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NEW QUESTION # 24
What determines the parsing options for a given source of log data in Logging Analytics?
- A. Entity
- B. Entity Group
- C. Entity Type
- D. Source-Entity Association
Answer: C
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 # 25
Which statement is NOT valid about creating an alarm query in Oracle Cloud Infrastructure (OCI) Monitoring?
- A. You must specify a resource group.
- B. You must specify an interval.
- C. You must specify a metric.
- D. You must specify a statistic.
Answer: A
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 # 26
From the following, select the different metric namespaces used for APM.?
- A. oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring.
- B. AjaxDownloadTime, TotalTraceCount, Oracle_pm_rum
- C. RUM metrics, oracle_apm_monitoring, Oracle_apm_synthetic
- D. oracle_apm_monitoring namespace, synthetics, and monitoring
Answer: A
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 # 27
Which two features are provided by Application Performance Monitoring? (Choose two.)
- A. Capacity Planning
- B. Real User Monitoring
- C. Java Management
- D. Distributed Tracing
Answer: B,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 # 28
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 # 29
What are the two items required to create a rule for the Oracle Cloud Infrastructure (OCI) Events Service?
(Choose two.)
- A. Service Connector
- B. Actions
- C. Management Agent Cloud Service
- D. Rule Conditions
- E. Install Key
Answer: B,D
Explanation:
Explanation
Two items required to create a rule for the OCI Events Service are:
* Actions. Actions are the tasks that you want to perform when an event matches your rule condition. For example, you can create an action that sends a notification, invokes a function, or streams an event.
* Rule Conditions. Rule Conditions are the criteria that you use to filter events based on their attributes or patterns. For example, you can create a rule condition that matches events related to instance creation or deletion.
NEW QUESTION # 30
Which pillars of Observability are available as a single view from the Dashboard?
- A. Compute, Storage, and Network
- B. Logs, Metrics, and Traces
- C. Log data, Query language, Dashboard widgets
- D. Logging Analytics, Database Management, Stack Monitoring
Answer: B
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 # 31
What are two examples of a Stack Monitoring deployment model? (Choose two.)
- A. Resources running on OCI compute instances
- B. Resources running on a network appliance
- C. Resources running on-premises
- D. Resources running on Management gateway
Answer: A,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 # 32
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. ObjectCollectionRule
- B. Management Agent Log Ingestion
- C. Audit Analysis Dashboard
- D. Service Connector Hub
Answer: C
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 # 33
Which Logging Analytics concept represents an asset on your host that could provide log data?
- A. Entity
- B. Source
- C. Parser
- D. Association
Answer: B
Explanation:
Explanation
A source represents an asset on your host that could provide log data, such as a log file, a database audit log, or a Windows event log. A source defines the location, format, and frequency of the log data. You can associate a source with an entity type to enable Logging Analytics to parse and analyze the log data. For more information, see Sources.
NEW QUESTION # 34
Which answer best defines an Application Performance Monitoring (APM) Domain in Oracle Cloud Infrastructure (OCI)?
- A. A collection of users, roles and identity data managing access to APM
- B. A compartment containing the data collected by APM
- C. A resource type containing the systems monitored by APM
- D. A set of resources supporting high-availability connectivity to APM
Answer: C
Explanation:
Explanation
An Application Performance Monitoring (APM) Domain in OCI is a resource type containing the systems monitored by APM. An APM Domain defines the scope and boundaries of the systems that you want to monitor with APM, such as microservices applications, web servers, databases, or functions. You can create multiple APM Domains for different purposes or environments, such as development, testing, or production.
NEW QUESTION # 35
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)
- A. Which Management Agents to use
- B. Where to find Logs
- C. Where to store Log data
- D. Which Parsers to use
Answer: B,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 # 36
What are the TWO features that are available for an Autonomous Database that is enabled with Database Management? (Choose two.)
- A. Generate AWR report for selected time period
- B. Monitor and analyze optimizer statistics advisor tasks and implement recommendations
- C. View average active session by CPU, I/O and wait depending on the deployment type
- D. Number of queued and running SQL statements
Answer: A,B
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 # 37
Which Management Agent group allows the agent to upload data to the discovery service?
- A. StackMonitoringAdminGrp
- B. AgentUsersGrp
- C. StackMonitoringViewerGrp
- D. Mgmt_agent_dynamic_group
Answer: B
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 # 38
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 automatically resolves the alarm which is Firing state
- 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 # 39
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 # 40
Which TWO future resource usages are identified by Exadata Warehouse insights custom analytics under Operations Insights? (Choose two.)
- A. CPU
- B. Memory
- C. AIOps
- D. Network usage
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 # 41
Which response contains rich information to process for analytics?
- A. Logging Analytic Entities
- B. Log Sources
- C. Database Audit Logs
- D. Entity types
Answer: C
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 # 42
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