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Appian ACD301 Exam Syllabus Topics:

Topic
Details

Topic 1

• 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 2

• 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 3

• Extending Appian: This section of the exam measures skills of Integration Specialists and covers building and troubleshooting advanced integrations using connected systems and APIs. Candidates are expected to work with authentication, evaluate plug-ins, develop custom solutions when needed, and utilize document generation options to extend the platform’s capabilities.

Appian Lead Developer Sample Questions (Q41-Q46):

NEW QUESTION # 41
While working on an application, you have identified oddities and breaks in some of your components. How can you guarantee that this mistake does not happen again in the future?

• A. Ensure that the application administrator group only has designers from that application's team.
• B. Design and communicate a best practice that dictates designers only work within the confines of their own application.
• C. Provide Appian developers with the "Designer" permissions role within Appian. Ensure that they have only basic user rights and assign them the permissions to administer their application.
• D. Create a best practice that enforces a peer review of the deletion of any components within the application.

Answer: D

Explanation:
Comprehensive and Detailed In-Depth Explanation:
As an Appian Lead Developer, preventing recurring "oddities and breaks" in application components requires addressing root causes-likely tied to human error, lack of oversight, or uncontrolled changes-while leveraging Appian's governance and collaboration features. The question implies a past mistake (e.g., accidental deletions or modifications) and seeks a proactive, sustainable solution. Let's evaluate each option based on Appian's official documentation and best practices:
A . Design and communicate a best practice that dictates designers only work within the confines of their own application:
This suggests restricting designers to their assigned applications via a policy. While Appian supports application-level security (e.g., Designer role scoped to specific applications), this approach relies on voluntary compliance rather than enforcement. It doesn't directly address "oddities and breaks"-e.g., a designer could still mistakenly alter components within their own application. Appian's documentation emphasizes technical controls and process rigor over broad guidelines, making this insufficient as a guarantee.
B . Ensure that the application administrator group only has designers from that application's team:
This involves configuring security so only team-specific designers have Administrator rights to the application (via Appian's Security settings). While this limits external interference, it doesn't prevent internal mistakes (e.g., a team designer deleting a critical component). Appian's security model already restricts access by default, and the issue isn't about unauthorized access but rather component integrity. This step is a hygiene factor, not a direct solution to the problem, and fails to "guarantee" prevention.
C . Create a best practice that enforces a peer review of the deletion of any components within the application:
This is the best choice. A peer review process for deletions (e.g., process models, interfaces, or records) introduces a checkpoint to catch errors before they impact the application. In Appian, deletions are permanent and can cascade (e.g., breaking dependencies), aligning with the "oddities and breaks" described. While Appian doesn't natively enforce peer reviews, this can be implemented via team workflows-e.g., using Appian's collaboration tools (like Comments or Tasks) or integrating with version control practices during deployment. Appian Lead Developer training emphasizes change management and peer validation to maintain application stability, making this a robust, preventive measure that directly addresses the root cause.
D . Provide Appian developers with the "Designer" permissions role within Appian. Ensure that they have only basic user rights and assign them the permissions to administer their application:
This option is confusingly worded but seems to suggest granting Designer system role permissions (a high-level privilege) while limiting developers to Viewer rights system-wide, with Administrator rights only for their application. In Appian, the "Designer" system role grants broad platform access (e.g., creating applications), which contradicts "basic user rights" (Viewer role). Regardless, adjusting permissions doesn't prevent mistakes-it only controls who can make them. The issue isn't about access but about error prevention, so this option misses the mark and is impractical due to its contradictory setup.
Conclusion: Creating a best practice that enforces a peer review of the deletion of any components (C) is the strongest solution. It directly mitigates the risk of "oddities and breaks" by adding oversight to destructive actions, leveraging team collaboration, and aligning with Appian's recommended governance practices. Implementation could involve documenting the process, training the team, and using Appian's monitoring tools (e.g., Application Properties history) to track changes-ensuring mistakes are caught before deployment. This provides the closest guarantee to preventing recurrence.
Reference:
Appian Documentation: "Application Security and Governance" (Change Management Best Practices).
Appian Lead Developer Certification: Application Design Module (Preventing Errors through Process).
Appian Best Practices: "Team Collaboration in Appian Development" (Peer Review Recommendations).

NEW QUESTION # 42
Your Appian project just went live with the following environment setup: DEV > TEST (SIT/UAT) > PROD. Your client is considering adding a support team to manage production defects and minor enhancements, while the original development team focuses on Phase 2. Your client is asking you for a new environment strategy that will have the least impact on Phase 2 development work. Which option involves the lowest additional server cost and the least code retrofit effort?

