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質問 # 22
Which type of Data Collector will capture code data such as method arguments, variables, and return values?
- A. URI Data Collector
- B. Servlet Container Collector
- C. Method Invocation Data Collector
- D. Transaction Data Collector
正解：C
解説：
The "Method Invocation Data Collector" is specifically designed to capture code-level data such as method arguments, variables, and return values. This type of data collector enables deep visibility into the execution of methods within transactions, providing valuable insights into the application's behavior and performance. This detailed level of monitoring is essential for diagnosing complex issues and understanding the inner workings of business transactions.
References:
AppDynamics documentation on Data Collectors: Details the types of data collectors available, including Method Invocation Data Collectors, and how they can be used to capture detailed code-level data.
質問 # 23
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 # 24
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 # 25
Which two views can a Controller-level custom dashboard provide? (Choose two.)
- A. A customized view of applications, servers, and database performance data
- B. Aggregate and compare data from only a single application on the same Controller
- C. Show a single view of only historical data.
- D. Aggregate and compare data from different applications on the same Controller
正解：A、D
解説：
Controller-level custom dashboards in AppDynamics have the flexibility to provide views that aggregate and compare data from different applications on the same Controller, as well as offer a customized view of applications, servers, and database performance data. This capability enables a holistic view of the IT environment, facilitating cross-application insights and the ability to correlate performance across different layers of the technology stack. Such dashboards are invaluable for understanding overarching trends, pinpointing systemic issues, and driving informed decision-making across multiple applications and infrastructure components.
References:
AppDynamics documentation on Custom Dashboards: Provides detailed instructions on creating and customizing dashboards at the Controller level, including the aggregation and comparison of data from various sources.
AppDynamics documentation on Controller UI: Explains the functionalities available within the Controller UI, including the creation of comprehensive dashboards that encompass application, server, and database metrics.
質問 # 26
Which two things should a Performance Analyst check if an agent has failed to register with the Controller after several minutes? (Choose two.)
- A. total free RAM
- B. current CPU load average
- C. network/firewall rules
- D. free license count
正解：C、D
解説：
If an agent fails to register with the Controller, a Performance Analyst should check the network/firewall rules to ensure that the agent can communicate with the Controller over the network. Additionally, it is crucial to verify the free license count to confirm thatthere are available licenses for the agent to register. Insufficient licenses or network communication barriers can prevent successful agent registration.
References:
AppDynamics documentation on Agent Registration: Describes the prerequisites and troubleshooting steps for agent registration with the Controller.
AppDynamics documentation on Licensing: Provides details on how the licensing model works, including how to check for available licenses.
質問 # 27
In which two features of AppDynamics can Information Points metric data be used? (Choose two.)
- A. Custom Dashboards
- B. Flow Maps
- C. Alerting
- D. Analytics
正解：A、C
解説：
Information Points in AppDynamics are custom metrics that track specific data within your applications, such as method invocations or the value of method arguments. These metrics can be utilized in various features of AppDynamics, most notably in "Alerting" and "Custom Dashboards." Alerting allows you to set up notifications based on the thresholds set for Information Points, ensuring that teams are promptly informed about significant changes or anomalies. Custom Dashboards enable the visualization of Information Points metrics alongside other key performance indicators, providing a comprehensive view of application health and performance tailored to specific needs.
References:
AppDynamics documentation on Information Points: Explains how to create and use Information Points to monitor specific business-relevant metrics.
AppDynamics documentation on Alerting: Details the process of setting up health rules and alerts based on various metrics, including those from Information Points.
AppDynamics documentation on Custom Dashboards: Guides on how to create dashboards that incorporate a wide range of metrics, including Information Points, for customized monitoring.
質問 # 28
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
質問 # 29
Which three pieces of information are required when creating a new database collector? (Choose three.)
