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Cisco 500-420 certification exam is an essential certification for IT professionals who want to demonstrate their expertise in AppDynamics technology. 500-420 exam covers a wide range of topics related to AppDynamics technology and is recognized by IT organizations worldwide. By passing 500-420 exam, candidates can enhance their skills and knowledge in AppDynamics technology, advance their career in the IT industry, and increase their earning potential.
Cisco 500-420 Exam is a vendor-neutral certification that is recognized by IT organizations worldwide. It is designed for IT professionals who want to enhance their skills and knowledge in AppDynamics technology and demonstrate their expertise to employers and clients. Cisco AppDynamics Associate Performance Analyst certification is also suitable for professionals who want to advance their career in the IT industry and increase their earning potential.
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Cisco 500-420 certification exam covers a wide range of topics related to application performance management. Some of the key topics covered in the exam include application performance monitoring, troubleshooting performance issues, configuring and deploying AppDynamics solutions, and analyzing data to optimize application performance. 500-420 Exam is designed to test the candidate's ability to apply these concepts in real-world scenarios and to demonstrate their proficiency in using AppDynamics solutions to manage application performance.
NEW QUESTION # 74
A Performance Analyst is reviewing Business Transactions with an application team. The application team wants to increase the Application Business Transaction limit because it needs visibility into all the different transactions. What should the Performance Analyst do?
Answer: B
Explanation:
The Performance Analyst should first investigate the Business Transactions exceeding the configured limit and determine why so many unique transactions are being registered. Business Transaction limits protect the Controller from excessive metric creation, unnecessary cardinality, and degraded monitoring performance.
A high transaction count is often caused by overly granular transaction naming, dynamic URL segments, request parameters, identifiers, or automatic discovery rules that create a separate Business Transaction for each variation. The analyst should review All Other Traffic, transaction detection rules, naming rules, and the entry points generating excessive registrations. Low-value traffic such as health checks, static resources, or framework-generated requests can be excluded, while related requests can be grouped or split more deliberately through Custom Match Rules.
Increasing the limit without correcting the underlying detection behavior may only postpone the problem and increase Controller resource consumption. The limit should be raised only after the transaction model has been validated and a genuine business requirement remains.
Relevant CAAPA Study Guide topics include Business Transaction Limits, All Other Traffic, Transaction Detection Rules, Custom Match Rules, Exclude Rules, Transaction Naming, and Metric Cardinality Management.
NEW QUESTION # 75
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?
Answer: C
Explanation:
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.
NEW QUESTION # 76
Which tab within the Application Dashboard displays performance trends for each of Snapshots, Average Response Time, and Events within one central view?
Answer: B
Explanation:
The Transaction Score tab within the Application Dashboard is designed to display performance trends across various metrics including Snapshots, Average Response Time, and Events. It gives a comprehensive view of the transaction performance, providing a score that reflects the health and reliability of transactions over time.
References:
AppDynamics documentation on Application Dashboard:
NEW QUESTION # 77
Which data type can be collected as custom data by an Information Point?
Answer: C
Explanation:
An AppDynamics Information Point can collect String values as custom data. Information Points instrument selected application methods so that analysts can monitor method-level performance and capture business context without defining the method as a complete Business Transaction.
Custom data is typically extracted from a method argument, return value, object field, or getter chain. The resulting String value can provide contextual information such as an order category, customer type, transaction status, product identifier, or processing state. This data is associated with the monitored method execution and can support detailed troubleshooting and business-level analysis.
Numeric values such as integers or floating-point numbers are generally treated as candidates for custom metrics, where AppDynamics can aggregate and report values over time. Boolean values are not the designated custom-data type for this Information Point configuration. The distinction is therefore between textual custom data, represented as a String, and numerical measurements intended for metric aggregation.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Monitoring, Getter Chains, Custom Data Collection, Custom Metrics, Method Arguments, Return Values, and Business Context Capture.
NEW QUESTION # 78
Which item supplements business transaction and transaction analytics data with application data?
Answer: D
Explanation:
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.
NEW QUESTION # 79
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