• A. Phase 2 development work stream: DEV > TEST (SIT) > STAGE (UAT) > PROD Production support work stream: DEV > TEST2 (SIT/UAT) > PROD
• B. Phase 2 development work stream: DEV > TEST (SIT/UAT) > PROD Production support work stream: DEV2 > TEST (SIT/UAT) > PROD
• C. Phase 2 development work stream: DEV > TEST (SIT/UAT) > PROD
  Production support work stream: DEV > TEST2 (SIT/UAT) > PROD
• D. Phase 2 development work stream: DEV > TEST (SIT) > STAGE (UAT) > PROD Production support work stream: DEV2 > STAGE (SIT/UAT) > PROD

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:
The goal is to design an environment strategy that minimizes additional server costs and code retrofit effort while allowing the support team to manage production defects and minor enhancements without disrupting the Phase 2 development team. The current setup (DEV > TEST (SIT/UAT) > PROD) uses a single development and testing pipeline, and the client wants to segregate support activities from Phase 2 development. Appian's Environment Management Best Practices emphasize scalability, cost efficiency, and minimal refactoring when adjusting environments.
Option C (Phase 2 development work stream: DEV > TEST (SIT/UAT) > PROD; Production support work stream: DEV > TEST2 (SIT/UAT) > PROD):
This option is the most cost-effective and requires the least code retrofit effort. It leverages the existing DEV environment for both teams but introduces a separate TEST2 environment for the support team's SIT/UAT activities. Since DEV is already shared, no new development server is needed, minimizing server costs. The existing code in DEV and TEST can be reused for TEST2 by exporting and importing packages, with minimal adjustments (e.g., updating environment-specific configurations). The Phase 2 team continues using the original TEST environment, avoiding disruption. Appian supports multiple test environments branching from a single DEV, and the PROD environment remains shared, aligning with the client's goal of low impact on Phase 2. The support team can handle defects and enhancements in TEST2 without interfering with development workflows.
Option A (Phase 2 development work stream: DEV > TEST (SIT) > STAGE (UAT) > PROD; Production support work stream: DEV > TEST2 (SIT/UAT) > PROD):
This introduces a STAGE environment for UAT in the Phase 2 stream, adding complexity and potentially requiring code updates to accommodate the new environment (e.g., adjusting deployment scripts). It also requires a new TEST2 server, increasing costs compared to Option C, where TEST2 reuses existing infrastructure.
Option B (Phase 2 development work stream: DEV > TEST (SIT) > STAGE (UAT) > PROD; Production support work stream: DEV2 > STAGE (SIT/UAT) > PROD):
This option adds both a DEV2 server for the support team and a STAGE environment, significantly increasing server costs. It also requires refactoring code to support two development environments (DEV and DEV2), including duplicating or synchronizing objects, which is more effort than reusing a single DEV.
Option D (Phase 2 development work stream: DEV > TEST (SIT/UAT) > PROD; Production support work stream: DEV2 > TEST (SIT/UAT) > PROD):
This introduces a DEV2 server for the support team, adding server costs. Sharing the TEST environment between teams could lead to conflicts (e.g., overwriting test data), potentially disrupting Phase 2 development. Code retrofit effort is higher due to managing two DEV environments and ensuring TEST compatibility.
Cost and Retrofit Analysis:
Server Cost: Option C avoids new DEV or STAGE servers, using only an additional TEST2, which can often be provisioned on existing hardware or cloud resources with minimal cost. Options A, B, and D require additional servers (TEST2, DEV2, or STAGE), increasing expenses.
Code Retrofit: Option C minimizes changes by reusing DEV and PROD, with TEST2 as a simple extension. Options A and B require updates for STAGE, and B and D involve managing multiple DEV environments, necessitating more significant refactoring.
Appian's recommendation for environment strategies in such scenarios is to maximize reuse of existing infrastructure and avoid unnecessary environment proliferation, making Option C the optimal choice.

