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1z0-1111-23 Actual Questions Answers PDF 100% Cover Real Exam Questions
Oracle 1z0-1111-23 Exam Syllabus Topics:
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NEW QUESTION # 33
Which TWO Observability and Management (O&M) services are supported by Management Agent? (Choose two.)
- A. Logging Analytics
- B. Enterprise Manager
- C. Database Management
- D. Application Performance Management
Answer: A,B
Explanation:
Explanation
Enterprise Manager is a service that provides comprehensive monitoring and administration capabilities for Oracle Database and Engineered Systems1. Management Agent enables Enterprise Manager to discover, monitor, and manage targets on Oracle Cloud Infrastructure, on-premises, or on other public clouds2.
Logging Analytics is a service that enables devops teams to monitor and troubleshoot issues faster by analyzing data from any source using interactive, intuitive dashboards1. Management Agent collects log data from various sources and sends it to Logging Analytics for parsing and indexing2.
NEW QUESTION # 34
How does Application Performance Monitoring track all related spans for a single user request?
- A. Using Trace ID
- B. Using User ID
- C. Using Application Name
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 # 35
Which of the following capabilities does the performance management feature of Database Management Services offer to a managed database?
- A. Dynamically modifies database initialization parameters to improve performance
- B. Automatically invokes full stats gathering of objects to improve performance of regressed SQLS
- C. Visualizes and performs trend analysis from AWR data to detect issues using AWR explorer
Answer: C
Explanation:
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 # 36
Which TWO items describe the capabilities of the Oracle Cloud Infrastructure (OCI) Database Management Service? (Choose two.)
- A. Monitor database performance
- B. Perform management tasks across a group of databases
- C. Analyze SQL response time across a group of databases
- D. View database log entries
Answer: A,B
Explanation:
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.
NEW QUESTION # 37
Which TWO functions does the Trace Explorer allowyou to do in Application Performance Monitoring (APM)? (Choose two.)
- A. Select pre-defined queries for common use cases
- B. Define custom metrics for traces
- C. View the details of specific spans
- D. Display status of monitored systems
Answer: A,C
Explanation:
Explanation
Two functions that the Trace Explorer allows you to do in APM are:
* View the details of specific spans. Trace Explorer is a tool that lets you view and analyze the traces and spans collected by APM. You can use Trace Explorer to drill down into the details of specific spans, such as duration, status, tags, logs, and errors.
* Select pre-defined queries for common use cases. Trace Explorer also provides a set of pre-defined queries that can help you find traces and spans based on common use cases, such as slowest traces, error traces, or traces by service name.
NEW QUESTION # 38
Which TWO are examples of data telemetry sources of Operations Insights? (Choose two.)
- A. OCI Functions
- B. DOCI streams
- C. Enterprise Manager
- D. Management Agent
Answer: C,D
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 # 39
What is enabled by the SQL Warehouse application within Operations Insights?
- A. Consolidated Databases
- B. Trend and Forecast resource requirements.
- C. Insights into the SQL performance
- D. Reduced Operations costs
Answer: C
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 # 40
Which pillars of Observability are available as a single view from the Dashboard?
- A. Log data, Query language, Dashboard widgets
- B. Compute, Storage, and Network
- C. Logging Analytics, Database Management, Stack Monitoring
- D. Logs, Metrics, and Traces
Answer: D
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 # 41
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 # 42
When would you use a vantage point in Application Performance Monitoring (APM)?
- A. Java Management
- B. Synthetic Monitoring
- C. Application Insights
- D. Distributed Tracing
Answer: B
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 # 43
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 defines the start time of each time window
- C. Resolution is used with suppression to pause alarm during system maintenance
- D. Resolution controls the total length of each time window
Answer: D
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 # 44
Choose two FluentD scenarios that apply when using continuous Log Collection with cli-ent-side processing.?
(Choose two.)
- A. Comprehensive monitoring for OKE/Kubernetes
- B. Monitoring systems that are not currently supported by Management agent
- C. Managing apps/services which push logs to Object Storage
- D. Log Source
Answer: A,B
Explanation:
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 # 45
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 # 46
Which TWO are use cases of Oracle Cloud Infrastructure (OCI) Events Service? (Choose two.)
- A. Perform configuration management for deploying, configuring, and managing servers
- B. Perform cleanup tasks when an OCI resource is terminated
- C. Process files when they are uploaded in an Object Storage bucket
- D. Migrate Events generated by OCI resources from a Source to Target services
Answer: B,C
Explanation:
Explanation
Two use cases of OCI Events Service are:
* Perform cleanup tasks when an OCI resource is terminated. For example, you can create an event rule that triggers a function when an instance is terminated (com.oraclecloud.computeapi.terminateinstance.end). The function can perform some cleanup tasks, such as deleting associated resources or sending notifications.
* Process files when they are uploaded in an Object Storage bucket. For example, you can create an event rule that triggers a function when an object is created in a bucket
* (com.oraclecloud.objectstorage.createobject). The function can process the file, such as resizing an image or converting a document format. For more information, see Events Overview.
NEW QUESTION # 47
Which statement is NOT valid about creating an alarm query in Oracle Cloud Infrastructure (OCI) Monitoring?
- A. You must specify an interval.
- B. You must specify a statistic.
- C. You must specify a resource group.
- D. You must specify a metric.
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 # 48
Which Management Agent group allows the agent to upload data to the discovery service?
- A. StackMonitoringAdminGrp
- B. StackMonitoringViewerGrp
- C. Mgmt_agent_dynamic_group
- D. AgentUsersGrp
Answer: D
Explanation:
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.
NEW QUESTION # 49
What happens in Stack Monitoring after Management agents are set up and resources are discovered?
- A. Management agents discover resources that are running locally on the instance
- B. OCI Notifications send email notifications
- C. Alarm rules will trigger when resources are down or performance thresholds are crossed.
- D. Metric data is immediately collected
Answer: D
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 # 50
Which of the following is not a key interaction element in Log Explorer UI of Logging Analytics?
- A. Fields Panel
- B. Scope Filter
- C. Dashboard
- D. Time Picker
Answer: C
Explanation:
Explanation
Dashboard is not a key interaction element in Log Explorer UI of Logging Analytics. The Log Explorer UI consists of four key interaction elements: Time Picker, Fields Panel, Scope Filter, and Results Panel. These elements allow you to search, filter, analyze, and visualize your log data.
NEW QUESTION # 51
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)
- A. Plan changes
- B. Climbing
- C. Degraded
- D. Efficient
Answer: A,C
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 # 52
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