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質問 # 22
A Business Transaction was registered and displayed on the Business Transaction Dashboard. It has continuous load on it. After an hour the Business Transaction stopped being displayed in the Business Transaction Dashboard. Which action stopped the display of the Business Transaction?
- A. The Business Transaction Lock Down was enabled an hour ago.
- B. The Business Transaction Custom Match Rule was deleted an hour ago.
- C. The Business Transaction had been excluded an hour ago from the Business Transaction Dashboard.
- D. The Business Transaction had been deleted an hour ago from the Business Transaction Dashboard.
正解：B
解説：
If a Business Transaction stops being displayed on the Business Transaction Dashboard after continuous load, it could be due to the deletion of the Business Transaction Custom Match Rule. Custom Match Rules in AppDynamics are used to define custom business transactions based on specific criteria. If such a rule is deleted, transactions that were previously identified and displayed based on that rule may no longer be recognized as distinct business transactions, leading to their disappearance from the dashboard.
References:
AppDynamics documentation on Business Transactions: Provides insights on configuring and managing business transactions, including the use of custom match rules.
質問 # 23
The performance impact on the_______would lead a Performance Analyst to limit the duration and frequency of automatic diagnostic sessions.
- A. Controller
- B. Application
- C. Operating System
- D. Network
正解：B
解説：
The primary concern for a Performance Analyst when considering the impact of automatic diagnostic sessions is the application itself. Intensive diagnostic sessions can be resource-heavy, potentially affecting the application's performance. Therefore, it is often necessary to limit the duration and frequency of these sessions to ensure they do not negatively impact the application's end-user experience.
References:
AppDynamics documentation on Diagnostic Sessions:
https://docs.appdynamics.com/latest/en/troubleshoot/diagnostic-sessions
質問 # 24
Which item supplements business transaction and transaction analytics data with application data?
- A. Data collectors
- B. Netflow data
- C. Demarcation collectors
- D. Endpoint sensors
正解：A
解説：
Data collectors in AppDynamics supplement business transaction and transaction analytics data with application data by capturing additional information during transaction execution. This can include method arguments, return values, and invocation context, which enriches the transaction data with more detailed application-level insights. This capability is crucial for in-depth performance analysis and troubleshooting, providing a more comprehensive view of application behavior.
References:
AppDynamics documentation on Data Collectors: Explains how to configure data collectors to capture and display detailed application data within business transactions.
質問 # 25
What are two differences between creating a Transaction Group using the 'Create Group' action and defining a Transaction Detection rule? (Choose two.)
- A. A Transaction Detection Rule changes the name of the incoming request and reduces the number of overall Business transactions.
- B. Transaction Groups create Transaction Detection Rules in a faster easier way.
- C. Create Transaction Group changes the name of the incoming request and reduces the number of overall Business transactions.
- D. A Transaction Group aggregates the data of multiple transactions.
正解：B、D
解説：
Creating a Transaction Group using the 'Create Group' action in AppDynamics allows for the aggregation of data from multiple transactions under a single group, facilitating a consolidated view of similar transactions.
This differs from defining a Transaction Detection Rule, which typically focuses on identifying and categorizing individual transactions based on specific criteria. Transaction Groups do not change the names of incoming requests nor reduce the number of overall business transactions; instead, they provide a method for organizing and analyzing related transactions collectively, offering a streamlined approach compared to individually configuring Transaction Detection Rules for each transaction.
References:
AppDynamics documentation on Business Transactions: Covers the concept of Transaction Groups and their role in organizing and analyzing transaction data, as well as the process for creating and managing Transaction Detection Rules.
質問 # 26
Which two statements are correct about creating Information Points? (Choose two.)
- A. A wildcard can be used to select multiple classes for an Information Point.
- B. A wildcard can be used to select multiple methods for an Information Point.
- C. An Information Point can be created on the same class and method as a Custom Exit Point.
- D. An Information Point can be created on a class and method that is executed before the Business Transaction entry point.
正解：A、B
解説：
When creating Information Points in AppDynamics, wildcards can be utilized to select multiple methods or classes, thereby broadening the scope of data collection. This feature is particularly useful for monitoring similar operations across different components of an application, enabling a more efficient and scalable approach to gathering custom metrics.
