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Appian ACD301 Exam Syllabus Topics:

Topic	Details
Topic 1	Platform Management: This section of the exam measures skills of Appian System Administrators and covers the ability to manage platform operations such as deploying applications across environments, troubleshooting platform-level issues, configuring environment settings, and understanding platform architecture. Candidates are also expected to know when to involve Appian Support and how to adjust admin console configurations to maintain stability and performance.
Topic 2	Application Design and Development: This section of the exam measures skills of Lead Appian Developers and covers the design and development of applications that meet user needs using Appian functionality. It includes designing for consistency, reusability, and collaboration across teams. Emphasis is placed on applying best practices for building multiple, scalable applications in complex environments.
Topic 3	Project and Resource Management: This section of the exam measures skills of Agile Project Leads and covers interpreting business requirements, recommending design options, and leading Agile teams through technical delivery. It also involves governance, and process standardization.
Topic 4	Proactively Design for Scalability and Performance: This section of the exam measures skills of Application Performance Engineers and covers building scalable applications and optimizing Appian components for performance. It includes planning load testing, diagnosing performance issues at the application level, and designing systems that can grow efficiently without sacrificing reliability.

 

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Appian Lead Developer Sample Questions (Q21-Q26):

NEW QUESTION # 21
You have an active development team (Team A) building enhancements for an application (App X) and are currently using the TEST environment for User Acceptance Testing (UAT).
A separate operations team (Team B) discovers a critical error in the Production instance of App X that they must remediate. However, Team B does not have a hotfix stream for which to accomplish this. The available environments are DEV, TEST, and PROD.
Which risk mitigation effort should both teams employ to ensure Team A's capital project is only minorly interrupted, and Team B's critical fix can be completed and deployed quickly to end users?

• A. Team B must address changes in the TEST environment. These changes can then be tested and deployed directly to PROD. Once the deployment is complete, Team B can then communicate their changes to Team A to ensure they are incorporated as part of the next release.
• B. Team A must analyze their current codebase in DEV to merge the hotfix changes into their latest enhancements. Team B is then required to wait for the hotfix to follow regular deployment protocols from DEV to the PROD environment.
• C. Team B must communicate to Team A which component will be addressed in the hotfix to avoid overlap of changes. If overlap exists, the component must be versioned to its PROD state before being remediated and deployed, and then versioned back to its latest development state. If overlap does not exist, the component may be remediated and deployed without any version changes.
• D. Team B must address the changes directly in PROD. As there is no hotfix stream, and DEV and TEST are being utilized for active development, it is best to avoid a conflict of components. Once Team A has completed their enhancements work, Team B can update DEV and TEST accordingly.

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:As an Appian Lead Developer, managing concurrent development and operations (hotfix) activities across limited environments (DEV, TEST, PROD) requires minimizing disruption to Team A's enhancements while ensuring Team B's critical fix reaches PROD quickly. The scenario highlights nohotfix stream, active UAT in TEST, and a critical PROD issue, necessitating a strategic approach. Let's evaluate each option:
* A. Team B must communicate to Team A which component will be addressed in the hotfix to avoid overlap of changes. If overlap exists, the component must be versioned to its PROD state before being remediated and deployed, and then versioned back to its latest development state. If overlap does not exist, the component may be remediated and deployed without any version changes:This is the best approach. It ensures collaboration between teams to prevent conflicts, leveraging Appian's version control (e.g., object versioning in Appian Designer). Team B identifies the critical component, checks for overlap with Team A's work, and uses versioning to isolate changes. If no overlap exists, the hotfix deploys directly; if overlap occurs, versioning preserves Team A's work, allowing the hotfix to deploy and then reverting the component for Team A's continuation. This minimizes interruption to Team A's UAT, enables rapid PROD deployment, and aligns with Appian's change management best practices.
* B. Team A must analyze their current codebase in DEV to merge the hotfix changes into their latest enhancements. Team B is then required to wait for the hotfix to follow regular deployment protocols from DEV to the PROD environment:This delays Team B's critical fix, as regular deployment (DEV # TEST # PROD) could take weeks, violating the need for "quick deployment to end users." It also risks introducing Team A's untested enhancements into the hotfix, potentially destabilizing PROD. Appian's documentation discourages mixing development and hotfix workflows, favoring isolated changes for urgent fixes, making this inefficient and risky.
* C. Team B must address changes in the TEST environment. These changes can then be tested and deployed directly to PROD. Once the deployment is complete, Team B can then communicate their changes to Team A to ensure they are incorporated as part of the next release:Using TEST for hotfix development disrupts Team A's UAT, as TEST is already in use for their enhancements. Direct deployment from TEST to PROD skips DEV validation, increasing risk, and doesn't address overlap with Team A's work. Appian's deployment guidelines emphasize separate streams (e.g., hotfix streams) to avoid such conflicts, making this disruptive and unsafe.
* D. Team B must address the changes directly in PROD. As there is no hotfix stream, and DEV and TEST are being utilized for active development, it is best to avoid a conflict of components. Once Team A has completed their enhancements work, Team B can update DEV and TEST accordingly:Making changes directly in PROD is highly discouraged in Appian due to lack of testing, version control, and rollback capabilities, risking further instability. This violates Appian's Production governance and security policies, and delays Team B's updates until Team A finishes, contradicting the need for a
"quick deployment." Appian's best practices mandate using lower environments for changes, ruling this out.
Conclusion: Team B communicating with Team A, versioning components if needed, and deploying the hotfix (A) is the risk mitigation effort. It ensures minimal interruption to Team A's work, rapid PROD deployment for Team B's fix, and leverages Appian's versioning for safe, controlled changes-aligning with Lead Developer standards for multi-team coordination.
References:
* Appian Documentation: "Managing Production Hotfixes" (Versioning and Change Management).
* Appian Lead Developer Certification: Application Management Module (Hotfix Strategies).
* Appian Best Practices: "Concurrent Development and Operations" (Minimizing Risk in Limited Environments).

