Cisco 500-420 Exam Fragen - 500-420 Pruefungssimulationen

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Cisco 500-420 Exam Syllabus Topics:

Section	Objectives
Topic 1: AppDynamics Architecture	- Controller and agents 1. Agent types and deployment models 2. Data collection and reporting flow
Topic 2: AppDynamics Fundamentals	- APM concepts and terminology 1. Application performance monitoring basics 2. Transaction flow and business application visibility
Topic 3: Dashboards and Reporting	- Performance dashboards 1. Custom dashboards creation 2. Real-time metrics visualization
Topic 4: Monitoring and Instrumentation	- Application instrumentation 1. Automatic and manual instrumentation 2. Business transaction detection - Infrastructure monitoring 1. Server and database visibility 2. Resource utilization tracking
Topic 5: Alerting and Business Performance	- Alert configuration 1. Health rules and thresholds 2. Notification policies - Business transaction performance 1. End-to-end transaction monitoring
Topic 6: Diagnostics and Troubleshooting	- Root cause analysis 1. Slow transaction diagnosis 2. Error and exception tracing - Performance bottleneck identification 1. Database and code-level analysis

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Cisco AppDynamics Associate Performance Analyst 500-420 Prüfungsfragen mit Lösungen (Q25-Q30):

25. Frage
Which two health rules are provided out-of-the-box for proactive monitoring? (Choose two.)

A. Application Transaction rate is much lower than normal
B. Node Web Container Threads is much higher than normal
C. Business Transaction error rate is much higher than normal
D. Business Transaction thread stalls are much higher than normal
E. Business Transaction response time is much higher than normal

Antwort: C,E

Begründung:
AppDynamics provides out-of-the-box health rules that proactively identify abnormal Business Transaction response time and Business Transaction error rate.
The response-time health rule evaluates whether a Business Transaction's current average response time has risen significantly above its established baseline. This enables AppDynamics to detect performance degradation relative to normal behavior rather than relying exclusively on a fixed threshold that may not suit every transaction.
The error-rate health rule similarly identifies when the number or percentage of transaction errors is substantially higher than expected. This provides early warning of application failures, exceptions, unsuccessful requests, or downstream dependency problems before they affect a larger portion of users.
Web-container thread utilization, thread stalls, and transaction-rate changes can also be monitored by creating or configuring health rules, but the listed formulations are not the two standard proactive Business Transaction health rules represented here. AppDynamics health rules can generate warning or critical violations and then invoke policies for notifications, diagnostics, remediation, or external-system integration.
Relevant CAAPA Study Guide topics include Default Health Rules, Business Transaction Performance, Dynamic Baselines, Response-Time Monitoring, Error-Rate Monitoring, Health Rule Violations, and Policy Actions.

26. Frage
When using the REST interface, where would a Performance Analyst go to see all captured endpoints by service?

A. Access the MySQL database, locate all endpoints in an application, drill down to the tiers and transactions, and select the REST feature enabled by the Service Endpoint.
B. Navigate to the Applications browser, drill down to the requested endpoint, select the available dashboard and metric indicators, and then select the desired metric.
C. Navigate to the Metric Browser, locate a specific metric, copy its REST URL, and use a wildcard query to retrieve metrics for the other Service Endpoints.
D. Navigate to the Metric Browser, open the Consumed Endpoints location, and drill down into a specific endpoint to identify its services.

Antwort: C

Begründung:
The Metric Browser provides the authoritative metric hierarchy and can generate the REST URL corresponding to a selected Service Endpoint metric. A Performance Analyst first navigates to a representative Service Endpoint and metric, then copies the generated REST URL. The metric path in that URL can be modified with supported wildcard expressions to return matching metrics for all captured Service Endpoints or services within the application.
This method avoids manually constructing an unfamiliar metric path and ensures that the application identifier, metric hierarchy, time-range parameters, and REST endpoint syntax are correct. Wildcards allow the analyst to query multiple Service Endpoint names, tiers, or metric branches in one request.
Direct access to the Controller's underlying database is unsupported and bypasses the Controller API model.
The Applications browser is useful for interactive analysis but does not itself provide the most direct REST- query construction workflow. "Consumed Endpoints" is not the required location for enumerating all Service Endpoint metrics through the REST interface.
Relevant CAAPA Study Guide topics include Metric Browser, Service Endpoint Metrics, Metric Data REST API, Metric Paths, Wildcard Queries, and REST URL Generation.

