing log data using Logging Service Responding to cloud resource changes in real-time using Events Service
Topic 3	Instrument applications for data collection Monitoring environments using Monitoring Service
Topic 4	Enable log ingestion methods for Logging Analytics Enabling data collection across environments using Management Agent
Topic 5	Key Concepts of Monitoring Service Explain the key concepts of Events Service Manage and search logs from log estates

NO.16 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.

NO.17 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.

NO.18 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.

NO.19 What are two examples of a Stack Monitoring deployment model? (Choose two.)

Resources running on a network appliance

Resources running on OCI compute instances

Resources running on Management gateway

Resources running on-premises

Explanation
Two examples of a Stack Monitoring deployment model are:
* Resources running on OCI compute instances. Stack Monitoring can monitor resources that are running on OCI compute instances, such as web servers, containers, or functions. Stack Monitoring can discover these resources using Management Agents or Functions Discovery Service.
* Resources running on-premises. Stack Monitoring can also monitor resources that are running on-premises, such as databases or applications. Stack Monitoring can discover these resources using Enterprise Manager Bridge or Management Agents.

NO.20 Which is NOT a valid statement regarding the Oracle Cloud Infrastructure (OCI) Audit logs?

Audit Logs are disabled by default and must be manually enabled for each compartment in your tenancy.

One of the key reasons to view Audit Logs is to collect security related events.

Audit logs can be displayed at the Compartment level.

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.

NO.21 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 fromthese instances. There is a requirement to archive Info-level logging data of these instances into the OCI Object Storage. Which TWO features of OCI can help you achieve this? (Choose two.)

Service Connectors

Cloud Agent Plugin Grouping Function

Agent Configuration

ObjectCollection Rule

Explanation
Two features of OCI that can help you archive Info-level logging data of these instances into the OCI Object Storage are:
* Service Connectors. Service Connectors are components of Service Connector Hub that enable data movement between OCI services. You can create a service connector that has Logging as the source service and Object Storage as thetarget service. You can also specify filters to select only the Info-level logs from your instances.
* 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. For more information, see [Service Connector Hub Overview] and [ObjectCollection Rule].

NO.22 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.

NO.23 In Application Performance Monitoring (APM), a distributed tracing user initiates a re-quest through a browser. What is the first span called?

Ajax call

Root span

Trace id

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.

NO.24 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.

NO.25 Which is the correct monitoring query that will monitor the CPU utilization threshold including an alarm?

Cpuutilization [Im].max()

CpuUtilization [1m] (shape “VM.Standard.E4.Flex”) .max()”

cpuutilization[1m] .max().grouping().sum()

(CpuUtilization[1m] .max()> 80).grouping().sum ()

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.

NO.26 From the following, select the different metric namespaces used for APM.?

oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring.

RUM metrics, oracle_apm_monitoring, Oracle_apm_synthetic

oracle_apm_monitoring namespace, synthetics, and monitoring

AjaxDownloadTime, TotalTraceCount, Oracle_pm_rum

Explanation
The different metric namespaces used for APM are oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring. A metric namespace is a unique name that identifies the source of the metrics. For APM, there are three metric namespaces that correspond to the three features of APM: Real User Monitoring (oracle_apm_rum), Synthetic Monitoring (oracle_apm_synthetics), and Application Performance Monitoring (oracle_apm_monitoring). You can use these metric namespaces to query and analyze metrics from APM. For more information, see APM Metrics.

NO.27 What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)

Cloud Agent

Management Agent

Browser Agent

Java Agent

Explanation
Two APM agents that Application Performance Monitoring can use to collect data are Browser Agent and Java Agent. Browser Agent is a JavaScript snippet that can be embedded in web pages to collect Real User Monitoring (RUM) data, such as page load time, network latency, or user interactions. Java Agent is a Java library that can be attached to Java applications to collect Application Performance Monitoring (APM) data, such as traces, spans, metrics, or errors.

NO.28 Which TWO items describe the capabilities of the Oracle Cloud Infrastructure (OCI) Database Management Service? (Choose two.)

Perform management tasks across a group of databases

Monitor database performance

Analyze SQL response time across a group of databases

View database log entries

Explanation
Two items that describe the capabilities of the OCI Database Management Service are:
* Perform management tasks across a group of databases. Database Management Service provides a feature called Database Fleet Management that allows you to perform management tasks across a group of databases in yourtenancy. You can use Database Fleet Management to view and compare the configuration, performance, and security of your databases. You can also use Database Fleet Management to execute SQL commands or scripts on multiple databases at once.
* Monitor database performance. Database Management Service also provides various tools and dashboards that let you 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.

NO.29 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?

Logging

Audit

Management Agent

Notifications

Service Connectors

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.

NO.30 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.

NO.31 Which are the different data sources from where the Application Performance Monitoring (APM) Java agent can collect spans and metrics data?

Jaeger or Zipkin

VMware ESXi

WebLogic, Tomcat, or JBoss

NginX

Explanation
The data sources from where the APM Java agent can collect spans and metrics data are Jaeger or Zipkin.
Jaeger and Zipkin are open source distributed tracing systems that provide end-to-end visibility into complex transactions across multiple services and components. The APM Java agent can collect spans and metrics data from Jaeger or Zipkin compatible applications and send them to APM for analysis and visualization.

NO.32 Which Management Agent group allows the agent to upload data to the discovery service?

Mgmt_agent_dynamic_group

StackMonitoringAdminGrp

AgentUsersGrp

StackMonitoringViewerGrp

Explanation
The Management Agent group that allows the agent to upload data to the discovery service is AgentUsersGrp.
AgentUsersGrp is a predefined dynamic group that contains all the Management Agents in your tenancy. You need to attach a policy to this group that grants the permission to upload data to the discovery service endpoint.

NO.33 Which answer best defines an Application Performance Monitoring (APM) Domain in Oracle Cloud Infrastructure (OCI)?

A collection of users, roles and identity data managing access to APM

A set of resources supporting high-availability connectivity to APM

A resource type containing the systems monitored by APM

A compartment containing the data collected by APM

Explanation
An Application Performance Monitoring (APM) Domain in OCI is a resource type containing the systems monitored by APM. An APM Domain defines the scope and boundaries of the systems that you want to monitor with APM, such as microservices applications, web servers, databases, or functions. You can create multiple APM Domains for different purposes or environments, such as development, testing, or production.

NO.34 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.

NO.35 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.)

OCI CLI command, ocios bucket create auto

Cloud Agent Plugin for the compute instance

Oracle Functions

Service Connector Hub

Events Service

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.

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