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Latest Oracle 1z0-1111-23 Practice Test Questions, Oracle Cloud Infrastructure 2023 Observability Professional Exam Dumps
NEW QUESTION # 34
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 # 35
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 # 36
Which two features are provided by Application Performance Monitoring? (Choose two.)
- A. Java Management
- B. Capacity Planning
- C. Distributed Tracing
- D. Real User Monitoring
Answer: C,D
Explanation:
Explanation
Application Performance Monitoring provides two features: Distributed Tracing and Real User Monitoring.
Distributed Tracing allows you to monitor and troubleshoot the performance of your microservices applications by tracing the requests across different services and components. Real User Monitoring allows you to measure and improve the user experience of your web applications by capturing and analyzing the real user sessions, page load times, errors, and feedback.
NEW QUESTION # 37
You have been asked to run queries against the OracleCloud Infrastructure (OCI) monitoring data. The data request is an aggregated query. You get the following error: query has exceeded the maximum number of metric streams Which step would you take to run the aggregated query correctly against OCI?
- A. Reduce the query and limit the number of streams by specifying dimensions.
- B. Check the OCI Identity and Access Management (IAM) policy and re-run the query.
- C. Ignore the error because aggregating multiple metric streams is not supported.
- D. Increase the query limits and the number of streams by specifying dimensions.
Answer: A
Explanation:
Explanation
To run the aggregated query correctly against OCI, you need to reduce the query and limit the number of streams by specifying dimensions. Dimensions are key-value pairs that define the characteristics of a metric.
By adding dimensions to your query, you can filter out the irrelevant metric streams and avoid exceeding the maximum number of metric streams. For more information, see Querying Metrics.
NEW QUESTION # 38
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 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.
- 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 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.
Answer: D
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 # 39
Which of the following feature of Logging Analytics is used for identifying and tagging the problem logs during ingestion time?
- A. Log Origin
- B. Entity Type
- C. Extended Fields
- D. Labels
Answer: D
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 # 40
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. Cloud Agent Plugin Grouping Function
- C. Service Connectors
- D. Agent Configuration
Answer: A,C
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 # 41
Which is an example of Log Sources in Logging Analytics?
- A. File, Database, Windows Events System, Syslogs
- B. Windows Events, Syslog Listener, and Database SQL parsers
- C. Long, Integer, String fields
- D. JSON, XML, CSV files
Answer: B
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 # 42
Which is one of the primary use case for the circleCloud Infrastructure (OCI) Observabilityand Management (O&M) Logging Analytics service?
- A. Monitor, aggregate, index, and analyze log data
- B. Create OCI resources automatically based on log events and reports
- C. Centralize and relocate any log based on a subscription model
Answer: A
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
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 # 44
What is the correct logging CLI syntax for the log search with a query for REST call responses having status code 400, within the web Log Group and the application Log?
- A. oci logging-search search-logs --search-query 'search
"ocidl.compartment.ocl..aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz" I where data.statusCode 400'--time-start 2022-02-06T00:00:00Z --time-end 2022-02- 07T00:00:002 - B. oci log search search-logs --loggroup "web" --log "application" --search-query 'search
"ocidl.compartment.ocl..aaaaaaaawqegmjifhni77bqm625cxioavoy5jckfn2syxqtmglabcccdxyz" where data.statusCode = 400'--time-start 2022-02-06T00:00:00Z --time-end 2022-02- 07T00:00:002 - C. oci logging-search search-logs --search-query 'search
"ocidl.compartment.ocl..aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz/web/appli I where data.statusCode = 400'--time-start 2022-02-06T00:00:002 --time-end 2022-02-07T00:00:002 - D. oci logging-search search-logs --search-query 'search
"ocidl.compartment.ocl..aaaaaaaawqegmjifhn177bqm625exioavoq775jckfn2syxqtmglabcccdxyz/web/appl
--time-start 2022-02-06T00:00:002-time-end 2022-02-07T00:00:002
Answer: C
Explanation:
Explanation
The correct logging CLI syntax for the log search with a query for REST call responses having status code
400, within the web Log Group and the application Log is oci logging-search search-logs --search-query
'search
"ocidl.compartment.ocl...aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz/web/applicatio I where data.statusCode = 400'-time-start 2022-02-06T00:00:002 --time-end 2022-02-07T00:00:002. This syntax will search for log records that match the following criteria:
* The log records belong to the compartment with OCID
ocidl.compartment.ocl...aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz
* The log records belong to the web Log Group and the application Log
* The log records have a field called data.statusCode with a value of 400
* The log records are within the time range from 2022-02-06T00:00:002 to 2022-02-07T00:00:002
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 parsed logs search
- C. Use histogram records
- 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 # 46
Which TWO items describe the capabilities of the Oracle Cloud Infrastructure (OCI) Database Management Service? (Choose two.)
- A. View database log entries
- B. Perform management tasks across a group of databases
- C. Analyze SQL response time across a group of databases
- D. Monitor database performance
Answer: B,D
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 # 47
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, service 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. Port, database name, connection type and management agent OCID, user credentials, and role
- D. DNS hostname, database name, connection type and management agent OCID, user credentials, and role
Answer: D
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 # 48
You are part of the Cloud Security operations of an organization with thousands of users accessing Oracle Cloud Infrastructure (OCI). It is reported that an unknown user action was executed resulting in configuration errors. You are tasked with identifying the details of all users who were active in the last six hours along with any REST API calls that were executed. Which OCI feature should you use?
- A. Audit Analysis Dashboard
- B. Management Agent Log Ingestion
- C. ObjectCollectionRule
- D. Service Connector Hub
Answer: A
Explanation:
Explanation
To quickly identify the details of all users who were active in the last six hours along with any REST API calls that were executed, you can use Audit Analysis Dashboard. Audit Analysis Dashboard is a feature of Audit service that provides a graphical representation of audit events and trends. You can use Audit Analysis Dashboard to view charts and tables that show various metrics and dimensions of audit events, such as user activity, resource activity, operation types, or error codes.
NEW QUESTION # 49
What are the TWO features that are available for an Autonomous Database that is enabled with Database Management? (Choose two.)
- A. Monitor and analyze optimizer statistics advisor tasks and implement recommendations
- B. View average active session by CPU, I/O and wait depending on the deployment type
- C. Generate AWR report for selected time period
- D. Number of queued and running SQL statements
Answer: A,C
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 # 50
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