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Cisco 500-420 Prüfungsplan:

Thema	Einzelheiten
Thema 1	Agents and Application Performance: This 500-420 exam topic examines the ability to effectively manage AppDynamics agents, monitor application performance, and troubleshoot related issues. It covers configuring alerts, identifying performance metrics, and generating reports. Cisco administrators, architects, and consultants must demonstrate their skills in maintaining agent functionality and analyzing application performance, ensuring optimal system operation.
Thema 2	Health Rules, Dashboards, and Snapshots: This topic tests the 500-420 exam candidate's competence in creating and managing health rules, dashboards, and snapshots. It includes monitoring health events, identifying issues through dashboards, and analyzing snapshots. The exam measures how well Cisco administrators and systems engineers can maintain application health and respond to potential issues, ensuring continuous system performance.
Thema 3	Business Transactions: This section evaluates the ability to manage and optimize business transaction configurations within Cisco AppDynamics. It involves creating transaction scopes, analyzing metrics, and managing detection logic. For Cisco architects and consultants, proficiency in this area is essential for ensuring that business transactions are accurately tracked and performance is optimized across the application.
Thema 4	Collectors, Information Points, and Service Endpoints: Candidates must demonstrate their ability to manage transaction splits, configure asynchronous transactions, and analyze endpoint metrics. Targeting aspiring Cisco systems implementers and architects, this section emphasizes the importance of data collection and analysis in maintaining application performance.
Thema 5	Troubleshooting: This topic assesses the expertise of Cisco administrators, architects, and consultants in using dashboards, following troubleshooting procedures, capturing snapshots, and evaluating server performance. Candidate aspiring to become the Cisco AppDynamics Associate Performance Analyst must demonstrate competence in identifying slow, error, and stalled business transactions.

>> 500-420 Prüfungsaufgaben <<

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Cisco AppDynamics Associate Performance Analyst 500-420 Prüfungsfragen mit Lösungen (Q40-Q45):

40. Frage
An online order portal for a restaurant has a "menu" transaction with different request types that must be monitored as separate transactions, such as "menu.salads" and "menu.entree." A Performance Analyst wants to create one rule that separates the transactions instead of creating an individual rule for each request type.
Which option should be enabled on a Custom Match rule?

A. HTTP Request Data Collector
B. Split Transaction using JSON
C. Method Invocation Data Collector
D. Split Transaction using request data

Antwort: D

Begründung:
The Performance Analyst should enable Split Transaction using request data. This capability allows a single Custom Match rule to dynamically divide one base transaction into multiple business transactions according to values contained in the incoming HTTP request. For example, the rule can identify the base transaction as menu and append a request-derived value such as salads or entree, producing distinct transactions named menu.salads and menu.entree.
This approach avoids maintaining separate match rules for every menu category and scales automatically as additional request values are introduced.
An HTTP Request Data Collector captures request attributes for visibility within transaction snapshots but does not itself split or rename business transactions. A Method Invocation Data Collector captures method parameters, return values, or invoked-object data and is also unrelated to transaction splitting. Split Transaction using JSON is appropriate only when the required discriminator must specifically be extracted from a JSON payload.
Relevant CAAPA topics include Business Transaction Detection, Custom Match Rules, Transaction Naming, Request-Based Splitting, and Data Collectors.

41. Frage
A Performance Analyst has decided to replace a Servlet Business Transaction with a Service Endpoint. There were no Business Transaction Custom Match Rules, and the analyst created a Business Transaction Custom Exclude Rule matching the transaction URI. The analyst also created a Service Endpoint Custom Match Rule matching the URI. Which statement is true?

A. The Performance Analyst will be able to monitor response times for this transaction.
B. The Performance Analyst will see exit points for this transaction.
C. The Performance Analyst will be able to see the Service Endpoint in snapshots for this transaction.
D. The Performance Analyst can correlate the Service Endpoint with EUM requests.

Antwort: A

Begründung:
The custom exclude rule prevents the servlet request from being registered and monitored as a Business Transaction, while the Service Endpoint custom match rule independently instruments the matching URI as a Service Endpoint. AppDynamics therefore continues to collect Service Endpoint metrics, including average response time, calls per minute, and errors, allowing the analyst to monitor the service's performance without consuming a Business Transaction registration.
The excluded request does not produce normal Business Transaction snapshots, so the analyst cannot rely on snapshot call graphs to inspect the Service Endpoint or its downstream exit calls. Exit-point visibility is normally obtained through Business Transaction snapshots and call graphs.
EUM correlation also depends on the server-side request being represented as a correlated Business Transaction. A standalone Service Endpoint does not replace that Business Transaction correlation path and therefore cannot provide equivalent browser or mobile EUM linkage.
Relevant CAAPA Study Guide topics include Service Endpoint Detection, Custom Service Endpoint Match Rules, Business Transaction Exclude Rules, Service Endpoint Metrics, Transaction Snapshots, Exit Calls, and EUM Correlation.

42. Frage
Which two statements are correct about creating Information Points? (Choose two.)

A. A wildcard can be used to select multiple methods for an Information Point.
B. An Information Point can be created on a class and method that is executed before the Business Transaction entry point.
C. A wildcard can be used to select multiple classes for an Information Point.
D. An Information Point can be created on the same class and method as a Custom Exit Point.

Antwort: A,C

Begründung:
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.

43. Frage
A Performance Analyst needs to send a summary report of specific events every two hours. Which feature can enable this automated report summary?

A. HTTP Request Templates
B. Email / SMS Configuration
C. Email Templates
D. Email Digests

Antwort: D

Begründung:
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.

44. Frage
What are three effects of Development Level Monitoring? (Choose three.)

A. AppDynamics increases information collected for exit calls to backend systems.
B. The agent captures a combination of full and partial call graphs in development mode.
C. The agent guarantees a snapshot for every transaction.
D. The agent ignores the "dev-mode-suspend-cpm" property.
E. The agent attempts to take a snapshot for every transaction.
F. The agent captures full call graphs in development mode.

Antwort: A,E,F

Begründung:
Development Level Monitoring is intended for controlled development or diagnostic environments where maximum transaction visibility is more important than minimizing agent overhead. In this mode, the agent captures full call graphs, providing method-level execution detail rather than the reduced or partial call-graph collection associated with normal production monitoring.
The agent also attempts to collect a transaction snapshot for every transaction. "Attempts" is the critical distinction: snapshot creation remains subject to agent safeguards, resource constraints, transaction behavior, and collection limits. Therefore, Development Level Monitoring does not provide an absolute guarantee that every transaction will produce a retained snapshot, making option F incorrect.
Development mode additionally collects more detailed exit-call information for calls to backend systems, improving analysis of downstream databases, services, and other remote dependencies.
The agent does not ignore dev-mode-suspend-cpm. This property is a protective calls-per-minute threshold that can suspend development-mode collection when transaction volume becomes excessive. Relevant CAAPA Study Guide topics include Agent Configuration, Monitoring Levels, Transaction Snapshots, Call Graph Collection, Exit Calls, and Development-Mode Performance Safeguards.

45. Frage
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