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| Section | Weight | Objectives |
|---|---|---|
| Health Rules, Dashboards, and Snapshots | 20% | - Locate and analyze snapshots - Create and interpret dashboards - Create and configure health rules |
| Troubleshooting | 15% | - Capture snapshots and troubleshoot health rule violations - Identify slow performance and errors from backend systems - Utilize dashboards to identify performance issues |
| Agents and Application Performance | 20% | - Monitor performance trends - Configure alerts and identify system performance metrics - Troubleshoot performance problems - Verify agent functionality, performance, and connectivity - Determine application performance impact and scheduled reports |
| Collectors, Information Points, and Service Endpoints | 25% | - Configure information points and service endpoints - Analyze service endpoint metrics - Define and configure data collectors |
| Business Transactions | 20% | - Create and configure business transaction settings - Determine transaction scope and rule assignment - Manage discovery and analyze transaction metrics |
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NEW QUESTION # 32
Developers and operations personnel complain that the Controller tracks many irrelevant Java classes and methods. How does a Performance Analyst exclude this unhelpful information?
Answer: D
Explanation:
The Performance Analyst should navigate to Configuration > Instrumentation > Call Graph Settings and configure package exclusions. Call Graph Settings control which Java packages, classes, and methods the Application Agent includes when constructing call graphs for transaction snapshots.
Excluding irrelevant package prefixes removes low-value framework, utility, generated-code, or third-party method detail from captured call graphs. This reduces diagnostic noise, makes transaction snapshots easier for developers to interpret, and can lower instrumentation and data-collection overhead. Exclusions should be applied carefully so that application-owned packages and methods required for root-cause analysis remain visible.
The controller-info.xml file contains Java Agent registration and Controller connectivity settings, such as the Controller address, account information, application, tier, and node identity. It is not the appropriate location for call-graph package exclusions. Baselines evaluate normal metric behavior and have no effect on instrumented classes or methods. The mbeans-server.xml file concerns JMX or MBean-related monitoring rather than Java call-graph filtering.
Relevant CAAPA Study Guide topics include Instrumentation Configuration, Call Graph Settings, Package Exclusions, Java Agent Overhead Management, Transaction Snapshots, and Code-Level Visibility.
NEW QUESTION # 33
When instrumenting and configuring Transaction Detection Rules, when should Scope be used?
Answer: D
Explanation:
A Scope is used to apply Transaction Detection Rules selectively to one or more tiers that perform the same or a related application function. Scoping allows a Performance Analyst to avoid applying a custom match rule or exclude rule across the entire application when the relevant entry point, framework, class, method, or request pattern exists only within particular tiers.
For example, several web-service tiers may use the same transaction naming convention or custom entry- point logic. The analyst can group those tiers within a scope and associate the transaction detection rule with that scope. This provides consistent detection behavior while preventing the rule from affecting unrelated application tiers.
Scopes are not primarily defined for individual nodes because nodes inherit transaction detection behavior from their tier-level configuration. They are also not used for backends, which are identified through exit- point and backend detection configuration. Transaction Detection Rule scopes remain within the context of a single monitored application and are not used to distribute one rule across multiple applications.
Relevant CAAPA Study Guide topics include Transaction Detection, Rule Scopes, Tier-Level Instrumentation, Custom Match Rules, Exclude Rules, Entry-Point Detection, and Application Agent Configuration.
NEW QUESTION # 34
On a snapshot flow map, which three metrics indicate why the snapshot might have been taken? (Choose three.)
Answer: B,C,E
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 # 35
Which type of Data Collector will capture code data such as method arguments, variables, and return values?
Answer: D
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 # 36
A Performance Analyst is reviewing Business Transactions with an application team. The application team wants to increase the Application Business Transaction limit because it needs visibility into all the different transactions. What should the Performance Analyst do?
Answer: C
Explanation:
The Performance Analyst should first investigate the Business Transactions exceeding the configured limit and determine why so many unique transactions are being registered. Business Transaction limits protect the Controller from excessive metric creation, unnecessary cardinality, and degraded monitoring performance.
A high transaction count is often caused by overly granular transaction naming, dynamic URL segments, request parameters, identifiers, or automatic discovery rules that create a separate Business Transaction for each variation. The analyst should review All Other Traffic, transaction detection rules, naming rules, and the entry points generating excessive registrations. Low-value traffic such as health checks, static resources, or framework-generated requests can be excluded, while related requests can be grouped or split more deliberately through Custom Match Rules.
Increasing the limit without correcting the underlying detection behavior may only postpone the problem and increase Controller resource consumption. The limit should be raised only after the transaction model has been validated and a genuine business requirement remains.
Relevant CAAPA Study Guide topics include Business Transaction Limits, All Other Traffic, Transaction Detection Rules, Custom Match Rules, Exclude Rules, Transaction Naming, and Metric Cardinality Management.
NEW QUESTION # 37
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