Latest [Jul 30, 2024] Oracle 1z0-1111-23 Exam Practice Test To Gain Brilliante Result [Q26-Q51]

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Latest [Jul 30, 2024] Oracle 1z0-1111-23 Exam Practice Test To Gain Brilliante Result

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Oracle 1z0-1111-23 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Discover resources and monitor using metrics
  • Creating visualization with key data points using Dashboards
Topic 2
  • Key Concepts of Monitoring Service
  • Explain the key concepts of Events Service
  • Manage and search logs from log estates
Topic 3
  • Explain the architecture of the Management Agent cloud service
  • Identifying patterns and root causes from log data using Logging Analytics
Topic 4
  • Instrument applications for data collection
  • Monitoring environments using Monitoring Service
Topic 5
  • Visualizing log data using Logging Service
  • Responding to cloud resource changes in real-time using Events Service
Topic 6
  • Enable log ingestion methods for Logging Analytics
  • Enabling data collection across environments using Management Agent

 

NEW QUESTION # 26
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 can be displayed at the Compartment level.
  • C. Audit Logs are disabled by default and must be manually enabled for each compartment in your tenancy.

Answer: C

Explanation:
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.


NEW QUESTION # 27
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?

  • A. ObjectCollectionRule
  • B. IAM policy
  • C. Service Connector
  • D. Logging Query

Answer: C

Explanation:
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 # 28
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)

  • A. Management Agent
  • B. Cloud Agent
  • C. Java Agent
  • D. Browser Agent

Answer: C,D

Explanation:
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.


NEW QUESTION # 29
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?

  • A. Configure the application to send logs into OCI Logging service.
  • B. Leverage OCI Cloud Guard to extract and visualizedebug logs generated by your application.
  • C. Configure a Service Connector to automatically send logs into the OCI Logging Analytics service.
  • D. Trace performance issues in OCI Application Performance Monitoring service by enabling Function traces.
  • E. View service metric information from the OCI Monitoring service.

Answer: B

Explanation:
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 # 30
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. Data section
  • B. Unified Envelope
  • C. Source Section
  • D. Oracle section

Answer: B

Explanation:
Explanation
The section within a Log that contains the Log Group's OCID is Unified Envelope. Unified Envelope is a standard format that wraps around any log record collected by Logging Service. Unified Envelope contains metadata about the log record, such as timeCreated, compartmentId, logGroupId, or source. The logGroupId field contains the OCID of the Log Group that the log record belongs to.


NEW QUESTION # 31
Which statement is NOT valid about creating an alarm query in Oracle Cloud Infrastructure (OCI) Monitoring?

  • A. You must specify a statistic.
  • B. You must specify a metric.
  • C. You must specify a resource group.
  • D. You must specify an interval.

Answer: C

Explanation:
Explanation
A valid statement about creating an alarm query in OCI Monitoring is that you must specify a resource group.
A resource group is an optional feature that allows you to group metrics by certain attributes or tags. By specifying a resource group in your alarm query, you can filter out the metrics that belong to different resource groups and focus on the ones that are relevant for your alarm condition.


NEW QUESTION # 32
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 collection of users, roles and identity data managing access to APM
  • C. A set of resources supporting high-availability connectivity to APM
  • D. A resource type containing the systems monitored by APM

Answer: D

Explanation:
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.


NEW QUESTION # 33
What is the purpose of using Resolution in a Monitoring Query Language expression?

  • A. Resolution controls the total length of each time window
  • B. Resolution is used with suppression to pause alarm during system maintenance
  • C. Resolution defines the start time of each time window
  • D. Resolution automatically resolves the alarm which is Firing state

Answer: A

Explanation:
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 # 34
What are the TWO features that are available for an Autonomous Database that is enabled with Database Management? (Choose two.)

  • A. Generate AWR report for selected time period
  • B. View average active session by CPU, I/O and wait depending on the deployment type
  • C. Number of queued and running SQL statements
  • D. Monitor and analyze optimizer statistics advisor tasks and implement recommendations

Answer: A,D

Explanation:
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 # 35
Which response contains rich information to process for analytics?

  • A. Database Audit Logs
  • B. Entity types
  • C. Log Sources
  • D. Logging Analytic Entities

Answer: A

Explanation:
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.


NEW QUESTION # 36
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. Which Parsers to use
  • D. Where to find Logs

Answer: C,D

Explanation:
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.


NEW QUESTION # 37
Which statement is valid for auto-upgrade of Management Agent?

