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Unless archived, what is the default length of time events can be viewed with full detail before being
purged?
A. 7 days B. 14 days C. 21 days D. 1 month
Answer: A
Explanation:
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 systems1 Reference: 1: Events
periods or export them to external systems1 Reference: 1: Events
Question # 2
Where do you go to create a user in the web user interface?
A. Settings > Administration B. Settings > AppDynamics Agents C. Settings > My AppDynamics Account D. Settings > Groups and Roles > Create User
Answer: D
Explanation:
To create a user in the web user interface, you need to go to Settings > Groups and Roles > Create
User. This option allows you to add a new user account and assign it to one or more groups. You can
also specify the users name, email, password, and authentication method1 Reference: 1: Create
Users
Question # 3
A customer wants a dashboard that will show them the number of current database connections ontheir application in a Timeseries graph, and compare it to past averages for the same time Whatoption would solve this the fastest for the customer?
A. Create another dashboard and put them side by side. B. Create a report that shows the historical data they are looking for C. Include baseline data within widgets on the dashboard D. Open up the application and change the time range to show the time they want
Answer: C
Explanation:
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 œDatabase Connections and enable the option
œShow 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.
Question # 4
Which role would you need to grant to an existing user for them to manage Controller securitysettings?
A. Credentials Administrator B. Administrator C. Security Administrator D. Analytics Administrator E. Account Owner
Answer: C
Explanation:
To manage Controller security settings, you would need to grant the Security Administrator role to an
existing user. The Security Administrator role is a built-in role that allows the user to access and
modify the security settings of the Controller, such as encryption, certificates, authentication,
authorization, and audit1. The Security Administrator role also inherits the permissions of the
Credentials Administrator role, which allows the user to manage the credentials for the Controller
and the agents2. The other roles listed do not have the permission to manage Controller security
settings. The Administrator role can perform most administrative tasks, but not security-related
ones2. The Analytics Administrator role can manage the analytics platform and data, but not the
Controller security3. The Account Owner role can manage the account settings and licenses, but not
Capacity planning for a regionally partitioned application requires that the administrator monitorsthe number of users and orgs mapped to a database. How does the administrator meet thisrequirement?
A. Schedule an analytics query to check and report on the result periodically B. Write code in a custom action that alerts when a region has reached capacity C. Use a custom metric for databases and alert when it approaches a specific level D. Watch the size of the database and alert when it grows too much
Answer: A
Explanation:
Capacity planning is the process of estimating and allocating the resources needed to meet the
current and future demands of an application. For a regionally partitioned application, where
different users and organizations are assigned to different databases based on their location, capacity
planning requires that the administrator monitors the number of users and orgs mapped to each
database and ensures that they do not exceed the available resources.
According to the AppDynamics Analytics - AppDynamics, one way to meet this requirement is to
schedule an analytics query to check and report on the result periodically. An analytics query is a
SQL-like query that allows you to analyze and visualize the data collected by AppDynamics, such as
business transactions, logs, metrics, events, and custom data. You can use analytics queries to create
dashboards, widgets, reports, and alerts that provide insights into the performance and behavior of
your applications and their components.
To schedule an analytics query to check and report on the number of users and orgs mapped to a
database, the administrator can follow these steps:
Go to Analytics > Search.
Select the data source that contains the user and org information, such as Business Transactions,
Logs, or Custom Data.
Enter the query that counts the number of users and orgs for each database, such as SELECT
database, COUNT(DISTINCT user), COUNT(DISTINCT org) FROM data_source GROUP BY database.
Click the Save button and enter a name and description for the query.
Click the Schedule button and select the frequency, time range, and recipients for the query
execution and report delivery.
Click Save.
Therefore, A (Schedule an analytics query to check and report on the result periodically) is the
Which two would be marked as an exception in AppDynamics? (Choose two)
A. HTTP errors that do not occur in the context of a Business Transaction B. a custom-configured error method and error message C. any message that is logged with a severity of Error or Fatal D. a handled exception after the business transaction terminates
Answer: BC
Explanation:
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
Which three widgets can be on a Custom Dashboard? (Choose three.)
A. Flow Map B. iFrame C. Health List D. Snapshot E. Funnel Analysts
Answer: ABC
Explanation:
According to the Widgets document1, there are various types of widgets that can be used to create
visual representations of data in custom dashboards and war rooms. Some of the widget types are:
Flow Map: A flow map widget displays the flow of traffic between different entities, such as
applications, tiers, nodes, backends, and so on. You can customize the flow map to show different
metrics, filters, and drill-down options.
iFrame: An iFrame widget allows you to embed an external web page or another dashboard within a
custom dashboard. You can specify the URL, height, and width of the iFrame widget.
Health List: A health list widget displays the health status of different entities, such as applications,
tiers, nodes, business transactions, and so on. You can customize the health list to show different
metrics, filters, and drill-down options.