NEW QUESTION # 43
You are reviewing log files that can be accessed in Appian to monitor and troubleshoot platform-based issues.
For each type of log file, match the corresponding Information that it provides. Each description will either be used once, or not at all.
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:
* design_errors.csv # Errors in start forms, task forms, record lists, enabled environments
* devops_infrastructure.csv # Metrics such as the total time spent evaluating a plug-in function
* login-audit.csv # Inbound requests using HTTP basic authentication
Comprehensive and Detailed In-Depth Explanation:Appian provides various log files to monitor and troubleshoot platform issues, accessible through the Administration Console or exported as CSV files. These logs capture different aspects of system performance, security, and user interactions. The Appian Monitoring and Troubleshooting Guide details the purpose of each log file, enabling accurate matching.
* design_errors.csv # Errors in start forms, task forms, record lists, enabled environments:The design_errors.csv log file is specifically designed to track errors related to the design and runtime behavior of Appian objects such as start forms, task forms, and record lists. It alsoincludes information about issues in enabled environments, making it the appropriate match. This log helps developers identify and resolve UI or configuration errors, aligning with its purpose of capturing design-time and runtime issues.
* devops_infrastructure.csv # Metrics such as the total time spent evaluating a plug-in function:The devops_infrastructure.csv log file provides infrastructure and performance metrics for Appian Cloud instances. It includes data on system performance, such as the time spent evaluating plug-in functions, which is critical for optimizing custom integrations. This matches the description, as it focuses on operational metrics rather than errors or security events, consistent with Appian's infrastructure monitoring approach.
* login-audit.csv # Inbound requests using HTTP basic authentication:The login-audit.csv log file tracks user authentication and login activities, including details about inbound requests using HTTP basic authentication. This log is used to monitor security events, such as successful and failed login attempts, making it the best fit for this description. Appian's security logging emphasizes audit trails for authentication, aligning with this use case.
Unused Description:
* Number of enabled environments:This description is not matched to any log file. While it could theoretically relate to system configuration logs, none of the listed files (design_errors.csv, devops_infrastructure.csv, login-audit.csv) are specifically designed to report the number of enabled environments. This might be tracked in a separate administrative report or configuration log not listed here.
Matching Rationale:
* Each description is either used once or not at all, as specified. The matches are based on Appian's documented log file purposes: design_errors.csv for design-related errors, devops_infrastructure.csv for performance metrics, and login-audit.csv for authentication details.
* The unused description suggests the question allows for some descriptions to remain unmatched, reflecting real-world variability in log file content.
References:Appian Documentation - Monitoring and Troubleshooting Guide, Appian Administration Console - Log File Reference, Appian Lead Developer Training - Platform Diagnostics.

NEW QUESTION # 44
You are taking your package from the source environment and importing it into the target environment.
Review the errors encountered during inspection:
What is the first action you should take to Investigate the issue?

• A. Check whether the object (UUD ending in 7t00000i4e7a) is included in this package
• B. Check whether the object (UUID ending in 18028931) is included in this package
• C. Check whether the object (UUID ending in 25606) is included in this package
• D. Check whether the object (UUID ending in 18028821) is included in this package

Answer: A

Explanation:
The error log provided indicates issues during the package import into the target environment, with multiple objects failing to import due to missing precedents. The key error messages highlight specific UUIDs associated with objects that cannot be resolved. The first error listed states:
* "'TEST_ENTITY_PROFILE_MERGE_HISTORY': The content [id=uuid-a-0000m5fc-f0e6-8000-
9b01-011c48011c48, 18028821] was not imported because a required precedent is missing: entity
[uuid=a-0000m5fc-f0e6-8000-9b01-011c48011c48, 18028821] cannot be found..." According to Appian's Package Deployment Best Practices, when importing a package, the first step in troubleshooting is to identify the root cause of the failure. The initial error in the log points to an entity object with a UUID ending in 18028821, which failed to import due to a missing precedent. This suggests that the object itself or one of its dependencies (e.g., a data store or related entity) is either missing from the package or not present in the target environment.
* Option A (Check whether the object (UUID ending in 18028821) is included in this package):This is the correct first action. Since the first error references this UUID, verifying its inclusion in the package is the logical starting point. If it's missing, the package export from the source environment was incomplete. If it's included but still fails, the precedent issue (e.g., a missing data store) needs further investigation.
* Option B (Check whether the object (UUID ending in 7t00000i4e7a) is included in this package):
This appears to be a typo or corrupted UUID (likely intended as something like "7t000014e7a" or similar), and it's not referenced in the primary error. It's mentioned later in the log but is not the first issue to address.
* Option C (Check whether the object (UUID ending in 25606) is included in this package):This UUID is associated with a data store error later in the log, but it's not the first reported issue.
* Option D (Check whether the object (UUID ending in 18028931) is included in this package):This UUID is mentioned in a subsequent error related to a process model or expression rule, but it's not the initial failure point.
Appian recommends addressing errors in the order they appear in the log to systematically resolve dependencies. Thus, starting with the object ending in 18028821 is the priority.
References:Appian Documentation - Package Deployment and Troubleshooting, Appian Lead Developer Training - Error Handling and Import/Export.