  • A. Users cannot disable "auto-upgrade"
  • B. Auto-upgrade option is not available for Management Agent
  • C. Auto-upgrade is always enabled by default (no action is needed)
  • D. Auto-upgrade is an opt-in/opt-out feature at the tenancy level

Answer: A

Explanation:
Explanation
A valid statement for auto-upgrade of Management Agent is that users cannot disable "auto-upgrade".
Auto-upgrade is a feature that automatically updates the Management Agent software to the latest version when it is available. Auto-upgrade is always enabled by default and cannot be disabled by users. Auto-upgrade ensures that the Management Agent software is always up to date and secure.


NEW QUESTION # 38
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 compute-metrics in tenancy
  • C. Restricting monitoring access only to compute instancesmetrics is not possible.
  • D. Allow group cloudOps to read metrics in tenancy where target.metrics.namespace-'oci_computeagent'

Answer: A

Explanation:
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'


NEW QUESTION # 39
In Application Performance Monitoring (APM), where isthe span context information located during transfer?

  • A. in the browser and the microservices
  • B. in HTTP header
  • C. in HTTP call
  • D. in the service boundaries

Answer: B

Explanation:
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.


NEW QUESTION # 40
Which is one of the primary use case for the circleCloud Infrastructure (OCI) Observabilityand Management (O&M) Logging Analytics service?

  • A. Create OCI resources automatically based on log events and reports
  • B. Centralize and relocate any log based on a subscription model
  • C. Monitor, aggregate, index, and analyze log data

Answer: C

Explanation:
Explanation
One of the primary use cases for the OCI Observability and Management (O&M) Logging Analytics service is to monitor, aggregate, index, and analyze log data. Logging Analytics is a feature of O&M that provides a unified platform for managing and analyzing log data from various sources, such as OCI services, on-premises systems, or custom applications. Logging Analytics can help you reduce noise, identify patterns, detect anomalies, and troubleshoot issues from your log data.


NEW QUESTION # 41
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

Answer: C

Explanation:
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 # 42
Which of the following is required to enable Stack Monitoring?

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

Answer: A

Explanation:
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.


NEW QUESTION # 43
From the following, select the different metric namespaces used for APM.?

  • A. oracle_apm_monitoring namespace, synthetics, and monitoring
  • B. oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring.
  • C. RUM metrics, oracle_apm_monitoring, Oracle_apm_synthetic
  • D. AjaxDownloadTime, TotalTraceCount, Oracle_pm_rum

Answer: B

Explanation:
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.


NEW QUESTION # 44
Which is the correct monitoring query that will monitor the CPU utilization threshold including an alarm?

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

Answer: A

Explanation:
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.


NEW QUESTION # 45
Which TWO are examples of data telemetry sources of Operations Insights? (Choose two.)

  • A. DOCI streams
  • B. Enterprise Manager
  • C. Management Agent
  • D. OCI Functions

Answer: B,C

Explanation:
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 # 46
Which Machine Learning based visualization is helpful in analyzing extremely large vol-umes of log records by grouping them based on their shape?

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

Answer: B

Explanation:
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 # 47
Which TWO actions can be performed using the Database Management Service in Oracle Cloud Infrastructure (OCI)? (Choose two.)

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

Answer: B,C

Explanation:
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.


NEW QUESTION # 48
Which TWO components are optional while crihating the Monitoring Query Language (MQL) expressions in the Oracle Cloud Infrastructure (OCI) Monitoring service? (Choose two.)

  • A. Statistic
  • B. Interval
  • C. Grouping Function
  • D. Dimensions
  • E. Previous
  • F. Metric

Answer: A,C

Explanation:
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 # 49
Which of the following statement is NOTIvalid regarding Management Agent Cloud Service?

  • A. Management Agent Cloud Service transport customer data to Logging Analytics, OCI Monitoring, or even a custom endpoint hosted in OCI.
  • 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 is self monitored.
  • D. Management Agent Cloud service enables on demand execution of operations against monitored resources.

Answer: B

Explanation:
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.


NEW QUESTION # 50
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply? (Choose two.)

  • A. Use specific keywords
  • B. Use histogram records
  • C. Use time-picker to limit the volume of logs
  • D. Use parsed logs search

Answer: C,D

Explanation:
Explanation
Two ways to reduce Logging Analytics noise are:
* Use time-picker to limit the volume of logs. Time-picker is a tool that lets you select a specific time range for your log search and analysis. By using time-picker, you can reduce the volume of logs and focus on the relevant time period for your use case.
* Use parsed logs search. Parsed logs search is a feature that lets you search for log records based on the extracted fields and values from the log data. By using parsed logs search, you can filter out the noise and find the log records that match your criteria.


NEW QUESTION # 51
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