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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Cisco AppDynamics Associate Performance Analyst |
| Exam Number: | 500-420 |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Related Certifications: | Cisco AppDynamics Professional Cisco AppDynamics Administrator |
| Exam Format: | Multiple choice, Scenario-based questions |
| Recommended Training: | Cisco AppDynamics Training (Official) |
| Exam Registration: | Cisco Certification Registration |
| Sample Questions: | Cisco 500-420 Sample Questions |
| Exam Way: | Online proctored or authorized test center (availability depends on region) |
| Pre Condition: | Basic understanding of application performance monitoring and enterprise application architecture is recommended. |
| Official Syllabus URL: | https://www.cisco.com/c/en/us/training-events/training-certifications/exams.html |
The 500-420 web-based practice test can accessed online. It means the exam candidates can access it from the browsers like Firefox, Microsoft Edge, Google Chrome, and Safari. The user don't need to install or download any excessive plugins to take the Cisco AppDynamics Associate Performance Analyst (500-420) practice test. Mac, Windows, iOS, Android, and Linux support it. The third and last format is the desktop practice test software. The Cisco AppDynamics Associate Performance Analyst (500-420) desktop practice test format can be used on Windows computers.
Cisco 500-420 Exam is a computer-based test that consists of multiple-choice questions. 500-420 exam is administered by Pearson VUE, a leading provider of computer-based testing services. Candidates can register for the exam online and can take the exam at any Pearson VUE testing center worldwide.
NEW QUESTION # 114
A Performance Analyst is evaluating the performance of a shopping application from a customer perspective.
Which three Key Performance Indicators (KPIs) are quantifiable measurements used to determine user experience? (Choose three.)
Answer: A,D,E
Explanation:
The three KPIs that most directly quantify customer experience are Business Transactions 94th Percentile Response Time, End User Response Time, and Business Transactions Errors per Minute.
The 94th percentile response time indicates how long the majority of Business Transaction executions take while reducing the masking effect of averages. It reveals whether a meaningful portion of customers is experiencing slow checkout, search, cart, or order-processing operations.
End User Response Time measures the customer-observed time required for a browser or mobile interaction to complete. It includes client-side processing, network latency, content loading, and server response, making it the most direct representation of perceived application performance.
Business Transactions Errors per Minute quantifies failed application operations. A rising error rate can represent unsuccessful logins, payment failures, rejected orders, or other outcomes that directly impair the customer journey.
Network incoming errors, Machine Agent availability, and CPU utilization are valuable infrastructure indicators, but they measure supporting-system health rather than customer experience itself.
Relevant CAAPA Study Guide topics include End User Monitoring, Business Transaction Performance, Percentile Response Time, Error Monitoring, Customer Experience KPIs, and Application Performance Correlation.
NEW QUESTION # 115
On a snapshot flow map, which three metrics indicate why the snapshot might have been taken? (Choose three.)
Answer: A,B,D
Explanation:
A snapshot flow map presents execution-specific timing information that helps explain why AppDynamics captured that particular transaction instance. The relevant metrics are Thread Blocking Time, Execution Time, and Asynchronous Activity Processing Time.
Execution Time shows the elapsed processing time for the transaction segment and helps determine whether the request exceeded slow or very slow transaction thresholds. Thread Blocking Time identifies time during which the executing thread was blocked or waiting, potentially because of lock contention, synchronization, resource availability, or another thread-related delay. A substantial blocking value can explain why an otherwise ordinary code path produced a slow snapshot.
Asynchronous Activity Processing Time represents time consumed by asynchronous work associated with the transaction, such as executor tasks, callbacks, or background processing correlated with the originating request. Excessive asynchronous processing can materially increase end-to-end completion time and trigger snapshot collection.
Tier Response Time and Node Response Time are aggregated performance metrics across multiple transactions. They provide useful operational context but do not directly describe the timing characteristics of one captured transaction execution.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Snapshot Flow Maps, Execution Time, Thread Blocking, Asynchronous Transaction Tracking, and Slow Transaction Diagnostics.
NEW QUESTION # 116
Developers and operations personnel complain the Controller tracks many irrelevant Java classes and methods. How does a Performance Analyst exclude this unhelpful information?
Answer: C
Explanation:
To streamline the monitoring process and enhance the relevance of collected data, AppDynamics allows Performance Analysts to exclude certain Java classes and methods from instrumentation. This is done through the " Configuration > Instrumentation > Call Graph Settings " menu, where irrelevant packages and classes can be specified for exclusion. This approach prevents the AppDynamics agent from tracking unnecessary or irrelevant methods, thus reducing overhead and focusing on the most critical aspects of application performance.
References:
AppDynamics documentation on Call Graph Settings: This section details how to configure call graph settings, including the exclusion of specific classes and methods from instrumentation, to optimize performance monitoring.
NEW QUESTION # 117
By default, how often do the violations displayed on the Health Rules Violations page update?
Answer: D
Explanation:
By default, an active health rule violation displayed on the Health Rules Violations page is updated at 30- minute intervals after the initial violation event is triggered. AppDynamics first evaluates the health-rule condition against the configured critical or warning criteria. When the condition remains true for the configured evaluation and wait period, the Controller opens a health rule violation event.
While that violation remains active, AppDynamics periodically updates its displayed status and associated event information. The default continuation-update interval is 30 minutes. The violation is subsequently closed when the monitored metric no longer satisfies the violation criteria for the required duration.
The wait time after violation determines how long a condition must persist before AppDynamics opens the violation; it does not define the ongoing update frequency. The page is also not limited to updating only when a new violation starts, nor must an existing violation close before updated information can be recorded.
Relevant CAAPA Study Guide topics include Health Rule Evaluation, Warning and Critical Conditions, Wait Time After Violation, Health Rule Violation Events, Violation Lifecycle, and Controller Event Updates.
NEW QUESTION # 118
A Performance Analyst needs to define a special database Key Performance Indicator (KPI). Which menu options should be used?
Answer: C
Explanation:
A database-specific KPI is created through Databases > Configuration > Custom Metrics. This area allows the Performance Analyst to define additional database measurements that are not included among the standard metrics collected by Database Visibility. A custom metric is typically based on a database query that returns a numeric value, such as queue depth, replication lag, application-specific record counts, storage utilization, or another operational indicator important to the organization.
After configuration, the Database Agent executes the metric query according to the defined collection interval and reports the resulting value to the Controller. The KPI can then be reviewed with other database metrics and incorporated into dashboards, health rules, baselines, and alerting policies.
The Metric Browser is used to inspect and analyze metrics already being collected; it is not the primary location for defining a new database custom metric. Application Instrumentation configures Application Agent transaction detection and code-level monitoring, while Slow Transaction Thresholds controls Business Transaction performance classification rather than database KPI creation.
Relevant CAAPA Study Guide topics include Database Visibility, Database Agent Configuration, Custom Database Metrics, Metric Queries, KPI Monitoring, Health Rules, and Metric Browser Analysis.
NEW QUESTION # 119
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