NEW QUESTION # 45
You need to connect Appian with LinkedIn to retrieve personal information about the users in your application. This information is considered private, and users should allow Appian to retrieve their information. Which authentication method would you recommend to fulfill this request?

• A. Basic Authentication with dedicated account's login information
• B. API Key Authentication
• C. Basic Authentication with user's login information
• D. OAuth 2.0: Authorization Code Grant

Answer: D

Explanation:
Comprehensive and Detailed In-Depth Explanation:
As an Appian Lead Developer, integrating with an external system like LinkedIn to retrieve private user information requires a secure, user-consented authentication method that aligns with Appian's capabilities and industry standards. The requirement specifies that users must explicitly allow Appian to access their private data, which rules out methods that don't involve user authorization. Let's evaluate each option based on Appian's official documentation and LinkedIn's API requirements:
A . API Key Authentication:
API Key Authentication involves using a single static key to authenticate requests. While Appian supports this method via Connected Systems (e.g., HTTP Connected System with an API key header), it's unsuitable here. API keys authenticate the application, not the user, and don't provide a mechanism for individual user consent. LinkedIn's API for private data (e.g., profile information) requires per-user authorization, which API keys cannot facilitate. Appian documentation notes that API keys are best for server-to-server communication without user context, making this option inadequate for the requirement.
B . Basic Authentication with user's login information:
This method uses a username and password (typically base64-encoded) provided by each user. In Appian, Basic Authentication is supported in Connected Systems, but applying it here would require users to input their LinkedIn credentials directly into Appian. This is insecure, impractical, and against LinkedIn's security policies, as it exposes user passwords to the application. Appian Lead Developer best practices discourage storing or handling user credentials directly due to security risks (e.g., credential leakage) and maintenance challenges. Moreover, LinkedIn's API doesn't support Basic Authentication for user-specific data access-it requires OAuth 2.0. This option is not viable.
C . Basic Authentication with dedicated account's login information:
This involves using a single, dedicated LinkedIn account's credentials to authenticate all requests. While technically feasible in Appian's Connected System (using Basic Authentication), it fails to meet the requirement that "users should allow Appian to retrieve their information." A dedicated account would access data on behalf of all users without their individual consent, violating privacy principles and LinkedIn's API terms. LinkedIn restricts such approaches, requiring user-specific authorization for private data. Appian documentation advises against blanket credentials for user-specific integrations, making this option inappropriate.
D . OAuth 2.0: Authorization Code Grant:
This is the recommended choice. OAuth 2.0 Authorization Code Grant, supported natively in Appian's Connected System framework, is designed for scenarios where users must authorize an application (Appian) to access their private data on a third-party service (LinkedIn). In this flow, Appian redirects users to LinkedIn's authorization page, where they grant permission. Upon approval, LinkedIn returns an authorization code, which Appian exchanges for an access token via the Token Request Endpoint. This token enables Appian to retrieve private user data (e.g., profile details) securely and per user. Appian's documentation explicitly recommends this method for integrations requiring user consent, such as LinkedIn, and provides tools like a!authorizationLink() to handle authorization failures gracefully. LinkedIn's API (e.g., v2 API) mandates OAuth 2.0 for personal data access, aligning perfectly with this approach.
Conclusion: OAuth 2.0: Authorization Code Grant (D) is the best method. It ensures user consent, complies with LinkedIn's API requirements, and leverages Appian's secure integration capabilities. In practice, you'd configure a Connected System in Appian with LinkedIn's Client ID, Client Secret, Authorization Endpoint (e.g., https://www.linkedin.com/oauth/v2/authorization), and Token Request Endpoint (e.g., https://www.linkedin.com/oauth/v2/accessToken), then use an Integration object to call LinkedIn APIs with the access token. This solution is scalable, secure, and aligns with Appian Lead Developer certification standards for third-party integrations.
Reference:
Appian Documentation: "Setting Up a Connected System with the OAuth 2.0 Authorization Code Grant" (Connected Systems).
Appian Lead Developer Certification: Integration Module (OAuth 2.0 Configuration and Best Practices).
LinkedIn Developer Documentation: "OAuth 2.0 Authorization Code Flow" (API Authentication Requirements).

NEW QUESTION # 46
......

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