References:
AppDynamics documentation on Information Points: Elaborates on the process of setting up Information Points, including the use of wildcards to capture metrics from multiple methods or classes.
質問 # 27
What are two types of Data CollectorsinAppDynamics APM? (Choose two.)
- A. Remote Service invocation data collectors
- B. HTTP data collectors
- C. Method invocation data collectors
- D. SQL data collectors
正解：C、D
解説：
In AppDynamics Application Performance Management (APM), two types of Data Collectors are SQL data collectors and Method invocation data collectors. SQL data collectors capture and record detailed information about SQL queries executed by the application, helping identify slow or inefficient database operations.
Method invocation data collectors capture information about specific method calls within the application code, including execution times and parameters, providing deep insights into code-level performance.
References:
AppDynamics documentation on Data Collectors: Provides detailed information on configuring SQL and Method invocation data collectors for in-depth application monitoring.
質問 # 28
Which health rule violation event will be triggered when a Performance Analyst modifies the existing health rule that is already in critical violation?
- A. Health Rule Violation Started - Critical
- B. Health Rule Violation Ended - Critical
- C. Health Rule Violation Continues - Critical
- D. Health Rule Violation Canceled - Critical
正解：C
解説：
When a Performance Analyst modifies an existing health rule that is already in a state of critical violation, the event that is typically triggered is "Health Rule Violation Continues - Critical." This event indicates that, despite the modification, the health rule is still being violated at a critical level. The system recognizes that the conditions for the health rule violation are still being met and continues to alert accordingly.
References:
AppDynamics documentation on Health Rules and Events: Explains the different types of health rule events and the conditions under which they are triggered.
質問 # 29 
Refer to the exhibit. Using this heap utilization graph, which method is used to confirm if a memory leak is occurring during a certain time frame?
- A. Refer to the Tiers and Nodes section and into the JMX tab and select JVM > Memory > Heap > Max Available (MB) and Current usage (MB)
- B. In metric browser go through Application Infrastructure > Hardware Resources > Memory Total (MB) and Swap Used (MB)
- C. In metric browser go through Application Infrastructure > Hardware Resources and select Memory Total (MB) and Used (MB)
- D. Refer to the Tiers and Nodes section and into the Memory tab and visualize Heap Utilization (%) and Heap Current Usage (MB) Vs Max (MB)
正解：D
解説：
To confirm if a memory leak is occurring, one should refer to the Tiers and Nodes section of the AppDynamics Controller UI, navigate to the Memory tab, and observe the Heap Utilization over time in relation to the Heap's Current Usage (MB) versus the Maximum (MB) allocated. Consistent growth in heap utilization or an upward trend that does not decrement even after garbage collection indicates a potential memory leak.References:AppDynamics documentation on Memory Leak Detection and Heap Analysis.
質問 # 30
Which three reports can be scheduled for periodic generation and delivery to email recipients? (Choose three.)
- A. Custom Dashboard
- B. Application Health
- C. Error Trends
- D. Ad Hoc Data
- E. Controller Audit
- F. Tier List
正解：A、B、C
解説：
AppDynamics allows for several reports to be scheduled for periodic generation and sent to email recipients.
Among these, Application Health, Error Trends, and CustomDashboards are types of reports that can be automatically generated and delivered, providing regular insights into the application's performance and issues.
References:
AppDynamics documentation on Reports:
https://docs.appdynamics.com/latest/en/application-monitoring/reporting
質問 # 31
A client needs to reference a metric from different applications on an AppDynamics dashboard. Which of the following is true?
- A. Metrics from different applications can be cross referenced on an AppDynamics dashboard
- B. Metrics from different applications cannot be cross referenced or combined on an AppDynamics dashboard
- C. Metrics from different applications cannot be cross referenced on an AppDynamics dashboard
- D. Metrics from different applications can be cross referenced but cannot be combined in a single dashboard
正解：A
解説：
In AppDynamics, metrics from different applications can indeed be cross-referenced on a single dashboard.
This allows for a more holistic view of an organization's application ecosystem, facilitating the comparison and correlation of performance metrics across different applications within the same AppDynamics controller.
References:
AppDynamics documentation on Custom Dashboards: Details how to create custom dashboards that can include metrics from multiple applications, enabling cross-referencing and comprehensive performance monitoring.
