[Oct 13, 2023] Dumps Collection 1z0-1111-23 Test Engine Dumps Training With 69 Questions
Oracle 1z0-1111-23 Dumps - 100% Cover Real Exam Questions
Oracle 1z0-1111-23 Exam Syllabus Topics:
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NEW QUESTION # 28
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 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.
- 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 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.
- 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 # 29
Which of the following feature of Logging Analytics is used for identifying and tagging the problem logs during ingestion time?
- A. Labels
- B. Extended Fields
- C. Log Origin
- D. Entity Type
Answer: A
Explanation:
Explanation
Labels are a feature of Logging Analytics that allow you to identify and tag the problem logs during ingestion time. Labels are predefined tags that can be applied to log records based on certain conditions or patterns. For example, you can create a label called "Error" that is applied to any log record that contains the word "error" or "exception". Labels can help you filter, search, and analyze your log data more efficiently.
NEW QUESTION # 30
How does a user start collecting a specific log for an Entity in Logging Analytics?
- A. Identify Fields to extract
- B. Enable a Parser for the Log
- C. Configure a path for the Log File
- D. Create an Association of required Log Source with that Entity
Answer: D
Explanation:
Explanation
To start collecting a specific log for an Entity in Logging Analytics, you need to create an association of required Log Source with that Entity. An Entity is a logical representation of a resource that can generate log data, such as a host, a database, or an application. A Log Source is a definition of the location, format, and frequency of the log data. An association is a link between an Entity and a Log Source that enables Logging Analytics to collect and parse log data from that Entity.
NEW QUESTION # 31
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.)
- A. ObjectCollection Rule
- B. Agent Configuration
- C. Cloud Agent Plugin Grouping Function
- D. Service Connectors
Answer: A,D
Explanation:
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].
NEW QUESTION # 32
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 a Service Connector to automatically send logs into the OCI Logging Analytics service.
- B. Configure the application to send logs into OCI Logging service.
- C. Trace performance issues in OCI Application Performance Monitoring service by enabling Function traces.
- D. Leverage OCI Cloud Guard to extract and visualizedebug logs generated by your application.
- E. View service metric information from the OCI Monitoring 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 # 33
Why do dedicated Vantage points matter? Select two reasons that apply.? (Choose two.)
- A. Applications on-premise or secured network can be tested from a public Vantage Point
- B. Applications on-premise or on secured network cannot be tested from a public Vantage Point
- C. Test Deployment Manager and Scheduler
- D. Test internal customer applications
Answer: B,D
Explanation:
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.
NEW QUESTION # 34
Which are the TWO components that the Management Agent solution includes in the Cloud service? (Choose two.)
- A. Cloud assets
- B. Management Agent
- C. OCI Logging Analytics
- D. Management Gateway
Answer: B,D
Explanation:
Explanation
Two components that the Management Agent solution includes in the Cloud service are:
* 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 Stack Monitoring. Management Agent can collect data from various sources, such as databases, hosts, or applications.
* Management Gateway. Management Gateway is a component that enables secure communication between Management Agents and OCI services. Management Gateway acts as a proxy that encrypts and forwards data from Management Agents to OCI services.
NEW QUESTION # 35
Which TWO are examples of data telemetry sources of Operations Insights? (Choose two.)
- A. OCI Functions
- B. Management Agent
- C. Enterprise Manager
- D. DOCI streams
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 # 36
In Application Performance Monitoring (APM), where isthe span context information located during transfer?
- A. in HTTP call
- B. in HTTP header
- C. in the service boundaries
- D. in the browser and the microservices
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 # 37
Which step is essential while building a reliable log monitoring environment?
- A. Define permissions for the user roles in the region
- B. Determination of the Machine Learning models you need to program
- C. Creation of the Key Performance Indicators (KPIs) to monitor
- D. Noise baseline determination
Answer: D
Explanation:
Explanation
An essential step while building a reliable log monitoring environment is noise baseline determination. Noise baseline is the level of noise or irrelevant log data that is present in your environment. By determining the noise baseline, you can filter out the noise and focus on the signal or meaningful log data that can help you monitor and troubleshoot your environment. For more information, see Reducing Noise.
