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The default length of time events can be viewed with full detail before being purged is 7 days, unless archived. Events are records of significant occurrences in the monitored environment, such as errors, exceptions, policy violations, health rule violations, and more. You can view the events in the Controller UI under Events > All Events.You can also archive the events to retain them for longer periods or export them to external systems1Reference:1:Events

The option that would solve this the fastest for the customer is to include baseline data within widgets on the dashboard. Baseline data is the data that represents the normal or expected behavior of a metric, based on the historical data collected by the AppDynamics Cognition Engine. By including baseline data within widgets on the dashboard, the customer can easily compare the current value of the metric with the past average value for the same time. For example, if the customer wants to see the number of current database connections on their application in a Timeseries graph, and compare it to the past averages for the same time, they can create a Timeseries graph widget that shows the metric ''Database Connections'' and enable the option ''Show Baseline Data'' in the widget settings.This will display the current and the baseline values of the metric in the same graph, and allow the customer to see the trends and deviations over time1.

An exception in AppDynamics is a code-level event that indicates a problem or abnormality in the execution of a business transaction. AppDynamics captures and presents information on exceptions in the monitored environment, and allows you to configure the rules and criteria for detecting and reporting exceptions.

According to theErrors and Exceptions - AppDynamics, the following two types of events would be marked as an exception in AppDynamics:

A custom-configured error method and error message: This is a type of event that you can define as an exception based on a specific method and message that indicate an error condition in your application code. You can configure the error detection rules to mark a business transaction as an error and capture the exception information when such a method and message are encountered. For example, you can configure a rule to mark a business transaction as an error and capture the exception when the methodcom.example.MyClass.myMethodreturns the messageInvalid input.

Any message that is logged with a severity of Error or Fatal: This is a type of event that AppDynamics automatically detects as an exception based on the log messages that are generated by your application code. AppDynamics scans the log messages for the keywordsErrororFatal, and marks the business transaction as an error and captures the exception information when such a message is found. For example, AppDynamics will mark a business transaction as an error and capture the exception when the log message containsError: Null pointer exception.

Therefore,B(a custom-configured error method and error message) andC(any message that is logged with a severity of Error or Fatal) are two types of events that would be marked as an exception in AppDynamics.Reference:

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Errors and Exceptions - AppDynamics

Error Detection - AppDynamics

According to the Install the Standalone Machine Agent document1, the machine agent is a standalone Java program that collects performance statistics about your environment. It can be deployed on any machine that hosts application servers, database servers, messaging servers, Web servers, etc. However, the machine agent does not start collecting metrics as soon as it is installed. You need to start the machine agent manually or configure it to run as a service or a daemon. Therefore, the correct answer is D. The machine agent does not require an app agent to collect metrics, nor does it run with the monitored application. These are false statements.Reference:

Install the Standalone Machine Agent

By default, the Java Agent enables two Sensitive Data Filters substring: substring ''key'' and substring ''password''. These filters prevent the agent from capturing and sending any data that contains these substrings to the Controller, such as query parameters, HTTP headers, cookies, environment variables, or system properties. This helps to protect sensitive information from being exposed in the Controller UI or reports.You can also add more filters or modify the existing ones by editing the agent configuration file1Reference:1:Filter Sensitive Data