質問 # 32
Which Application Dashboard view categorizes transactions by load, response time, errors, slow transactions, and stalled transactions in a single aggregated value for a specific time range?
- A. Transaction Score
- B. Top Business Transactions
- C. Transaction Snapshots
- D. Machine Snapshots
正解：A
解説：
The Transaction Score view in the Application Dashboard categorizes transactions by load, response time, errors, slow transactions, and stalled transactions. It provides an aggregated value for a specific time range, giving an at-a-glance indication of the health and performance of business transactions.
References:
AppDynamics documentation on Transaction Score:
https://docs.appdynamics.com/latest/en/application-monitoring/application-dashboard
質問 # 33
Which three data points can be located by drilling down into a JDBC exit call for an Oracle backend? (Choose three.)
- A. Query type
- B. Weight %
- C. Statement type
- D. Originating node
- E. Query Id
- F. %Time
正解：A、C、D
解説：
When drilling down into a JDBC exit call for an Oracle backend, AppDynamics provides detailed information about the call. The data points include:
Query type, which can indicate whether it's a SELECT, INSERT, UPDATE, or DELETE statement.
Statement type, which describes the nature of the SQL statement being executed.
Originating node, which identifies the node from which the JDBC call originated.
These data points help in understanding the nature and source of database operations, which can be critical for performance analysis and troubleshooting.
References:
AppDynamics documentation on Database Monitoring:
質問 # 34
What are two examples of backend calls? (Choose two.)
- A. a tier-to-tier request
- B. a remote services call
- C. a request coming from a browser
- D. an asynchronous request
正解：A、B
解説：
Backend calls in AppDynamics are the interactions that an application component has with external components or services. These can include calls to databases, remote service calls, and interactions between different tiers of an application.
A tier-to-tier request refers to any internal call that happens between different tiers (or nodes) within the same application. For example, a web tier calling an API service tier within the same application ecosystem.
A remote services call is an external call from an application to a service that resides outside of the application's environment, like a call to an external web service, REST API, or a third-party service provider.
References:
AppDynamics documentation on Backend Detection:
https://docs.appdynamics.com/21.6/en/application-monitoring/identify-backends
質問 # 35
Which two functions does the Business Transaction Discovery Feature allow a user to perform? (Choose two.)
- A. Identify servers on which to install an AppDynamics application agent
- B. Identify PHP Business Transactions and preview them
- C. Identify potential Business Transactions and preview them
- D. Identify new Business transactions in the Business Transaction Dashboard
- E. Identify entry points from uninstrumented code
正解：C、D
解説：
The Business Transaction Discovery feature in AppDynamics allows users to identify new and potential business transactions directly within the Business Transaction Dashboard. This feature aids in the continuous monitoring and adaptation of the application's transaction tracking to changing business needs, ensuring comprehensive visibility. Users can also preview these identified transactions, assessing their relevance and impact on the application's performance before deciding to monitor them as official business transactions.
References:
AppDynamics documentation on Business Transaction Monitoring: Discusses how to manage and monitor business transactions, including the discovery and preview of new or potential transactions.
AppDynamics documentation on Business Transaction Dashboard: Explains the functionalities and features of the Business Transaction Dashboard, including transaction discovery.
質問 # 36
A team of developers deploys new Java servlet code that should create new business transactions in AppDynamics. After applying load on the new code function, there are no new Business Transactions on the Business Transaction Dashboard. Whichtwo options should the developers check in AppDynamics to make sure the Business Transactions can be discovered?
[Choose two.)
- A. The tier with the new code does not have any rules excluding it.
- B. Auto Discovery for servlet is turned on for Java agents.
- C. There is a health rule created to check for transaction performance.
- D. The metric browser to see if the new transactions appear under Business Transaction Performance.
- E. Auto discovery for service endpoints is turned on.
正解：A、B
解説：
When new business transactions are not appearing on the Business Transaction Dashboard after deploying new code, developers should verify that there are no exclusion rules in place on the tier where the new code was deployed. Additionally, it is crucial to ensure that the Auto Discovery feature for servlets is enabled for Java agents, as this allows AppDynamics to automatically detect and name business transactions based on incoming requests to servlets. Both of these checks are necessary to ensure that new business transactions can be discovered and monitored.References:AppDynamics documentation on Business Transaction detection and Java Agent configuration.