NEW QUESTION # 38
When would you use a vantage point in Application Performance Monitoring (APM)?
- A. Java Management
- B. Application Insights
- C. Distributed Tracing
- 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 # 39
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, database name, connection type and management agent OCID, user credentials, and role
- C. DNS hostname, port, service name, network protocol, 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: B
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 # 40
What is the purpose of using Resolution in a Monitoring Query Language expression?
- A. Resolution is used with suppression to pause alarm during system maintenance
- B. Resolution controls the total length of each time window
- C. Resolution defines the start time of each time window
- D. Resolution automatically resolves the alarm which is Firing state
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 # 41
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 # 42
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. Cloud Agent Plugin for the compute instance
- B. Oracle Functions
- C. Events Service
- D. OCI CLI command, ocios bucket create auto
- E. Service Connector Hub
Answer: B,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 # 43
Which TWO future resource usages are identified by Exadata Warehouse insights custom analytics under Operations Insights? (Choose two.)
- A. CPU
- B. Memory
- C. Network usage
- D. AIOps
Answer: A,B
Explanation:
Explanation
Two future resource usages that are identified by Exadata Warehouse insights custom analytics under Operations Insights are Memory and CPU. Exadata Warehouse insights custom analytics is a feature of Operations Insights that provides advanced analytics and visualization of Exadata performance data. You can use Exadata Warehouse insights custom analytics to create scenarios based on historical trends, growth rates, and what-if analysis. You can also use Exadata Warehouse insights custom analytics to forecast future resource usages, such as Memory or CPU, and plan capacity for your Exadata systems.
NEW QUESTION # 44
Which is one of the primary use case for the circleCloud Infrastructure (OCI) Observabilityand Management (O&M) Logging Analytics service?
- A. Centralize and relocate any log based on a subscription model
- B. Monitor, aggregate, index, and analyze log data
- C. Create OCI resources automatically based on log events and reports
Answer: B
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 # 45
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 # 46
Which are the different data sources from where the Application Performance Monitoring (APM) Java agent can collect spans and metrics data?
- A. NginX
- B. WebLogic, Tomcat, or JBoss
- C. VMware ESXi
- D. Jaeger or Zipkin
Answer: D
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 # 47
Which Machine Learning based visualization is helpful in analyzing extremely large vol-umes of log records by grouping them based on their shape?
- A. Cluster
- B. Word Cloud
- C. Summary Table
Answer: A
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 # 48
What is enabled by the SQL Warehouse application within Operations Insights?
- A. Consolidated Databases
- B. Reduced Operations costs
- C. Trend and Forecast resource requirements.
- D. Insights into the SQL performance
Answer: D
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 # 49
Which is an example of Log Sources in Logging Analytics?
- A. Windows Events, Syslog Listener, and Database SQL parsers
- B. Long, Integer, String fields
- C. JSON, XML, CSV files
- D. File, Database, Windows Events System, Syslogs
Answer: A
Explanation:
Explanation
Log Sources in Logging Analytics are predefined parsers that can extract fields from various types of log data, such as Windows Events, Syslog Listener, and Database SQL parsers. Log Sources also provide predefined labels, extended fields, and log origin information for each log type.
NEW QUESTION # 50
In Application Performance Monitoring (APM), a distributed tracing user initiates a re-quest through a browser. What is the first span called?
- A. Trace id
- B. Ajax call
- C. Root span
Answer: C
Explanation:
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.
NEW QUESTION # 51
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)
- A. Where to find Logs
- B. Where to store Log data
- C. Which Parsers to use
- D. Which Management Agents to use
Answer: A,C
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 # 52
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. Process files when they are uploaded in an Object Storage bucket
- C. Migrate Events generated by OCI resources from a Source to Target services
- D. Perform cleanup tasks when an OCI resource is terminated
Answer: B,D
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 # 53
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