Therefore, the correct answer is A, B, and C. Snapshot and Funnel Analysts are not widget types, but
features or tools that can be accessed from other widgets or dashboards. Reference:
Widgets
Question # 8
After installing the standalone machine agent, how do you enable the agent to start collecting
metrics?
A. The machine agent requires an app agent to collect metrics B. The machine agent runs with the monitored application C. The machine agent starts collecting metrics as soon as it is installed D. The machine agent must be started and running
Answer: D
Explanation:
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
Question # 9
What minimum details are required to properly configure a database agent from a zip file?
A. Controller Host Database Agent Name. Account Access Key. Account Name B. Database Host Database Port Login Credentials C. Controller Host Controller Port, Account Access Key. Account Name D. Database Host Login Credentials
To properly configure a database agent from a zip file, you need to provide the following minimum
details:
Controller Host: This is the hostname or IP address of the machine where the Controller is
installed. You need to specify this so that the Database Agent can communicate with the Controller
and send the collected data1
Controller Port: This is the port number that the Controller listens on for incoming connections. You
need to specify this so that the Database Agent can connect to the Controller using the correct
protocol. The default ports are 8090 for HTTP and 8181 for HTTPS for on-premise Controllers, and 80
for HTTP and 443 for HTTPS for SaaS Controllers1
Account Access Key: This is the key that authenticates the Database Agent with the Controller. You
need to specify this so that the Database Agent can register itself with the Controller and access the
license. You can find the account access key in the Controller UI under Settings > License > Account1
Account Name: This is the name of the account that the Database Agent belongs to. You need to
specify this so that the Database Agent can associate itself with the correct application and user
permissions. You can find the account name in the Controller UI under Settings > License > Account1
Reference: 1: Install the Database Agent
Question # 10
By default, which two Sensitive Data Filters substring does the Java Agent enable? (Choose two.)
A. substring "ssn" B. substring "credit card" C. substring "key" D. substring "account" E. substring "password"
Answer: CE
Explanation:
By default, the Java Agent enables two Sensitive Data Filters substring: substring œkey and substring
œpassword . 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 Reference: 1: Filter Sensitive Data
Question # 11
On a custom dashboard, which three types of information does a non-administrator user view?(Choose three.)
A. the current weather in Seattle B. the number of AppDynamics licenses consumed C. the company logo D. the version of the AppDynamics Controller E. a Timeseries graph
Answer: CDE
Explanation:
On a custom dashboard, a non-administrator user can view the following types of information:
The company logo: A custom dashboard can display the company logo in the upper left corner of the
dashboard. This can help to brand the dashboard and make it more recognizable for the intended
audience. The logo can be configured by the dashboard owner or administrator from the dashboard
settings1.
The version of the AppDynamics Controller: A custom dashboard can display the version of the
AppDynamics Controller in the upper right corner of the dashboard. This can help to identify the
Controller that is hosting the dashboard and the features that are available. The version can be
configured by the dashboard owner or administrator from the dashboard settings1.
A Timeseries graph: A custom dashboard can display a Timeseries graph widget that shows the trend
of a metric over time. This can help to visualize the performance and behavior of the application,
server, or database that is being monitored. A Timeseries graph can be configured by the dashboard
owner or administrator from the widget settings2.
A non-administrator user cannot view the following types of information on a custom dashboard:
The current weather in Seattle: A custom dashboard cannot display the current weather in Seattle or
any other location, as this is not a metric or data point that is reported by AppDynamics agents or the
analytics platform. A custom dashboard can only display the data that is collected and stored by
AppDynamics2.
The number of AppDynamics licenses consumed: A custom dashboard cannot display the number of
AppDynamics licenses consumed, as this is a Controller-level information that is only accessible by
the Controller administrator. A custom dashboard can only display the data that is scoped by the
Java APM agents used in a production environment are consistently found to be disabled while nodevelopment environments exhibit this behavior Given that agents in both environments use thedefault configuration, what solution should be implemented to resolve this issue?
A. Enable agent auto-restart in the controller Ul. B. Increase heap space for agent C. Decrease worker thread count D. Enable heap-storage-monitor-enabled setting on agent.
Answer: D
Explanation:
One possible reason why Java APM agents used in a production environment are consistently found
to be disabled while no development environments exhibit this behavior is that the production
agents are running out of heap memory and crashing. This can happen if the production agents are
monitoring a high volume of business transactions, metrics, or snapshots, and the default heap size
is not sufficient to handle the load. To resolve this issue, you can enable the heap-storage-monitorenabled
setting on the agent, which allows the agent to monitor its own heap usage and
automatically reduce the amount of data it collects when the heap usage reaches a certain threshold.
This can help to prevent the agent from running out of memory and crashing. You can also adjust the
heap-storage-monitor-threshold setting to specify the percentage of heap usage that triggers the
data reduction1. Alternatively, you can also increase the heap space for the agent by using the -Xmx
option in the agent startup script, but this may require more resources from the host machine2.
