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NEW QUESTION # 22
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. Logs, Metrics, and Traces
- D. Logging Analytics, Database Management, Stack Monitoring
Answer: C
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 # 23
How does a user start collecting a specific log for an Entity in Logging Analytics?
- A. Create an Association of required Log Source with that Entity
- B. Configure a path for the Log File
- C. Identify Fields to extract
- D. Enable a Parser for the Log
Answer: A
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 # 24
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. Logs, Metrics, and Traces
- D. Logging Analytics, Database Management, Stack Monitoring
Answer: C
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 # 25
What happens in Stack Monitoring after Management agents are set up and resources are discovered?
- A. Metric data is immediately collected
- B. Alarm rules will trigger when resources are down or performance thresholds are crossed.
- C. OCI Notifications send email notifications
- D. Management agents discover resources that are running locally on the instance
Answer: A
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 # 26
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. Check the OCI Identity and Access Management (IAM) policy and re-run the query.
- B. Increase the query limits and the number of streams by specifying dimensions.
- C. Ignore the error because aggregating multiple metric streams is not supported.
- D. Reduce the query and limit the number of streams by specifying dimensions.
Answer: D
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 # 27
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)
- A. Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations
- B. Provides data based on a statistical analysis of AI data
- C. Identifies future resource usage Oracle Cloud
- D. Allows Oracle Enterprise Manager's operations data for various use-cases
Answer: A,D
Explanation:
Explanation
Two benefits of Observability Lakehouse in Operations Insights are:
Allows Oracle Enterprise Manager's operations data for various use-cases. Observability Lakehouse is a data lake that stores and analyzes operational data from different sources, such as Oracle Enterprise Manager, Oracle Cloud Infrastructure, and Autonomous Database. You can use Observability Lakehouse to access and query your operations data for various use-cases, such as performance analysis, capacity planning, anomaly detection, and root cause analysis.
* Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations.
Observability Lakehouse provides a rich set of analytical functions and tools that let you perform custom analytics on your operations data. You can use Observability Lakehouse to create trends, forecasts, capacity plans, workload profiles, and other insights that can help you optimize your operations and performance.
NEW QUESTION # 28
What are two examples of a Stack Monitoring deployment model? (Choose two.)
- A. Resources running on OCI compute instances
- B. Resources running on-premises
- C. Resources running on Management gateway
- D. Resources running on a network appliance
Answer: A,B
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 # 29
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. Trigger Condition was not configured while defining the Alarm.
- B. OCI Monitoring service can send only one notification per Alarm Definition when the alarm condition is met.
- C. Repeat notification was not enabled while creating the Alarm.
- D. Resending notifications depends on the total metric streams returned from the query.
Answer: C
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 # 30
Which is one of the primary use case for the circleCloud Infrastructure (OCI) Observabilityand Management (O&M) Logging Analytics service?
- A. Create OCI resources automatically based on log events and reports
- B. Monitor, aggregate, index, and analyze log data
- C. Centralize and relocate any log based on a subscription model
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 # 31
Which answer best defines an Application Performance Monitoring (APM) Domain in Oracle Cloud Infrastructure (OCI)?
- A. A compartment containing the data collected by APM
- B. A collection of users, roles and identity data managing access to APM
- C. A set of resources supporting high-availability connectivity to APM
- D. A resource type containing the systems monitored by APM
Answer: D
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 # 32
In Application Performance Monitoring (APM), where isthe span context information located during transfer?
- A. in the service boundaries
- B. in HTTP call
- C. in HTTP header
- D. in the browser and the microservices
Answer: C
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 # 33
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. WebLogic, Tomcat, or JBoss
- D. NginX
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 # 34
You are part of the Cloud Operations team managing thousands of compute instances running in Oracle Cloud Infrastructure (OCI). The OCI Logging Service is configured to collect logs from these instances using a Unified Monitoring Agent. A requirement has been created to archive logging data into OCI Object Storage.
Which OCI capability can help you achieve this requirement?
- A. Service Connector
- B. ObjectCollectionRule
- C. Logging Query
- D. IAM policy
Answer: A
Explanation:
Explanation
To archive logging data into OCI Object Storage, you can use Service Connector Hub, which is a cloud message bus platform that offers a single pane of glass for describing, running, and monitoring interactions when moving data between OCI services. You can create a service connector that has Logging as the source service and Object Storage as the target service. This service connector will automatically move your logging data from Logging to Object Storage based on your configuration.
NEW QUESTION # 35
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. Noise baseline determination
- D. Creation of the Key Performance Indicators (KPIs) to monitor
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 # 36
Which Machine Learning based visualization is helpful in analyzing extremely large vol-umes of log records by grouping them based on their shape?
- A. Word Cloud
- B. Summary Table
- C. Cluster
Answer: C
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 # 37
What step must be performed to enable Operations Insights for an Autonomous Database?
- A. Enable Operations Insights for the Database
- B. Install a Management Agent on the Database
- C. Create an Object Storage Bucket for the Database
- D. Configure an OCI Bridge for the Database
Answer: A
Explanation:
Explanation
To enable Operations Insights for an Autonomous Database, you need to enable Operations Insights for the database in the Autonomous Database details page. This will allow you to monitor and analyze the performance, resource utilization, and SQL activity of your Autonomous Database.
NEW QUESTION # 38
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. Cloud Agent Plugin Grouping Function
- B. ObjectCollection Rule
- C. Agent Configuration
- D. Service Connectors
Answer: B,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 # 39
Which TWO functions does the Trace Explorer allowyou to do in Application Performance Monitoring (APM)? (Choose two.)
- A. Define custom metrics for traces
- B. Display status of monitored systems
- C. Select pre-defined queries for common use cases
- D. View the details of specific spans
Answer: C,D
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 # 40
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. Leverage OCI Cloud Guard to extract and visualizedebug logs generated by your application.
- D. Trace performance issues in OCI Application Performance Monitoring service by enabling Function traces.
- E. View service metric information from the OCI Monitoring service.
Answer: C
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 # 41
Why do dedicated Vantage points matter? Select two reasons that apply.? (Choose two.)
- A. Applications on-premise or on secured network cannot be tested from a public Vantage Point
- B. Test internal customer applications
- C. Applications on-premise or secured network can be tested from a public Vantage Point
- D. Test Deployment Manager and Scheduler
Answer: A,B
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 # 42
What are the two items required to create a rule for the Oracle Cloud Infrastructure (OCI) Events Service?
(Choose two.)
- A. Rule Conditions
- B. Install Key
- C. Service Connector
- D. Management Agent Cloud Service
- E. Actions
Answer: A,E
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 # 43
How does Application Performance Monitoring track all related spans for a single user request?
- A. Using User ID
- B. Using Trace ID
- C. Using Application Name
Answer: B
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 # 44
Which TWO resources can be monitored by Stack Monitoring? (Choose two.)
- A. WebLogic Servers
- B. Object Storage Buckets
- C. Oracle External Databases
- 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 # 45
Which of the following statement is NOTIvalid regarding Management Agent Cloud Service?
- A. Management Agent Cloud service enables on demand execution of operations against monitored resources.
- B. Management Agent Cloud Service transport customer data to Logging Analytics, OCI Monitoring, or even a custom endpoint hosted in OCI.
- C. 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.
- D. Management Agent Cloud Service is self monitored.
Answer: C
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 # 46
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. Allow group cloudops to read compute-metrics in tenancy
- C. Restricting monitoring access only to compute instancesmetrics is not possible.
- 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 # 47
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