27. Frage
Which option is a prerequisite for installing the AppDynamics Database Agent?

A. The data architect has reviewed the most frequently used primary keys.
B. The TCP queue's tcp_max_syn_backlog is sized correctly.
C. The database administrator dropped system table keys.
D. The database host is reachable from the agent host.

Antwort: D

Begründung:
The database host must be reachable from the Database Agent host. The AppDynamics Database Agent normally runs as a standalone process and connects remotely to monitored database instances. Before installation and configuration, the agent host therefore requires network connectivity to each target database over the appropriate database listener port.
This prerequisite includes successful hostname or IP resolution, routing, firewall access, and permission for the agent host to establish a TCP connection to the database service. The Database Agent also requires valid monitoring credentials with the database-specific permissions needed to collect performance statistics, sessions, waits, queries, and other diagnostic data.
Reviewing frequently used primary keys is a database-design activity and is unrelated to agent installation.
Adjusting tcp_max_syn_backlog is an operating-system network-tuning task, not a standard Database Agent prerequisite. Dropping system-table keys would be unnecessary and potentially damaging; AppDynamics monitoring does not require destructive changes to database system objects.
Relevant CAAPA Study Guide topics include Database Visibility Architecture, Database Agent Deployment, Network Connectivity Requirements, Database Collector Configuration, Listener Ports, and Monitoring User Permissions.

28. Frage
Which two Key Performance Indicators (KPIs) accurately provide insight into server-level resource consumption? (Choose two.)

A. Memory Used%
B. Average Response Time
C. Application Restarts
D. CPU %Busy
E. Calls per Minute
F. Availability

Antwort: A,D

Begründung:
Memory Used% and CPU %Busy are the two KPIs that directly measure server-level resource consumption.
Memory Used% represents the proportion of physical memory currently consumed on the monitored server.
A sustained high value can indicate memory pressure, excessive process allocation, insufficient capacity, or conditions that may lead to paging and degraded application performance.
CPU %Busy measures the percentage of processor capacity actively being used. It is a primary indicator of compute-resource utilization and helps identify CPU saturation, processing bottlenecks, or insufficient server capacity. Persistent high CPU utilization may correlate with increased response time, transaction queuing, and reduced throughput.
The remaining options describe availability, application behavior, or transaction performance rather than direct infrastructure-resource consumption. Calls per Minute measures workload volume, Average Response Time measures transaction latency, Availability indicates whether a system or service is reachable, and Application Restarts records lifecycle events.
Relevant CAAPA Study Guide topics include Server Visibility, Infrastructure Monitoring, Hardware Resource Metrics, CPU Utilization, Memory Utilization, and Correlating Server Health with Application Performance.

29. Frage

Refer to the exhibit. When looking at the Transaction Score for a specific transaction, how are errors in the transaction identified?

A. Set the time range and drill down into the snapshots in the Error tab.
B. Set the time range and examine the Slow Response Times tab.
C. Set the time range and drill down into the snapshots in the Events tab.
D. Set the time range and examine the dashboard for errors.

Antwort: A

Begründung:
Errors in a transaction are identified by examining the snapshots that capture the problematic transactions. By setting the appropriate time range, a Performance Analyst can drill down into the snapshots within the Error tab to identify and analyze errors. These snapshots provide detailed diagnostic information, such as stack traces, slow SQL queries, and error logs, which are vital for pinpointing the root cause of transaction errors.
References:
AppDynamics documentation on Transaction Snapshots:

30. Frage
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