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NEW QUESTION # 14
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)
- A. Allows Oracle Enterprise Manager's operations data for various use-cases
- B. Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations
- C. Provides data based on a statistical analysis of AI data
- D. Identifies future resource usage Oracle Cloud
Answer: A,B
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 # 15
Which statement is valid for auto-upgrade of Management Agent?
- A. Auto-upgrade is an opt-in/opt-out feature at the tenancy level
- B. Users cannot disable "auto-upgrade"
- C. Auto-upgrade option is not available for Management Agent
- D. Auto-upgrade is always enabled by default (no action is needed)
Answer: B
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
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. Increase the query limits and the number of streams by specifying dimensions.
- B. Ignore the error because aggregating multiple metric streams is not supported.
- C. Check the OCI Identity and Access Management (IAM) policy and re-run the query.
- 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 # 17
Which TWO actions can be performed using the Database Management Service in Oracle Cloud Infrastructure (OCI)? (Choose two.)
- A. Compare Database performance across different time periods or perform real-time monitoring of SQL statements
- B. Forecast Capacity issue of Oracle Databases in On-Premises, OCI and Multi-Cloud environment
- C. Analyze and Tune SQL performance issues of Oracle Databases on-premises, OCI and Multi- Cloud environment
- D. Forecast Capacity issues of your Database services in OCI
Answer: A,C
Explanation:
Explanation
Two actions that can be performed using the Database Management Service in OCI are:
* Compare Database performance across different time periods or perform real-time monitoring of SQL statements. Database Management Service provides various tools and dashboards that let you compare and 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.
* Analyze and Tune SQL performance issues of Oracle Databases on-premises, OCI and Multi-Cloud environment. Database Management Service provides various features and functions that let you analyze and tune SQL performance issues of your databases across different environments. You can use SQL Tuning Advisor to get recommendations for improving SQL performance. You can also use SQL Performance Analyzer to compare the performance of SQL statements before and after a change.
NEW QUESTION # 18
What are the two capabilities available in Operations Insights? (Choose two.)
- A. Database Fleet Monitoring
- B. Exadata Insights
- C. Capacity Planning
- D. Entity Topology Viewing
Answer: B,C
Explanation:
* Exadata Insights. Exadata Insights is a feature of Operations Insights that provides comprehensive monitoring and analysis of your Exadata systems, both on-premises and in the cloud. You can use Exadata Insights to view performance, utilization, availability, and configuration metrics of your Exadata systems and components. You can also use Exadata Insights to troubleshoot issues, optimize performance, and plan capacity for your Exadata systems.
* Capacity Planning. Capacity Planning is a feature of Operations Insights that helps you forecast the future resource consumption and capacity needs of your databases. You can use Capacity Planning to create scenarios based on historical trends, growth rates, and what-if analysis. You can also use Capacity Planning to compare different scenarios and identify potential risks and opportunities for your database capacity.
NEW QUESTION # 19
What determines the parsing options for a given source of log data in Logging Analytics?
- A. Entity Group
- B. Entity
- C. Source-Entity Association
- D. Entity Type
Answer: D
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 # 20
Which Machine Learning based visualization is helpful in analyzing extremely large vol-umes of log records by grouping them based on their shape?
- A. Summary Table
- B. Word Cloud
- 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 # 21
Which TWO Observability and Management (O&M) services are supported by Management Agent? (Choose two.)
- A. Logging Analytics
- B. Database Management
- C. Enterprise Manager
- D. Application Performance Management
Answer: A,C
Explanation:
Explanation
Enterprise Manager is a service that provides comprehensive monitoring and administration capabilities for Oracle Database and Engineered Systems1. Management Agent enables Enterprise Manager to discover, monitor, and manage targets on Oracle Cloud Infrastructure, on-premises, or on other public clouds2.
Logging Analytics is a service that enables devops teams to monitor and troubleshoot issues faster by analyzing data from any source using interactive, intuitive dashboards1. Management Agent collects log data from various sources and sends it to Logging Analytics for parsing and indexing2.
NEW QUESTION # 22
What step must be performed to enable Operations Insights for an Autonomous Database?
- A. Configure an OCI Bridge for the Database
- B. Enable Operations Insights for the Database
- C. Install a Management Agent on the Database
- D. Create an Object Storage Bucket for the Database
Answer: B
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 # 23
Which pillars of Observability are available as a single view from the Dashboard?
- A. Logs, Metrics, and Traces
- B. Compute, Storage, and Network
- C. Log data, Query language, Dashboard widgets
- D. Logging Analytics, Database Management, Stack Monitoring
Answer: A
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 # 24
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 # 25
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. Enable a Parser for the Log
- D. Identify Fields to extract
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 # 26
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 # 27
Which pillars of Observability are available as a single view from the Dashboard?
- A. Logs, Metrics, and Traces
- B. Compute, Storage, and Network
- C. Log data, Query language, Dashboard widgets
- D. Logging Analytics, Database Management, Stack Monitoring
Answer: A
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 # 28
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 a statistic.
- C. You must specify a metric.
- D. You must specify an interval.
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 # 29
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 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 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 - 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 # 30
Which Management Agent group allows the agent to upload data to the discovery service?
- A. AgentUsersGrp
- B. StackMonitoringAdminGrp
- C. Mgmt_agent_dynamic_group
- D. StackMonitoringViewerGrp
Answer: A
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 # 31
Which TWO components are optional while crihating the Monitoring Query Language (MQL) expressions in the Oracle Cloud Infrastructure (OCI) Monitoring service? (Choose two.)
- A. Interval
- B. Dimensions
- C. Metric
- D. Previous
- E. Grouping Function
- F. Statistic
Answer: E,F
Explanation:
Explanation
Two components that are optional while creating MQL expressions in OCI Monitoring service are Grouping Function and Statistic. MQL expressions are queries that specify how to retrieve and process metric data from OCI Monitoring service. MQL expressions consist of various components, such as metric name, dimensions, filters, functions, operators, or constants. Some components are mandatory while others are optional depending on your use case. Grouping Function is an optional component that specifies how to aggregate metric data across different metric streams based on certain attributes or tags. Statistic is an optional component that specifies how to summarize metric data within each time window based on certain calculations or methods.
NEW QUESTION # 32
How does Application Performance Monitoring track all related spans for a single user request?
- A. Using Trace ID
- B. Using Application Name
- C. Using User ID
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 # 33
Which is NOT a valid statement regarding the Oracle Cloud Infrastructure (OCI) Audit logs?
- A. Audit logs can be displayed at the Compartment level.
- B. Audit Logs are disabled by default and must be manually enabled for each compartment in your tenancy.
- C. One of the key reasons to view Audit Logs is to collect security related events.
Answer: B
Explanation:
Explanation
A valid statement regarding the OCI Audit logs is that Audit Logs are enabled by default and do not need to be manually enabled for each compartment in your tenancy. Audit Logs are records of the API operations performed on your OCI resources. Audit Logs provide security, compliance, and governance information about your OCI resources. You can view Audit Logs at the compartment level or at the tenancy level.
NEW QUESTION # 34
In Application Performance Monitoring (APM), where isthe span context information located during transfer?
- A. in the service boundaries
- B. in the browser and the microservices
- C. in HTTP call
- D. in HTTP header
Answer: D
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 # 35
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?
- A. Object Store
- B. Object Storage
- C. Object Store Bucket
- D. Object Collection Rule
Answer: D
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 # 36
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