How does a user start collecting a specific log for an Entity in Logging Analytics?
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.
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)
Two SQL Warehouse categories to analyze SQL Performance in Operations Insights are:
Plan changes. Plan changes are SQL statements that have experienced a change in their execution plan over time. Plan changes can affect the performance and resource consumption of SQL statements.
Degraded. Degraded are SQL statements that have experienced a decrease in their performance over time. Degraded SQL statements can cause performance issues and resource contention in your databases.
Which is one of the primary use case for the circle Cloud Infrastructure (OCI) Observability and Management (O&M) Logging Analytics service?
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.
Which TWO future resource usages are identified by Exadata Warehouse insights custom analytics under Operations Insights? (Choose two.)
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.
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)
Two SQL Warehouse categories to analyze SQL Performance in Operations Insights are:
Plan changes. Plan changes are SQL statements that have experienced a change in their execution plan over time. Plan changes can affect the performance and resource consumption of SQL statements.
Degraded. Degraded are SQL statements that have experienced a decrease in their performance over time. Degraded SQL statements can cause performance issues and resource contention in your databases.
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