Pass Your Oracle Exam with 1z0-1111-23 Exam Dumps (Updated 69 Questions)
1z0-1111-23 Exam Dumps - Oracle Practice Test Questions
NEW QUESTION # 11
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. OCI Monitoring service can send only one notification per Alarm Definition when the alarm condition is met.
- B. Resending notifications depends on the total metric streams returned from the query.
- C. Trigger Condition was not configured while defining the Alarm.
- D. Repeat notification was not enabled while creating the Alarm.
Answer: D
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 # 12
From the following, select the different metric namespaces used for APM.?
- A. oracle_apm_monitoring namespace, synthetics, and monitoring
- B. AjaxDownloadTime, TotalTraceCount, Oracle_pm_rum
- C. oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring.
- D. RUM metrics, oracle_apm_monitoring, Oracle_apm_synthetic
Answer: C
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 # 13
Which response contains rich information to process for analytics?
- A. Database Audit Logs
- B. Log Sources
- C. Entity types
- D. Logging Analytic Entities
Answer: A
Explanation:
Explanation
Database Audit Logs contain rich information to process for analytics, such as user actions, database operations, and security events. Logging Analytics can ingest and analyze these logs to provide insights into the health and performance of your databases.
NEW QUESTION # 14
What is the purpose of using Resolution in a Monitoring Query Language expression?
- A. Resolution defines the start time of each time window
- B. Resolution is used with suppression to pause alarm during system maintenance
- C. Resolution controls the total length of each time window
- D. Resolution automatically resolves the alarm which is Firing state
Answer: C
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 # 15
Which statement is valid for auto-upgrade of Management Agent?
- A. Users cannot disable "auto-upgrade"
- B. Auto-upgrade is an opt-in/opt-out feature at the tenancy level
- C. Auto-upgrade option is not available for Management Agent
- D. Auto-upgrade is always enabled by default (no action is needed)
Answer: A
Explanation:
Explanation
A valid statement for auto-upgrade of Management Agent is that users cannot disable "auto-upgrade".
Auto-upgrade is a feature that automatically updates the Management Agent software to the latest version when it is available. Auto-upgrade is always enabled by default and cannot be disabled by users. Auto-upgrade ensures that the Management Agent software is always up to date and secure.
NEW QUESTION # 16
Which Management Agent group allows the agent to upload data to the discovery service?
- A. Mgmt_agent_dynamic_group
- B. StackMonitoringAdminGrp
- C. AgentUsersGrp
- D. StackMonitoringViewerGrp
Answer: C
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 # 17
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 transport customer data to Logging Analytics, OCI Monitoring, or even a custom endpoint hosted in OCI.
- D. Management Agent Cloud service enables on demand execution of operations against monitored resources.
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 # 18
Which is a valid Log Category name in Oracle Cloud Infrastructure (OCI) Logging Service?
- A. VCN Logs
- B. System Logs
- C. Custom Logs
- D. OCI Agent 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 # 19
Which of the following capabilities does the performance management feature of Database Management Services offer to a managed database?
- A. Visualizes and performs trend analysis from AWR data to detect issues using AWR explorer
- B. Automatically invokes full stats gathering of objects to improve performance of regressed SQLS
- C. Dynamically modifies database initialization parameters to improve performance
Answer: A
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 # 20
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?
- A. Object Collection Rule
- B. Object Store Bucket
- C. Object Storage
- D. Object Store
Answer: A
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 # 21
What determines the parsing options for a given source of log data in Logging Analytics?
- A. Entity Group
- B. Entity Type
- C. Entity
- D. Source-Entity Association
Answer: B
Explanation:
Explanation
The parsing options for a given source of log data in Logging Analytics are determined by the entity type. An entity type is a predefined template that defines the attributes, log sources, and parsers for a specific type of log data, such as Apache Web Server, Oracle Database, or Linux Host. By associating an entity type with a log source, you can enable Logging Analytics to parse and extract fields from the log data. For more information, see Entity Types.
NEW QUESTION # 22
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 metrics in tenancy where tar-get.metrics.monitoring='oci_computeagent'
- B. Restricting monitoring access only to compute instancesmetrics is not possible.
- C. Allow group cloudops to read compute-metrics in tenancy
- D. Allow group cloudOps to read metrics in tenancy where target.metrics.namespace-'oci_computeagent'
Answer: A
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 # 23
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)
- A. Which Parsers to use
- B. Where to store Log data
- C. Which Management Agents to use
- D. Where to find Logs
Answer: A,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 # 24
Which TWO resources can be monitored by Stack Monitoring? (Choose two.)
- A. WebLogic Servers
- B. Virtual Cloud Networks
- C. Oracle External Databases
- D. Object Storage Buckets
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 # 25
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. Events Service
- B. Cloud Agent Plugin for the compute instance
- C. Service Connector Hub
- D. Oracle Functions
- E. OCI CLI command, ocios bucket create auto
Answer: C,D
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 # 26
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. Create OCI resources automatically based on log events and reports
- 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 # 27
Which of the following is required to enable Stack Monitoring?
- A. User group for VNC collection
- B. Machine Learning group for resource associations
- C. Dynamic group for discovery service
Answer: C
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 # 28
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 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 - B. 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 - C. 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 - D. 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
Answer: D
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 # 29
How does a user start collecting a specific log for an Entity in Logging Analytics?
- A. Enable a Parser for the Log
- B. Create an Association of required Log Source with that Entity
- C. Identify Fields to extract
- D. Configure a path for the Log File
Answer: B
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 # 30
Which step is essential while building a reliable log monitoring environment?
- A. Creation of the Key Performance Indicators (KPIs) to monitor
- B. Define permissions for the user roles in the region
- C. Noise baseline determination
- D. Determination of the Machine Learning models you need to program
Answer: C
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 # 31
Which are the different data sources from where the Application Performance Monitoring (APM) Java agent can collect spans and metrics data?
- A. Jaeger or Zipkin
- B. VMware ESXi
- C. NginX
- D. WebLogic, Tomcat, or JBoss
Answer: A
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 # 32
Which TWO future resource usages are identified by Exadata Warehouse insights custom analytics under Operations Insights? (Choose two.)
- A. Network usage
- B. AIOps
- C. CPU
- D. Memory
Answer: C,D
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 # 33
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 # 34
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. DNS hostname, database name, connection type and management agent OCID, user credentials, and role
- B. Port, 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: A
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 # 35
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. Unified Envelope
- C. Data section
- D. Source Section
Answer: B
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 # 36
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