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Oracle 1Z0-1111-23 Exam
- Oracle Cloud Certifications
- Oracle Cloud Infrastructure Certifications
- Topic 1: Describe Event Structure, Event Types, and Rules/ Configure metrics and alarm definitions using best practices
- Topic 2: Discover resources and monitor using metrics/ Creating visualization with key data points using Dashboards
- Topic 3: Explain the key concepts of Logging Analytics/ Define Observability and introduce OCI Observability and Management Services
- Topic 4: Instrument applications for data collection/ Monitoring environments using Monitoring Service
- Topic 5: Enable log collection from sources for Log Categories/ Respond to events and integrate with OCI services
- Topic 6: Enable log ingestion methods for Logging Analytics/ Enabling data collection across environments using Management Agent
- Topic 7: Configure Service Connector Hub for Log Transitions/ Enable monitoring in Oracle Cloud environments
- Topic 8: Visualizing log data using Logging Service/ Responding to cloud resource changes in real-time using Events Service
- Topic 9: Explain the architecture of the Management Agent cloud service/ Identifying patterns and root causes from log data using Logging Analytics
- Topic 10: Key Concepts of Monitoring Service/ Explain the key concepts of Events Service/ Manage and search logs from log estates
Free Oracle 1Z0-1111-23 Exam Actual Questions
Note: Premium Questions for 1Z0-1111-23 were last updated On May. 10, 2024 (see below)
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.
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)
Two APM agents that Application Performance Monitoring can use to collect data are Browser Agent and Java Agent. Browser Agent is a JavaScript snippet that can be embedded in web pages to collect Real User Monitoring (RUM) data, such as page load time, network latency, or user interactions. Java Agent is a Java library that can be attached to Java applications to collect Application Performance Monitoring (APM) data, such as traces, spans, metrics, or errors.
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.
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)
Two APM agents that Application Performance Monitoring can use to collect data are Browser Agent and Java Agent. Browser Agent is a JavaScript snippet that can be embedded in web pages to collect Real User Monitoring (RUM) data, such as page load time, network latency, or user interactions. Java Agent is a Java library that can be attached to Java applications to collect Application Performance Monitoring (APM) data, such as traces, spans, metrics, or errors.
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