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| Section | Objectives |
|---|---|
| AppDynamics Architecture | - Controller and agents
|
| Diagnostics and Troubleshooting | - Performance bottleneck identification
|
| Alerting and Business Performance | - Business transaction performance
|
| Monitoring and Instrumentation | - Application instrumentation
|
| Dashboards and Reporting | - Performance dashboards
|
| AppDynamics Fundamentals | - APM concepts and terminology
|
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NEW QUESTION # 102
A development team responsible for the front-end shopping application has asked to receive an email every time the Java container thread count exceeds 25. Which alert and response capabilities settings will provide the email?
Answer: A
Explanation:
In AppDynamics, you can create health rules to monitor various metrics and set up actions based on the thresholds defined for these metrics. For monitoring Java container thread counts, you can set a health rule based on Node Health - specifically on thread pools - to trigger when the thread count exceeds a specific value. The Notification Action can then be configured to send an email to the development team whenever this threshold is breached.
References:
AppDynamics documentation on Health Rules:
https://docs.appdynamics.com/21.6/en/infrastructure-visibility/health-rules
NEW QUESTION # 103
Within the Application Dashboard, which two methods could a Performance Analyst use to quickly demonstrate that a slow backend is contributing to an application slowdown? (Choose two.)
Answer: A,C
Explanation:
The Application Flow - Grid View and Application Flow Map provide the fastest dashboard-level methods for demonstrating that a backend dependency is contributing to degraded application performance.
In Grid View, the analyst can locate the backend and review dependency-specific indicators such as average response time, calls per minute, errors, and calls made by upstream tiers. Comparing these values across relevant time ranges makes it straightforward to show that backend latency rose at the same time as application response time.
The Application Flow Map provides the same dependency context visually. Selecting the backend exposes its performance metrics and relationship to the calling tier, allowing the analyst to compare current behavior with an earlier timeframe or baseline and demonstrate the backend's contribution to end-to-end latency.
Top Business Transactions focuses primarily on transaction-level performance rather than direct backend comparison. Transaction Snapshots provide detailed evidence for individual executions, but they are less suitable for a rapid dashboard-level comparison across timeframes.
Relevant CAAPA topics include Application Dashboard, Flow Map Analysis, Grid View, Backend Performance, Dependency Response Time, and Time-Range Comparison.
NEW QUESTION # 104
In which two cases does AppDynamics start transaction snapshots? (Choose two.)
Answer: C,D
Explanation:
AppDynamics initiates transaction snapshot collection when a Business Transaction is classified as slow, very slow, stalled, or erroneous, subject to the configured snapshot thresholds and agent collection limits. These snapshots preserve detailed diagnostic context, including call graphs, exit calls, errors, and participating tiers, allowing analysts to isolate the code path or downstream dependency responsible for degraded user experience.
AppDynamics also captures snapshots through periodic snapshot collection. Periodic collection samples transactions at configured intervals even when their performance is normal. This provides representative diagnostic evidence and enables comparison between healthy and problematic executions without requiring every transaction to violate a performance threshold.
A sudden increase in Calls per Minute does not, by itself, constitute a standard snapshot trigger. Workload surges may influence application performance, but snapshots begin only when an applicable collection mechanism or diagnostic condition is satisfied. An "asynchronous session" is also not a standard snapshot- start condition; asynchronous processing can be included within a correlated snapshot after collection has already been initiated.
Relevant CAAPA Study Guide topics include Transaction Snapshots, User Experience Classification, Slow and Error Transactions, Periodic Snapshot Collection, Call Graphs, and Snapshot Collection Thresholds.
NEW QUESTION # 105
A Performance Analyst needs to define a set of Key Performance Indicators (KPIs) from a group of select metrics. The required performance information resides within the Transaction Analytics data set. Which method will accomplish this task?
Answer: C
Explanation:
The Metric Explorer in AppDynamics allows Performance Analysts to define and visualize Key Performance Indicators (KPIs) from a selection of metrics. By accessing the Transaction Analytics data set, analysts can create custom dashboards that focus on the metrics they've determined to be critical KPIs for their application's performance.
References:
AppDynamics documentation on Metric Explorer:
NEW QUESTION # 106
Where would a Performance Analyst view detailed trend graphs representing application performance from the viewpoint of the end user in AppDynamics?
Answer: D
Explanation:
The Performance Analyst should use Browser Apps. This area contains Browser Real User Monitoring data and presents application performance from the actual end user's perspective. It provides detailed trend graphs for browser pages and AJAX requests, including metrics such as end-user response time, page load time, network time, server time, DOM processing time, resource-loading time, request volume, errors, and geographic or browser-related performance variations.
These measurements enable the analyst to determine whether a performance problem originates in the browser, network, content-delivery path, application server, or a downstream dependency. The graphs can also be filtered by time range, page, browser type, device, operating system, location, and other user-session dimensions.
Transaction Analytics is used for querying and analyzing transaction and business-event data. Remote Services focuses on backend dependencies and external service calls. Applications primarily provides server- side APM visibility into Business Transactions, tiers, nodes, and application flow.
Relevant CAAPA Study Guide topics include Browser Real User Monitoring, Browser Applications, End- User Response Time, Page and AJAX Performance, User Experience Analysis, and Client-Side Performance Trends.
NEW QUESTION # 107
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