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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Business Transactions | 25% | - Transaction detection and configuration - Metrics analysis and baselining - Slow, error, and stalled transaction identification |
| Topic 2: Information Points, Collectors, and Service Endpoints | 20% | - Service endpoint monitoring - Database and custom collectors - Configuring information points |
| Topic 3: Health Rules, Alerts, and Dashboards | 20% | - Creating and managing health rules - Custom dashboards and reporting - Alert configuration and actions |
| Topic 4: Flow Maps and Application Architecture | 20% | - Interpreting flow maps - Environment and topology overview - Component dependency visualization |
| Topic 5: Troubleshooting and Performance Analysis | 15% | - Identifying bottlenecks and root causes - Remediation and optimization steps - Analyzing call graphs and snapshots |
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NEW QUESTION # 96
Which type of Data Collector will capture code data such as method arguments, variables, and return values?
Answer: C
Explanation:
The "Method Invocation Data Collector" is specifically designed to capture code-level data such as method arguments, variables, and return values. This type of data collector enables deep visibility into the execution of methods within transactions, providing valuable insights into the application's behavior and performance. This detailed level of monitoring is essential for diagnosing complex issues and understanding the inner workings of business transactions.
References:
AppDynamics documentation on Data Collectors: Details the types of data collectors available, including Method Invocation Data Collectors, and how they can be used to capture detailed code-level data.
NEW QUESTION # 97
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: A
Explanation:
Excluding the Business Transaction from the Business Transaction Dashboard removes it from the displayed transaction list even while traffic continues to execute. Exclusion is specifically intended to suppress unwanted or low-value transactions from normal Business Transaction visibility and prevent them from consuming monitored transaction capacity.
Deleting the Business Transaction alone would not reliably keep it absent. Because the transaction has continuous load, the Application Agent could rediscover and register it again, causing it to reappear. Enabling Business Transaction Lock Down prevents newly discovered transactions from being registered, but it does not automatically remove Business Transactions that were already registered before lockdown was enabled.
Deleting a Custom Match Rule also does not directly remove the existing registered Business Transaction.
The transaction might remain registered, or automatic transaction discovery could continue detecting the same entry point.
Therefore, the action that directly explains why the continuously active transaction stopped appearing is that it was excluded from the Business Transaction Dashboard.
Relevant CAAPA topics include Business Transaction Exclusion, Transaction Registration, Automatic Rediscovery, Business Transaction Lock Down, Custom Match Rules, and Dashboard Visibility.
NEW QUESTION # 98
What AppDynamics Alert Action does a Performance Analyst need to select to post an AppDynamics event to a third-party collaboration tool?
Answer: C
Explanation:
To post an AppDynamics event to a third-party collaboration tool, the Performance Analyst needs to select the
"Make an HTTP Request" alert action. This action allows AppDynamics to send an HTTP request to a specified URL, which can be the endpoint provided by the third-party tool's API. This integration capability enables the automatic posting of events, alerts, and notifications from AppDynamics to collaboration tools, enhancing communication and response times to performance issues.
References:
AppDynamics documentation on Alert and Respond: Details the various alert actions available within AppDynamics, including the ability to make HTTP requests to integrate with external systems.
NEW QUESTION # 99
Which two health rules are provided out-of-the-box for proactive monitoring? (Choose two.)
Answer: B,C
Explanation:
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.
NEW QUESTION # 100
A Performance Analyst has an urgent need to gather more data for an ongoing issue. What should the Performance Analyst do?
Answer: C
Explanation:
If a Performance Analyst has an urgent need to gather more data for an ongoing issue, they should enable Development Level Monitoring. This monitoring level increases the amount of detailed diagnostic data collected by the agent, such as snapshots and transaction traces, which can provide deeper insights into the issue at hand.
References:
AppDynamics documentation on Monitoring Levels: Describes the different levels of monitoring available, including Development Level Monitoring and the types of data each level collects.
NEW QUESTION # 101
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