Most Recent Oracle 1Z0-1111-23 Exam Dumps

You would use a vantage point in Synthetic Monitoring. Synthetic Monitoring is a feature of APM that allows you to create synthetic tests to monitor the availability and performance of your web applications or APIs from different locations around the world. A vantage point is a location from where you can run synthetic tests against your target applications or APIs. A vantage point can be public or dedicated depending on your needs.

Log Sources in Logging Analytics are predefined parsers that can extract fields from various types of log data, such as Windows Events, Syslog Listener, and Database SQL parsers. Log Sources also provide predefined labels, extended fields, and log origin information for each log type.

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.

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.

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 logs from 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.