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NEW QUESTION # 62
Which format is used to archive dashboard metadata?
Answer: D
Explanation:
AppDynamics dashboard metadata is archived in JSON format. JSON preserves the dashboard's structural and configuration information, including widget definitions, layout, metric references, display settings, data sources, labels, and other properties required to reconstruct the dashboard.
This format is appropriate because dashboard metadata is hierarchical configuration data rather than a flat report. A JSON archive can retain nested relationships among dashboard objects and can be exported, stored in source control, transferred between compatible Controller environments, or used as part of backup and migration procedures.
PDF is intended for rendering a visual report and does not preserve editable dashboard configuration. CSV and XLSX are tabular formats suitable for exporting metric or report data, but they cannot accurately represent the complete object structure and layout of a custom dashboard.
Therefore, when the objective is to archive the dashboard definition itself rather than merely capture its displayed output, JSON is the correct format.
Relevant CAAPA Study Guide topics include Custom Dashboards, Dashboard Import and Export, Metadata Archiving, JSON Configuration, Controller Migration, and Dashboard Backup Procedures.
NEW QUESTION # 63
Information Points can be used to do which two of the following? (Choose two.)
Answer: A,D
Explanation:
Comprehensive and Detailed Explanation From Cisco AppDynamics Associate Performance Analyst (CAAPA):
Information Points provide method-level performance monitoring for selected application classes and methods without requiring those methods to be defined as Business Transaction entry points. They generate metrics such as Average Response Time, Calls per Minute, and Errors per Minute for the configured method.
Because Information Point response-time metrics are reported to the Controller, a Performance Analyst can compare the method's current response time against a dynamic or configured baseline. This supports proactive detection of abnormal method performance.
Information Points also measure invocation frequency. Therefore, they can reveal changes in how often a method-such as a cache access method-is called. A sudden increase or decrease in Calls per Minute can indicate altered application behavior, cache inefficiency, reduced traffic, or a code-path change.
Information Points do not directly trigger a transaction snapshot whenever the configured method executes.
Snapshot collection is governed by Business Transaction monitoring, diagnostic sessions, and snapshot collection rules. Excluding a specific exception from error detection is handled through error-detection and ignored-exception configuration, not Information Points.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Metrics, Calls per Minute, Average Response Time, Dynamic Baselines, Health Rules, and Error Detection Configuration.
NEW QUESTION # 64
Which three things should a Performance Analyst verify to validate a Java Agent's configuration? (Choose three.)
Answer: B,C,E
Explanation:
To validate a Java Agent configuration, the Performance Analyst should inspect the startup script, controller- info.xml, and relevant environment variables.
The startup script must contain the correct -javaagent argument pointing to the Java Agent JAR. It may also define Java system properties for the Controller host, port, SSL setting, application name, tier name, node name, account credentials, and other agent parameters. Incorrect paths or conflicting -Dappdynamics.* values can prevent registration or cause the agent to report under the wrong entity.
The controller-info.xml file is the Java Agent's primary configuration file. The analyst should verify Controller connectivity settings, account details, access key, application identity, tier identity, node identity, and SSL configuration.
Environment variables must also be reviewed because containerized and automated deployments commonly provide AppDynamics settings through variables. These values may override or supplement file-based configuration and can explain unexpected registration behavior.
/etc/sysctl.conf contains operating-system kernel parameters and is not a Java Agent configuration source.
controller-info.yaml is not the standard Java Agent configuration file.
Relevant CAAPA topics include Java Agent Installation, Agent Registration, Controller Connectivity, controller-info.xml, Java System Properties, Environment Variables, and Application-Tier-Node Naming.
NEW QUESTION # 65
What are three effects of Development Level Monitoring? (Choose three.)
Answer: D,E,F
Explanation:
Development Level Monitoring is intended for controlled development or diagnostic environments where maximum transaction visibility is more important than minimizing agent overhead. In this mode, the agent captures full call graphs, providing method-level execution detail rather than the reduced or partial call-graph collection associated with normal production monitoring.
The agent also attempts to collect a transaction snapshot for every transaction. "Attempts" is the critical distinction: snapshot creation remains subject to agent safeguards, resource constraints, transaction behavior, and collection limits. Therefore, Development Level Monitoring does not provide an absolute guarantee that every transaction will produce a retained snapshot, making option F incorrect.
Development mode additionally collects more detailed exit-call information for calls to backend systems, improving analysis of downstream databases, services, and other remote dependencies.
The agent does not ignore dev-mode-suspend-cpm. This property is a protective calls-per-minute threshold that can suspend development-mode collection when transaction volume becomes excessive. Relevant CAAPA Study Guide topics include Agent Configuration, Monitoring Levels, Transaction Snapshots, Call Graph Collection, Exit Calls, and Development-Mode Performance Safeguards.
NEW QUESTION # 66
In which two cases does AppDynamics start transaction snapshots? (Choose two.)
Answer: A,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 # 67
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