[Jan-2024] 1z0-1111-23 Exam Dumps Pass with Updated 2024 Oracle Cloud Infrastructure 2023 Observability Professional
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NEW QUESTION # 37
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 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.
- 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 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.
- D. 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.
Answer: B
Explanation:
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 # 38
From the following, select the different metric namespaces used for APM.?
- A. AjaxDownloadTime, TotalTraceCount, Oracle_pm_rum
- B. RUM metrics, oracle_apm_monitoring, Oracle_apm_synthetic
- C. oracle_apm_monitoring namespace, synthetics, and monitoring
- D. oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring.
Answer: D
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 # 39
What are the two capabilities available in Operations Insights? (Choose two.)
- A. Capacity Planning
- B. Exadata Insights
- C. Database Fleet Monitoring
- D. Entity Topology Viewing
Answer: A,B
Explanation:
* Exadata Insights. Exadata Insights is a feature of Operations Insights that provides comprehensive monitoring and analysis of your Exadata systems, both on-premises and in the cloud. You can use Exadata Insights to view performance, utilization, availability, and configuration metrics of your Exadata systems and components. You can also use Exadata Insights to troubleshoot issues, optimize performance, and plan capacity for your Exadata systems.
* Capacity Planning. Capacity Planning is a feature of Operations Insights that helps you forecast the future resource consumption and capacity needs of your databases. You can use Capacity Planning to create scenarios based on historical trends, growth rates, and what-if analysis. You can also use Capacity Planning to compare different scenarios and identify potential risks and opportunities for your database capacity.
NEW QUESTION # 40
Which are the different data sources from where the Application Performance Monitoring (APM) Java agent can collect spans and metrics data?
- A. WebLogic, Tomcat, or JBoss
- B. Jaeger or Zipkin
- C. VMware ESXi
- D. NginX
Answer: B
Explanation:
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.
NEW QUESTION # 41
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. Metric
- E. Previous
- F. Dimensions
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 # 42
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 # 43
How does Application Performance Monitoring track all related spans for a single user request?
- A. Using User ID
- B. Using Trace ID
- C. Using Application Name
Answer: B
Explanation:
Explanation
Application Performance Monitoring tracks all related spans for a single user request using Trace ID. A trace is a collection of spans that represent a single user request or transaction. A span is a unit of work within a trace, such as an HTTP request or a database query. Each trace has a unique Trace ID that identifies it across different services and components. You can use Trace ID to search and analyze traces in Application Performance Monitoring. For more information, see Traces and Spans.
NEW QUESTION # 44
Which of the following details stored in the External Database service's database connec-tion resource are required to connect to an external database?
- A. Port, database name, connection type and management agent OCID, user credentials, and role
- B. DNS hostname, port, service name, network protocol, connection type and management agent OCID, user credentials, and role
- C. DNS hostname, database name, connection type and management agent OCID, user credentials, and role
- D. Port, service name, connection type and management agent OCID, user credentials, and role
Answer: C
Explanation:
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 # 45
Which of the following is required to enable Stack Monitoring?
- A. Machine Learning group for resource associations
- B. Dynamic group for discovery service
- C. User group for VNC collection
Answer: B
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 # 46
What is the purpose of using Resolution in a Monitoring Query Language expression?
- A. Resolution automatically resolves the alarm which is Firing state
- B. Resolution controls the total length of each time window
- C. Resolution defines the start time of each time window
- D. Resolution is used with suppression to pause alarm during system maintenance
Answer: B
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 # 47
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. Oracle section
- B. Source Section
- C. Unified Envelope
- D. Data section
Answer: C
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 # 48
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)
- A. Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations
- B. Allows Oracle Enterprise Manager's operations data for various use-cases
- C. Identifies future resource usage Oracle Cloud
- D. Provides data based on a statistical analysis of AI data
Answer: A,B
Explanation:
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 # 49
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply? (Choose two.)
- A. Use histogram records
- B. Use parsed logs search
- C. Use specific keywords
- D. Use time-picker to limit the volume of logs
Answer: B,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 # 50
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. Resending notifications depends on the total metric streams returned from the query.
- B. Repeat notification was not enabled while creating the Alarm.
- C. OCI Monitoring service can send only one notification per Alarm Definition when the alarm condition is met.
- D. Trigger Condition was not configured while defining the Alarm.
Answer: B
Explanation:
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 # 51
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 compute-metrics in tenancy
- B. Allow group cloudops to read metrics in tenancy where tar-get.metrics.monitoring='oci_computeagent'
- C. Allow group cloudOps to read metrics in tenancy where target.metrics.namespace-'oci_computeagent'
- D. Restricting monitoring access only to compute instancesmetrics is not possible.
Answer: B
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 # 52
What is enabled by the SQL Warehouse application within Operations Insights?
- A. Insights into the SQL performance
- B. Reduced Operations costs
- C. Trend and Forecast resource requirements.
- D. Consolidated Databases
Answer: A
Explanation:
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 # 53
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