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Oracle 1z0-1111-23 Exam Syllabus Topics:
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NEW QUESTION # 29
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)
- A. Climbing
- B. Efficient
- C. Plan changes
- D. Degraded
Answer: C,D
Explanation:
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 # 30
What step must be performed to enable Operations Insights for an Autonomous Database?
- A. Create an Object Storage Bucket for the Database
- B. Configure an OCI Bridge for the Database
- C. Install a Management Agent on the Database
- D. Enable Operations Insights for the Database
Answer: D
Explanation:
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.
NEW QUESTION # 31
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply? (Choose two.)
- A. Use parsed logs search
- B. Use time-picker to limit the volume of logs
- C. Use histogram records
- D. Use specific keywords
Answer: A,B
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 # 32
What are the TWO features that are available for an Autonomous Database that is enabled with Database Management? (Choose two.)
- A. Number of queued and running SQL statements
- B. Generate AWR report for selected time period
- C. View average active session by CPU, I/O and wait depending on the deployment type
- D. Monitor and analyze optimizer statistics advisor tasks and implement recommendations
Answer: B,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 # 33
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. Source Section
- C. Oracle section
- D. Unified Envelope
Answer: D
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 # 34
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 defines the start time of each time window
- C. Resolution automatically resolves the alarm which is Firing state
- D. Resolution is used with suppression to pause alarm during system maintenance
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 # 35
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 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.
- B. 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.
- 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: A
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 # 36
Which of the following statement is NOTIvalid regarding Management Agent Cloud Service?
- A. 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.
- B. Management Agent Cloud Service is self monitored.
- C. Management Agent Cloud service enables on demand execution of operations against monitored resources.
- D. Management Agent Cloud Service transport customer data to Logging Analytics, OCI Monitoring, or even a custom endpoint hosted in OCI.
Answer: A
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 # 37
How does Application Performance Monitoring track all related spans for a single user request?
- A. Using Trace ID
- B. Using Application Name
- C. Using User ID
Answer: A
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 # 38
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)
- A. Management Agent
- B. Browser Agent
- C. Java Agent
- D. Cloud Agent
Answer: B,C
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 # 39
Which is a valid Log Category name in Oracle Cloud Infrastructure (OCI) Logging Service?
- A. VCN Logs
- B. OCI Agent Logs
- C. Custom Logs
- D. System Logs
Answer: C
Explanation:
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 # 40
Which TWO resources can be monitored by Stack Monitoring? (Choose two.)
- A. Oracle External Databases
- B. Object Storage Buckets
- C. WebLogic Servers
- D. Virtual Cloud Networks
Answer: A,C
Explanation:
Explanation
Stack Monitoring can monitor Oracle External Databases and WebLogic Servers as resources. Stack Monitoring is a feature of Application Performance Monitoring that allows you to monitor the performance and availability of your entire application stack, including databases, servers, containers, and functions. You can create custom stacks by selecting the resources that you want to monitor and view their metrics, alerts, and topology in a single dashboard. For more information, see Stack Monitoring.
NEW QUESTION # 41
What happens in Stack Monitoring after Management agents are set up and resources are discovered?
- A. OCI Notifications send email notifications
- B. Management agents discover resources that are running locally on the instance
- C. Metric data is immediately collected
- D. Alarm rules will trigger when resources are down or performance thresholds are crossed.
Answer: C
Explanation:
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 # 42
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
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
When would you use a vantage point in Application Performance Monitoring (APM)?
- A. Application Insights
- B. Distributed Tracing
- C. Java Management
- D. Synthetic Monitoring
Answer: D
Explanation:
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.
NEW QUESTION # 44
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 # 45
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. Provides data based on a statistical analysis of AI data
- D. Identifies future resource usage Oracle Cloud
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 # 46
What are two examples of a Stack Monitoring deployment model? (Choose two.)
- A. Resources running on Management gateway
- B. Resources running on OCI compute instances
- C. Resources running on-premises
- D. Resources running on a network appliance
Answer: B,C
Explanation:
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.
NEW QUESTION # 47
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?
- A. Object Store Bucket
- B. Object Store
- C. Object Collection Rule
- D. Object Storage
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 # 48
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. Trace performance issues in OCI Application Performance Monitoring service by enabling Function traces.
- B. Configure a Service Connector to automatically send logs into the OCI Logging Analytics service.
- C. View service metric information from the OCI Monitoring service.
- D. Leverage OCI Cloud Guard to extract and visualizedebug logs generated by your application.
- E. Configure the application to send logs into OCI Logging service.
Answer: D
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 # 49
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
Answer: C
Explanation:
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.
NEW QUESTION # 50
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.)
- A. OCI CLI command, ocios bucket create auto
- B. Cloud Agent Plugin for the compute instance
- C. Events Service
- D. Oracle Functions
- E. Service Connector Hub
Answer: D,E
Explanation:
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.
NEW QUESTION # 51
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