The other options are not valid solutions to resolve this issue. Enabling agent auto-restart in the
controller UI will not prevent the agent from crashing due to heap exhaustion, but only restart the
agent after it crashes. This may cause data loss and performance degradation3. Decreasing the
worker thread count will not affect the heap usage of the agent, but only limit the number of
concurrent tasks that the agent can execute. This may reduce the agent throughput and
After agents are installed, and application data is flowing through a Java application, a user sees thata remote database has not been discovered in a known Business Transaction. To determine andconfigure the exit call to the database where would you go?
A. Configuration > Java > Backend Detection > JDBC B. Databases > Configuration > Collectors C. Configuration > Instrumentation > Backend Detection > Java D. Database Calls > Options > Backend Detection > JDBC
Answer: C
Explanation:
To determine and configure the exit call to the database, you need to go to Configuration >
Instrumentation > Backend Detection > Java. An exit call is a call from an application component to
an external service or system, such as a database, a web service, a message queue, or a cache. A
backend is a logical representation of an external service or system that receives exit calls from an
application component. AppDynamics automatically detects and identifies common types of
backends, such as JDBC, HTTP, JMS, and so on.
According to the Exit Point Detection Rules - AppDynamics, the following steps are required to
determine and configure the exit call to the database:
Go to Configuration > Instrumentation > Backend Detection > Java.
Select the application and the tier that contains the exit call to the database.
Click the Add button to create a new exit point detection rule.
Enter a name and description for the rule.
Select the type of exit call from the drop-down list, such as JDBC, HTTP, JMS, and so on.
Specify the class and method that make the exit call to the database.
Specify the match criteria for the exit call, such as the URL, the query, the host, the port, and so on.
Click Save.
Therefore, C (Configuration > Instrumentation > Backend Detection > Java) is the correct
While troubleshooting a performance issue on a Java application the engineer determines there is apossible memory leak in the JVM Using AppDynamics, how would the engineer determine rf there isa memory leak?
A. Examine the values on the Server tab on one of the affected Nodes. B. Configure Object Instance Tracking on the Tier in question. C. Verify and adjust the Memory Monitoring configuration for the Tier in question D. Analyze the information on the Memory tab on one of the affected Nodes
Answer: D
Explanation:
According to the Java Memory Leaks document1, one of the ways to detect and troubleshoot Java
memory leaks is to use the Automatic Leak Detection feature on the Memory tab of the Node
Dashboard. This feature captures and analyzes the collections that are actively used and growing in
size over time, indicating a potential memory leak. You can also drill down into the leaking
collections to see the content summary and the access traces that show the code path and the
business transactions that access the collection. Therefore, the correct answer is D. Examining the
values on the Server tab, configuring Object Instance Tracking, or verifying and adjusting the Memory
Monitoring configuration may not directly reveal the source of the memory leak, but they may
provide some useful information or metrics to support the diagnosis. Reference:
Java Memory Leaks
Question # 15
When troubleshooting an application using AppDynamics. which order would help narrow down acode problem with a specific business transactionthe fastest?
A. Review Application Dashboard > Check transaction scorecard > Check Transactions snapshots for
problems B. Review Exceptions > Look at Errors > Use Compare Releases C. Review Application Dashboard > Look at Events > Check Service Endpoints D. Review tier and node metrics > Check Database Calls and metrics > Review Application Dashboard
Answer: A
Explanation:
When troubleshooting an application using AppDynamics, the fastest way to narrow down a code
problem with a specific business transaction is to follow this order:
Review Application Dashboard: This is the first step to get an overview of the health and
performance of your application and its components. You can see the key metrics, such as response
time, throughput, error rate, and load, for each tier, node, and business transaction. You can also see
the health rule violations, events, and alerts that indicate any issues or anomalies in your
application.
Check transaction scorecard: This is the second step to drill down to the details of a specific business
transaction that you want to troubleshoot. You can see the transaction scorecard by clicking on the
business transaction name on the application dashboard. The transaction scorecard shows the
metrics, such as average response time, calls per minute, errors per minute, and slow calls, for the
selected business transaction. You can also see the breakdown of the response time by tier, node,
and remote service, and the distribution of the response time by percentile.
Check transaction snapshots for problems: This is the third step to identify the root cause of the code
problem for the selected business transaction. You can see the transaction snapshots by clicking on
the View Snapshots button on the transaction scorecard. Transaction snapshots are the detailed
records of the execution of a business transaction, including the call graph, the exit calls, the errors,
the exceptions, the logs, the HTTP parameters, the cookies, the session attributes, and the custom
data. You can use the transaction snapshots to analyze the code execution, the database queries, the
web service calls, the message queues, the errors, and the exceptions that affect the performance of