AppDynamics CAAA study materials
AppDynamics CAAA study resources

AppDynamics CAAA flashcards

AppDynamics CAAA · Build recall with a focused review session.

32 cards. Read the term and the definition here. The deck at the top of this page is optional.

Business Transaction
A named unit of monitoring defined by entry-point match rules; it groups similar requests so response time, errors, and call graphs are measured together.
Baseline deviation
The number of standard deviations a live metric is from its learned baseline; alerts fire when deviation crosses a configured threshold.
Automatic baseline
A dynamic baseline that learns normal behavior over time and adapts to recurring patterns such as daily or weekly traffic cycles.
Call graph
A tree of the exit calls made while processing a transaction, showing downstream tiers and backends with their time and error contribution.
Transaction snapshot
A captured record of one slow or errored transaction, including its call graph, timing, and request data for diagnosis.
Node health states
A node is healthy, alerting, or unmonitored based on agent reporting and health rule evaluation; stopped nodes retain historical metrics.
Percentile response time
The response time below which a given percentage of transactions fall; the 95th percentile captures tail latency that averages hide.
Exit call
An outbound call from a monitored tier to a backend such as a database, HTTP service, or message queue; it appears in call graphs.
Attack detection rule
A pattern or signature matched against request data to identify injection, traversal, or scripting attacks on monitored transactions.
Threat score
An aggregate severity value computed from correlated attacks, weighing rule severity, confidence, and the business risk of affected transactions.
Data exfiltration detection
Detection that flags transactions sending unusually large or unusually destined outbound data compared with learned baselines.
Security policy scope
The set of applications, BTs, IP ranges, or environments to which a security policy applies; scoping reduces false positives.
Blocking mode
A security mode in which the agent actively denies matching requests; monitoring-only mode records and scores attacks without blocking.
Sensitive data detection
Pattern matching for PII such as credit card or social security numbers in request and response payloads, separate from injection rules.
ABAP agent
An SAP agent that instruments SAP GUI, RFC, and web entry points and reports dialog response time, work process use, and dumps.
HANA monitoring
Collection of SAP HANA database metrics such as CPU, memory, disk, and expensive SQL through the HANA SQL interface.
SAP T-code naming
Using SAP transaction codes and RFC destinations in match rules to map SAP workloads to meaningful business transactions.
SAP short dump event
An ABAP runtime error surfaced as an event in the controller, distinct from a business transaction error, indicating program failure.
SAP agent connectivity
The link between SAP agents and the controller; a lost connection creates a metric gap and triggers an agent-health alert.
Browser RUM
Real-user monitoring via a JavaScript agent that measures page render, AJAX, JavaScript errors, and end-user response time by segment.
Synthetic monitoring
Scheduled scripted browser or API checks run from selected locations to measure availability and response time without real users.
Apdex formula
Apdex = (satisfied + tolerating/2) / total, where satisfied is at or below target T and tolerating is between T and 4T.
Page waterfall
A breakdown of page load into DNS, connect, TLS, download, and render phases, separating front-end from back-end time.
JavaScript agent injection
Insertion of the EUM beacon script into monitored pages, which sends page and AJAX metrics to the controller.
EUM to BT correlation
Linking a browser page or AJAX request to the back-end business transaction snapshot so user slowness maps to server calls.
Synthetic script step
One action in a recorded browser journey, such as click or type; failures are reported per step with screenshots and timing.
Machine agent
A host-level agent collecting CPU, memory, disk, and network metrics, extensible with extensions for servers and middleware.
Cluster agent
An agent deployed to a Kubernetes cluster that collects pod, container, and node metrics and maps them to monitored applications.
ADQL
Analytics Query Language used to search transaction, log, and metric events; only fields defined in the schema are queryable.
Data collector
A configuration that extracts business data from request or method payloads and attaches it to transactions for analytics.
Business journey
A funnel built from analytics events that measures conversion and drop-off across defined stages of a user or order flow.
Infrastructure health rule
A rule that evaluates host, container, or analytics metrics and triggers actions such as email, SMS, or webhook when violated.