1z0-1111-23 Oracle Cloud Infrastructure 2023 Observability Professional Questions and Answers

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.

 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.

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.

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.

 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.

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.

Two examples of data telemetry sources of Operations Insights are:

• Enterprise Manager. Enterprise Manager is an on-premises tool that provides comprehensive management and monitoring of Oracle databases and applications. Enterprise Manager can send operational data, such as performance metrics, configuration data, and SQL data, to Operations Insights for analysis and optimization.
• Management Agent. Management Agent is a lightweight process that collects and sends operational data from your resources to OCI services, such as Monitoring, Logging, or Operations Insights. Management Agent can collect data from various sources, such as databases, hosts, or applications.

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.

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.

To identify the details of all users who were active in the last six hours along with any REST API calls that were executed, you can use OCI Audit service. Audit service is a service that records all the API operations performed on your OCI resources. Audit service provides security, compliance, and governance information about your OCI resources. You can use Audit service to view and search audit events based on various criteria, such as user name, resource type, or time range.

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.

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.

The required step to enable Stack Monitoring is to create a dynamic group for discovery service. A dynamic group is a group of OCI resources that match certain rules or criteria. You need to create a dynamic group for discovery service to allow Stack Monitoring to discover and monitor the resources in your stack. You also need to attach a policy to the dynamic group that grants the required permissions for Stack Monitoring.

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/application” 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

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.

Two items that describe the capabilities of the OCI Database Management Service are:

• Perform management tasks across a group of databases. Database Management Service provides a feature called Database Fleet Management that allows you to perform management tasks across a group of databases in yourtenancy. You can use Database Fleet Management to view and compare the configuration, performance, and security of your databases. You can also use Database Fleet Management to execute SQL commands or scripts on multiple databases at once.
• Monitor database performance. Database Management Service also provides various tools and dashboards that let you 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.

Two things that are stored in a Log Source of Logging Analytics are:

• Which parsers to use. A parser is a component that extracts fields and values from log data. A log source can have one or more parsers associated with it to enable Logging Analytics to parse and analyze the log data.
• Where to find logs. A log source defines the location, format, and frequency of the log data. A log source can specify a file path, a database connection string, or a Windows event log name to indicate where to find logs.