 

NEW QUESTION # 22
The business database for a large, complex Appian application is to undergo a migration between database technologies, as well as interface and process changes. The project manager asks you to recommend a test strategy. Given the changes, which two items should be included in the test strategy?

• A. Penetration testing of the Appian platform
• B. Tests for each of the interfaces and process changes
• C. A regression test of all existing system functionality
• D. Internationalization testing of the Appian platform
• E. Tests that ensure users can still successfully log into the platform

Answer: B,C

Explanation:
Comprehensive and Detailed In-Depth Explanation:
As an Appian Lead Developer, recommending a test strategy for a large, complex application undergoing a database migration (e.g., from Oracle to PostgreSQL) and interface/process changes requires focusing on ensuring system stability, functionality, and the specific updates. The strategy must address risks tied to the scope-database technology shift, interface modifications, and process updates-while aligning with Appian's testing best practices. Let's evaluate each option:
A . Internationalization testing of the Appian platform:
Internationalization testing verifies that the application supports multiple languages, locales, and formats (e.g., date formats). While valuable for global applications, the scenario doesn't indicate a change in localization requirements tied to the database migration, interfaces, or processes. Appian's platform handles internationalization natively (e.g., via locale settings), and this isn't impacted by database technology or UI/process changes unless explicitly stated. This is out of scope for the given context and not a priority.
B . A regression test of all existing system functionality:
This is a critical inclusion. A database migration between technologies can affect data integrity, queries (e.g., a!queryEntity), and performance due to differences in SQL dialects, indexing, or drivers. Regression testing ensures that all existing functionality-records, reports, processes, and integrations-works as expected post-migration. Appian Lead Developer documentation mandates regression testing for significant infrastructure changes like this, as unmapped edge cases (e.g., datatype mismatches) could break the application. Given the "large, complex" nature, full-system validation is essential to catch unintended impacts.
C . Penetration testing of the Appian platform:
Penetration testing assesses security vulnerabilities (e.g., injection attacks). While security is important, the changes described-database migration, interface, and process updates-don't inherently alter Appian's security model (e.g., authentication, encryption), which is managed at the platform level. Appian's cloud or on-premise security isn't directly tied to database technology unless new vulnerabilities are introduced (not indicated here). This is a periodic concern, not specific to this migration, making it less relevant than functional validation.
D . Tests for each of the interfaces and process changes:
This is also essential. The project includes explicit "interface and process changes" alongside the migration. Interface updates (e.g., SAIL forms) might rely on new data structures or queries, while process changes (e.g., modified process models) could involve updated nodes or logic. Testing each change ensures these components function correctly with the new database and meet business requirements. Appian's testing guidelines emphasize targeted validation of modified components to confirm they integrate with the migrated data layer, making this a primary focus of the strategy.
E . Tests that ensure users can still successfully log into the platform:
Login testing verifies authentication (e.g., SSO, LDAP), typically managed by Appian's security layer, not the business database. A database migration affects application data, not user authentication, unless the database stores user credentials (uncommon in Appian, which uses separate identity management). While a quick sanity check, it's narrow and subsumed by broader regression testing (B), making it redundant as a standalone item.
Conclusion: The two key items are B (regression test of all existing system functionality) and D (tests for each of the interfaces and process changes). Regression testing (B) ensures the database migration doesn't disrupt the entire application, while targeted testing (D) validates the specific interface and process updates. Together, they cover the full scope-existing stability and new functionality-aligning with Appian's recommended approach for complex migrations and modifications.
Reference:
Appian Documentation: "Testing Best Practices" (Regression and Component Testing).
Appian Lead Developer Certification: Application Maintenance Module (Database Migration Strategies).
Appian Best Practices: "Managing Large-Scale Changes in Appian" (Test Planning).