質問 # 37
When using the REST interlace where would a Performance Analyst go to see all of the capturedendpointsby service?
- A. Navigate to the Applications browser then drill down the requested endpoint with the available Dashboard & Metrics indicators then selected the desired metric.
- B. Navigate to the Metric Browser then to the specific metric. Copy the REST URL from the Metric Browser and then use a wildcard query to get the metrics for other SEPs.
- C. Access the MySQL database and find all the endpoints in an app. where can drill down to the tier and transactions using the endpoints. Select the appropriate REST feature enabled by the service endpoint.
- D. Navigate to the Metric Browser then to the Consumed Endpoints location. Drill down in the metric browser on the specific endpoint to call out its services.
正解：D
解説：
To view all captured endpoints by service using the REST interface in AppDynamics, a Performance Analyst would navigate to the Metric Browser and proceed to the "Consumed Endpoints" section. From there, drilling down on specific endpoints within the Metric Browser allows the analyst to explore the services associated with each endpoint. This method enables detailed analysis of endpoint metrics, facilitating the monitoring and optimization of service performance.
References:
AppDynamics documentation on Metric Browser: Guides on navigating the Metric Browser to access and analyze various application metrics, including those related to endpoints and services.
AppDynamics documentation on REST API: Provides information on how to utilize the REST API for retrieving metrics, including endpoint data.
質問 # 38
Which option, in addition to "minutes since creation", would a Performance Analyst use while configuring Automatic Cleanup of stale Business Transactions?
- A. Transaction Type
- B. Class/Method Filter
- C. Regular Expression
- D. Number of Calls
正解：D
解説：
When configuring Automatic Cleanup of stale Business Transactions, the "minutes since creation" option is often paired with the "Number of Calls" metric. This setting ensures that business transactions that have not been called within a certain timeframe and have had a negligible number of calls are automatically cleaned up, helping to maintain an organized and relevant set of business transactions in the monitoring system.
References:
AppDynamics documentation on Business Transactions: Discusses best practices for managing business transactions, including the automatic cleanup based on time and call volume thresholds.
質問 # 39
A Performance Analyst needs to send a summary report of specific events every two hours. Which feature can enable this automated report summary?
- A. Email / SMS Configuration
- B. Email Templates
- C. HTTP Request Templates
- D. Email Digests
正解：D
解説：
To send a summary report of specific events every two hours, a Performance Analyst can use the "Email Digests" feature in AppDynamics. This feature allows for the automated aggregation and delivery of pertinent event information at predefined intervals, ensuring stakeholders remain informed about the application's performance and significant events without the need for constant manual monitoring.
References:
AppDynamics documentation on Alerting and Notifications: Details the configuration of email notifications and digests for events and alerts, including scheduling and content customization options.
AppDynamics documentation on Reports: Provides information on various reporting features, including the setup of automated email digests.
質問 # 40
When should URI Segments be used in Transaction Detection rules?
- A. When the application is a Web-Oriented Technology
- B. When identifying business transactions using particular parts of the SMTP request
- C. When the application uses message-oriented technologies
- D. When the agent names the business transaction for the Web service name plus the operation name
正解：A
解説：
URI Segments should be used in Transaction Detection rules when the application is web-oriented.
Web-oriented applications often have meaningful information in the URIthat can identify different business transactions. URI Segments can help in defining patterns that match specific parts of the URI to distinguish different transactions.
References:
AppDynamics documentation on Transaction Detection:
https://docs.appdynamics.com/latest/en/application-monitoring/business-transactions
質問 # 41
Which statement about Service End Points and Business Transactions is true?
- A. Service End Points and Business Transactions can both be renamed by right clicking and selecting
'rename'. - B. Service End Points and Business Transactions can both be split.
- C. Service End Points and Business Transactions can both configure data collectors.
- D. Service End Points and Business Transactions both provide percentile metrics.
正解：C
解説：
Both Service Endpoints and Business Transactions in AppDynamics have the capability to configure data collectors. Data collectors are used to gather detailed information about transactions or endpoints, such as method parameters, return values, and SQL statements.
References:
AppDynamics documentation on Data Collectors:
https://docs.appdynamics.com/latest/en/application-monitoring/configure-data-collection
質問 # 42
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