Free Practice Questions for Cisco 500-425 Exam

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 the Errors 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 method com.example.MyClass.myMethod returns the message Invalid 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 keywords Error or Fatal, 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 contains Error: Null pointer exception.

Therefore, B (a custom-configured error method and error message) and C (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. References:

Cisco AppDynamics Associate Administrator Certification

Errors and Exceptions - AppDynamics

Error Detection - AppDynamics

Percentile metrics are a way to measure the distribution of response times for a Business Transaction. They show the value below which a certain percentage of measurements fall. For example, the 50th percentile metric shows the median response time, and the 99th percentile metric shows the worst-case response time for 99% of the transactions. To enable percentile metrics, you need to go to Configuration > Slow Transaction Thresholds and indicate 5 whole numbers between 1 and 99 as Percentiles to Collect. You can then view the percentile metrics in the Metric Browser under Business Transaction Performance > Business Transactions > > > Percentiles.

https://docs.appdynamics.com/display/PRO45X/Percentile+Metrics

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 behaviorof 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.

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 file1 References: 1: Filter Sensitive Data

The Policy Test Bench gives administrators the ability to test and debug policy execution. It allows you to simulate events and see how the policies and actions respond to them. You can also view the policy execution logs and troubleshoot any issues1 References: 1: Policy Test Bench

 The default auto-refresh interval for custom dashboards is 120 seconds. This means that the data displayed on the dashboard will be updated every two minutes. The auto-refresh interval can be configured by the dashboard owner or administrator from the dashboard settings. The auto-refresh interval can be set to any value between 15 and 300 seconds, or disabled altogether. The auto-refresh interval applies to all the widgets on the dashboard, unless a widget has its own refresh interval specified.https://docs.appdynamics.com/appd/23.x/latest/en/appdynamics-essentials/dashboards-and-reports/custom-dashboards/create-and-manage-custom-dashboards-and-templates

According to the Data Collectors document1, a data collector is a configuration that captures application data from a method invocation or an HTTP request. A data collector is associated with a specific method signature or an HTTP parameter name. Therefore, if a new class and method have been deployed to the application, or a new method parameter has been added to an instrumented class, the existing data collector may not match the new code and may need to be updated. However, if the business transaction has been deprecated, or a new HTTP parameter has been added to an existing business transaction, the existing data collector may still work as expected, unless the data collector is specifically configured to filter by the business transaction name or the HTTP parameter value. References:

Data Collectors

The Mark Business Transaction as Error checkbox under Configuration > Instrumentation > Error Detection allows you to control whether a business transaction is reported as an error or not. If you clear this checkbox, the business transaction will not be marked as an error and will not affect the error count metrics.

According to the Error Detection: Mark Business Transaction as Error - AppDynamics, the following statements are true when you clear this checkbox:

The transaction is included in Response Time metrics: This means that the transaction will still contribute to the response time metric, which measures the average time it takes for a request to be completed by AppDynamics. However, it will not affect other response time metrics, such as First Response Time or Average Time to First Byte.

The transaction is added to error count metrics: This means that the transaction will still count towards the error count metric, which measures the number of transactions that have failed due to errors. However, it will not affect other error count metrics, such as Error Rate or Error Percentage.

Therefore, A (The transaction is included in Response Time metrics) and B (The transaction is added to error count metrics) are true. References:

Error Detection: Mark Business Transaction as Error - AppDynamics

Business Transaction - AppDynamics

Error Detection - AppDynamics