 

NEW QUESTION # 23
You are deciding the appropriate process model data management strategy.
For each requirement. match the appropriate strategies to implement. Each strategy will be used once.
Note: To change your responses, you may deselect your response by clicking the blank space at the top of the selection list.

Answer:

Explanation:

Explanation:
* Archive processes 2 days after completion or cancellation. # Processes that need to be available for 2 days after completion or cancellation, after which are no longer required nor accessible.
* Use system default (currently: auto-archive processes 7 days after completion or cancellation). # Processes that remain available for 7 days after completion or cancellation, after which remain accessible.
* Delete processes 2 days after completion or cancellation. # Processes that need to be available for 2 days after completion or cancellation, after which remain accessible.
* Do not automatically clean-up processes. # Processes that need remain available without the need to unarchive.
Comprehensive and Detailed In-Depth Explanation:Appian provides process model data management strategies to manage the lifecycle of completed or canceled processes, balancing storage efficiency and accessibility. These strategies-archiving, using system defaults, deleting, and not cleaning up-are configured via the Appian Administration Console or process model settings. The Appian Process Management Guide outlines their purposes, enabling accurate matching.
* Archive processes 2 days after completion or cancellation # Processes that need to be available for
2 days after completion or cancellation, after which are no longer required nor accessible:
Archiving moves processes to a compressed, off-line state after a specified period, freeing up active resources. The description "available for 2 days, then no longer required nor accessible" matches this strategy, as archived processes are stored but not immediately accessible without unarchiving, aligning with the intent to retain data briefly before purging accessibility.
* Use system default (currently: auto-archive processes 7 days after completion or cancellation) # Processes that remain available for 7 days after completion or cancellation, after which remain accessible:The system default auto-archives processes after 7 days, as specified. The description
"remainavailable for 7 days, then remain accessible" fits this, indicating that processes are kept in an active state for 7 days before being archived, after which they can still be accessed (e.g., via unarchiving), matching the default behavior.
* Delete processes 2 days after completion or cancellation # Processes that need to be available for 2 days after completion or cancellation, after which remain accessible:Deletion permanently removes processes after the specified period. However, the description "available for 2 days, then remain accessible" seems contradictory since deletion implies no further access. This appears to be a misinterpretation in the options. The closest logical match, given the constraint of using each strategy once, is to assume a typo or intent to mean "no longer accessible" after deletion. However, strictly interpreting the image, no perfect match exists. Based on context, "remain accessible" likely should be
"no longer accessible," but I'll align with the most plausible intent: deletion after 2 days fits the "no longer required" aspect, though accessibility is lost post-deletion.
* Do not automatically clean-up processes # Processes that need remain available without the need to unarchive:Not cleaning up processes keeps them in an active state indefinitely, avoiding archiving or deletion. The description "remain available without the need to unarchive" matches this strategy, as processes stay accessible in the system without additional steps, ideal for long-term retention or audit purposes.
Matching Rationale:
* Each strategy is used once, as required. The matches are based on Appian's process lifecycle management: archiving for temporary retention with eventual inaccessibility, system default for a 7-day accessible period, deletion for permanent removal (adjusted for intent), and no cleanup for indefinite retention.
* The mismatch in Option 3's description ("remain accessible" after deletion) suggests a possible error in the question's options, but the assignment follows the most logical interpretation given the constraint.
References:Appian Documentation - Process Management Guide, Appian Administration Console - Process Model Settings, Appian Lead Developer Training - Data Management Strategies.

 

NEW QUESTION # 24
Your Agile Scrum project requires you to manage two teams, with three developers per team. Both teams are to work on the same application in parallel. How should the work be divided between the teams, avoiding issues caused by cross-dependency?

