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Cisco 500-420 Exam Overview:

Certification Vendor:Cisco
Exam Name:Cisco AppDynamics Associate Performance Analyst (CAAPA)
Exam Number:500-420
Exam Price:USD 300
Passing Score:70-80%
Exam Duration:90 minutes
Real Exam Qty:55-65
Certificate Validity Period:3 years
Available Languages:Japanese, English
Exam Format:Drag-and-drop, Multiple-choice, Scenario-based
Recommended Training:Cisco AppDynamics Associate Training
AppDynamics Official Learning Resources
Exam Registration:Cisco Exam Registration
Pearson VUE
Sample Questions:Cisco 500-420 Sample Questions
Exam Way:Online proctored or onsite at authorized testing centers
Pre Condition:No formal prerequisites; recommended 3-6 months of hands-on experience with AppDynamics
Official Syllabus URL:https://www.cisco.com/site/us/en/learn/training-certifications/exams/caapa.html

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500-420試験勉強過去問 & 500-420受験記

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Cisco 500-420 認定試験の出題範囲：

トピック出題範囲
トピック 1
  • Troubleshooting: This topic assesses the expertise of Cisco administrators, architects, and consultants in using dashboards, following troubleshooting procedures, capturing snapshots, and evaluating server performance. Candidate aspiring to become the Cisco AppDynamics Associate Performance Analyst must demonstrate competence in identifying slow, error, and stalled business transactions.
トピック 2
  • Health Rules, Dashboards, and Snapshots: This topic tests the 500-420 exam candidate's competence in creating and managing health rules, dashboards, and snapshots. It includes monitoring health events, identifying issues through dashboards, and analyzing snapshots. The exam measures how well Cisco administrators and systems engineers can maintain application health and respond to potential issues, ensuring continuous system performance.
トピック 3
  • Collectors, Information Points, and Service Endpoints: Candidates must demonstrate their ability to manage transaction splits, configure asynchronous transactions, and analyze endpoint metrics. Targeting aspiring Cisco systems implementers and architects, this section emphasizes the importance of data collection and analysis in maintaining application performance.
トピック 4
  • Agents and Application Performance: This 500-420 exam topic examines the ability to effectively manage AppDynamics agents, monitor application performance, and troubleshoot related issues. It covers configuring alerts, identifying performance metrics, and generating reports. Cisco administrators, architects, and consultants must demonstrate their skills in maintaining agent functionality and analyzing application performance, ensuring optimal system operation.
トピック 5
  • Business Transactions: This section evaluates the ability to manage and optimize business transaction configurations within Cisco AppDynamics. It involves creating transaction scopes, analyzing metrics, and managing detection logic. For Cisco architects and consultants, proficiency in this area is essential for ensuring that business transactions are accurately tracked and performance is optimized across the application.

Cisco AppDynamics Associate Performance Analyst 認定 500-420 試験問題 (Q77-Q82):

質問 # 77
An online order portal for a restaurant has a "menu" transaction with different request types that must be monitored as separate transactions, such as "menu.salads" and "menu.entree." A Performance Analyst wants to create one rule that separates the transactions instead of creating an individual rule for each request type.
Which option should be enabled on a Custom Match rule?

正解：A

解説：
The Performance Analyst should enable Split Transaction using request data. This capability allows a single Custom Match rule to dynamically divide one base transaction into multiple business transactions according to values contained in the incoming HTTP request. For example, the rule can identify the base transaction as menu and append a request-derived value such as salads or entree, producing distinct transactions named menu.salads and menu.entree.
This approach avoids maintaining separate match rules for every menu category and scales automatically as additional request values are introduced.
An HTTP Request Data Collector captures request attributes for visibility within transaction snapshots but does not itself split or rename business transactions. A Method Invocation Data Collector captures method parameters, return values, or invoked-object data and is also unrelated to transaction splitting. Split Transaction using JSON is appropriate only when the required discriminator must specifically be extracted from a JSON payload.
Relevant CAAPA topics include Business Transaction Detection, Custom Match Rules, Transaction Naming, Request-Based Splitting, and Data Collectors.


質問 # 78
With what frequency are widgets updated during a war room scenario?

正解：A

解説：
During a war room scenario, which is a real-time troubleshooting session, widgets in AppDynamics dashboards update in near real-time. This allows teams to observe the immediate impact of changes and identify issues as they occur.
References:
AppDynamics documentation on War Rooms:


質問 # 79
When instrumenting and configuring Transaction Detection Rules, when should Scope be used?

正解：B

解説：
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.


質問 # 80
After reviewing a problem that caused an outage, a Performance Analyst wants to create a single health rule that evaluates multiple conditions. Which two options are valid condition-matching values? (Choose two.)

正解：A、D

解説：
AppDynamics health-rule criteria provide two supported methods for evaluating multiple conditions: All of the following conditions are met and Any of the following conditions are met.
Selecting All applies logical AND behavior. Every configured condition must evaluate as true during the health rule's evaluation period before AppDynamics generates the warning or critical violation. For the outage scenario, this is the appropriate selection when the alert must occur only when several symptoms- such as elevated response time, increased errors, and high CPU utilization-happen together.
Selecting Any applies logical OR behavior. AppDynamics creates the violation when at least one configured condition becomes true. This is useful when several independent symptoms can indicate the same operational problem.
Although "And" and "Or" describe the underlying logical concepts, they are not the named values presented for multi-condition health-rule evaluation in this context. The interface uses All and Any.
Relevant CAAPA Study Guide topics include Health Rule Conditions, Warning and Critical Criteria, Condition Evaluation Logic, Evaluation Time, Violation Wait Time, and Policy Triggering.


質問 # 81
Which tab within the Application Dashboard displays performance trends for each of Snapshots, Average Response Time, and Events within one central view?

正解：E

解説：
The Transaction Score tab within the Application Dashboard is designed to display performance trends across various metrics including Snapshots, Average Response Time, and Events. It gives a comprehensive view of the transaction performance, providing a score that reflects the health and reliability of transactions over time.
References:
AppDynamics documentation on Application Dashboard:


質問 # 82
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ちなみに、ShikenPASS 500-420の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1kCvVOi0PuN8ueMy0xiZs-wqkjeCWZ57Z