- A. Primary table name
- B. Port number
- C. Database hostname/IP address
- D. Database Type
- E. System table name
正解：C、D
解説：
When creating a new database collector in AppDynamics, the essential pieces of information required include the "Database hostname/IP address," "Database Type," and "Port number." These details are crucial for establishing a connection to the database and ensuring accurate monitoring. The hostname/IP address identifies the server where the database is hosted, the Database Type specifies the database management system (e.g., MySQL, Oracle), and the Port number is necessary for network communication with the database server.
References:
AppDynamics documentation on Database Visibility: This section explains how to set up database collectors, including the required information for successful configuration.
質問 # 30
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 # 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
What are two options tor sharing snapshot details from the snapshot window? (Choose two.)
- A. Download PDF
- B. Custom Dashboard
- C. Copy to Clipboard
- D. Export
- E. Custom Report
正解：A、D
解説：
To share snapshot details from the snapshot window in AppDynamics, the options to "Download PDF" and
"Export" are typically used. "Download PDF" allows users to generate a PDF report of the snapshot details, providing a convenient and portable format for sharing and review. The "Export" option enables the extraction of snapshot data in various formats (e.g., CSV, XML), facilitating further analysis or sharing with other tools and stakeholders.
References:
AppDynamics documentation on Snapshots: This section covers how snapshots capture detailed performance data for transactions, including how to share and export this information for collaborative analysis.
質問 # 33
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 # 34
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 # 35
Which permission allows snapshot archiving?
- A. "Application level - Can create applications"
- B. "Can view data from all applications"
- C. "Configure Business Transactions"
- D. "Agent Advanced Operation"
正解：D
解説：
The permission to enable snapshot archiving in AppDynamics typically falls under advanced operational capabilities, such as those categorized under "Agent Advanced Operation." This permission allows users to archive transaction snapshots for long-term storage and analysis, which is essential for historical performance analysis and auditing purposes.
References:
AppDynamics documentation on Role-Based Access Control: Explains the different permissions and roles within AppDynamics, including those related to advanced agent operations and snapshot archiving.
質問 # 36
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 # 37
Which built-in scheduled report Includes load, response time, and error graphs?
- A. User Experience: Browser Apps
- B. All Application Summary
- C. Dashboard Report
- D. Application Health Report
正解：D
解説：
The "Application Health Report" is a built-in scheduled report in AppDynamics that includes vital metrics such as load, response time, and error graphs. This report provides a comprehensive overview of the application's health and performance, making it an essential tool for Performance Analysts to regularly review and share with stakeholders to ensure the application meets performance standards and user expectations.
References:
AppDynamics documentation on Reporting: Covers the types of reports available within AppDynamics, including the Application Health Report, detailing its contents and how to schedule and customize it.
AppDynamics documentation on Application Performance Management: Provides an overview of key performance indicators and metrics critical for assessing application health, many of which are included in the Application Health Report.
質問 # 38
Which option should a Performance Analyst use in an environment where virtual machines are routinely created and destroyed?
- A. Dappdynamics.http.proxyHost and -Dappdynamcs.http. proxy User
- B. Dappdynamics.agent.node.metainfo and -Dappdynamics.agent.nodeName
- C. Dappdynamics.agent.reuse.nodeName and - Dappdynamics.agent.reuse.nodeName.prefix
- D. Dappdynamics.agent.auto.node.prefix and -Dappdynamics.cron.vm
正解：C
解説：
In environments where virtual machines are frequently created and destroyed, using the agent configuration properties-Dappdynamics.agent.reuse.nodeNameand-Dappdynamics.agent.reuse.nodeName.prefixcan be beneficial. These settings allow AppDynamics agents to reuse node names for newly created instances, facilitating consistent monitoring and tracking across dynamic environments. This approach helps maintain clarity in application topology and ensures that performance data remains coherent even as the underlying infrastructure changes.
References:
AppDynamics documentation on Agent Configuration: Discusses advanced agent configuration options, including node name reuse, to accommodate dynamic environments such as those with frequently changing virtual machines.
AppDynamics documentation on Infrastructure Monitoring: Offers insights into best practices for monitoring in dynamic and virtualized environments.
質問 # 39
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