• A. Group epics and stories by technical difficulty, and allocate one team the more challenging stories.
• B. Have each team choose the stories they would like to work on based on personal preference.
• C. Allocate stories to each team based on the cumulative years of experience of the team members.
• D. Group epics and stories by feature, and allocate work between each team by feature.

Answer: D

Explanation:
Comprehensive and Detailed In-Depth Explanation:
In an Agile Scrum environment with two teams working on the same application in parallel, effective work division is critical to avoid cross-dependency, which can lead to delays, conflicts, and inefficiencies. Appian's Agile Development Best Practices emphasize team autonomy and minimizing dependencies to ensure smooth progress.
Option B (Group epics and stories by feature, and allocate work between each team by feature):
This is the recommended approach. By dividing the application's functionality into distinct features (e.g., Team 1 handles customer management, Team 2 handles campaign tracking), each team can work independently on a specific domain. This reduces cross-dependency because teams are not reliant on each other's deliverables within a sprint. Appian's guidance on multi-team projects suggests feature-based partitioning as a best practice, allowing teams to own their backlog items, design, and testing without frequent coordination. For example, Team 1 can develop and test customer-related interfaces while Team 2 works on campaign processes, merging their work during integration phases.
Option A (Group epics and stories by technical difficulty, and allocate one team the more challenging stories):
This creates an imbalance, potentially overloading one team and underutilizing the other, which can lead to morale issues and uneven progress. It also doesn't address cross-dependency, as challenging stories might still require input from both teams (e.g., shared data models), increasing coordination needs.
Option C (Allocate stories to each team based on the cumulative years of experience of the team members):
Experience-based allocation ignores the project's functional structure and can result in mismatched skills for specific features. It also risks dependencies if experienced team members are needed across teams, complicating parallel work.
Option D (Have each team choose the stories they would like to work on based on personal preference):
This lacks structure and could lead to overlap, duplication, or neglect of critical features. It increases the risk of cross-dependency as teams might select interdependent stories without coordination, undermining parallel development.
Feature-based division aligns with Scrum principles of self-organization and minimizes dependencies, making it the most effective strategy for this scenario.

 

NEW QUESTION # 25
Your application contains a process model that is scheduled to run daily at a certain time, which kicks off a user input task to a specified user on the 1st time zone for morning data collection. The time zone is set to the (default) pm!timezone. In this situation, what does the pm!timezone reflect?

• A. The time zone of the user who is completing the input task.
• B. The time zone of the user who most recently published the process model.
• C. The default time zone for the environment as specified in the Administration Console.
• D. The time zone of the server where Appian is installed.

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:In Appian, the pm!timezone variable is a process variable automatically available in process models, reflecting the time zone context for scheduled or time- based operations. Understanding its behavior is critical for scheduling tasks accurately, especially in scenarios like this where a process runs daily and assigns a user input task.
* Option C (The default time zone for the environment as specified in the Administration Console):
This is the correct answer. Per Appian's Process Model documentation, when a process model uses pm!
timezone and no custom time zone is explicitly set, it defaults to the environment's time zone configured in the Administration Console (under System > Time Zone settings). For scheduled processes, such as one running "daily at a certain time," Appian uses this default time zone to determine when the process triggers. In this case, the task assignment occurs based on the schedule, and pm!
timezone reflects the environment's setting, not the user's location.
* Option A (The time zone of the server where Appian is installed):This is incorrect. While the server' s time zone might influence underlying system operations, Appian abstracts this through the Administration Console's time zone setting. The pm!timezone variable aligns with the configured environment time zone, not the raw server setting.
* Option B (The time zone of the user who most recently published the process model):This is irrelevant. Publishing a process model does not tie pm!timezone to the publisher's time zone. Appian's scheduling is system-driven, not user-driven in this context.
* Option D (The time zone of the user who is completing the input task):This is also incorrect. While Appian can adjust task display times in the user interface to the assigned user's time zone (based on their profile settings), the pm!timezone in the process model reflects the environment's default time zone for scheduling purposes, not the assignee's.
For example, if the Administration Console is set to EST (Eastern Standard Time), the process will trigger daily at the specified time in EST, regardless of the assigned user's location. The "1st time zone" phrasing in the question appears to be a typo or miscommunication, but it doesn't change the fact that pm!timezone defaults to the environment setting.
References:Appian Documentation - Process Variables (pm!timezone), Appian Lead Developer Training - Process Scheduling and Time Zone Management, Administration Console Guide - System Settings.

 

NEW QUESTION # 26
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