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ACD301一発合格 & ACD301試験関連赤本

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Appian ACD301 認定試験の出題範囲：

トピック
出題範囲

トピック 1

• Data Management: This section of the exam measures skills of Data Architects and covers analyzing, designing, and securing data models. Candidates must demonstrate an understanding of how to use Appian’s data fabric and manage data migrations. The focus is on ensuring performance in high-volume data environments, solving data-related issues, and implementing advanced database features effectively.

トピック 2

• 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.

トピック 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.

トピック 4

• 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.

トピック 5

• 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.

 

>> ACD301一発合格 <<

Appian ACD301試験関連赤本、ACD301日本語版対策ガイド

当社のソフトウェアバージョンには、実際のACD301試験環境をシミュレートするという利点があります。多くの受験者は、練習をするときにパフォーマンスを発揮するには神経質すぎるため、実際のACD301試験に合格できません。 ACD301練習資料のこのソフトウェアバージョンは、心理的な恐怖を克服するのに役立ちます。その上、練習を終えると得点が表示されるので、数回後には間違いなくどんどん良くなります。 ACD301試験の受験を完了したため、ACD301試験に合格する必要があります。

Appian Lead Developer 認定 ACD301 試験問題 (Q11-Q16):

質問 # 11
You are tasked to build a large-scale acquisition application for a prominent customer. The acquisition process tracks the time it takes to fulfill a purchase request with an award.
The customer has structured the contract so that there are multiple application development teams.
How should you design for multiple processes and forms, while minimizing repeated code?

• A. Create a Scrum of Scrums sprint meeting for the team leads.
• B. Create duplicate processes and forms as needed.
• C. Create a Center of Excellence (CoE).
• D. Create a common objects application.

正解：D

解説：
Comprehensive and Detailed In-Depth Explanation:As an Appian Lead Developer, designing a large-scale acquisition application with multiple development teams requires a strategy to manage processes, forms, and code reuse effectively. The goal is to minimize repeated code (e.g., duplicate interfaces, process models) while ensuring scalability and maintainability across teams. Let's evaluate each option:
* A. Create a Center of Excellence (CoE):A Center of Excellence is an organizational structure or team focused on standardizing practices, training, and governance across projects. While beneficial for long- term consistency, it doesn't directly address the technical design of minimizing repeated code for processes and forms. It's a strategic initiative, not a design solution, and doesn't solve the immediate need for code reuse. Appian's documentation mentions CoEs for governance but not as a primary design approach, making this less relevant here.
* B. Create a common objects application:This is the best recommendation. In Appian, a "common objects application" (or shared application) is used to store reusable components like expression rules, interfaces, process models, constants, and data types (e.g., CDTs). For a large-scale acquisition application with multiple teams, centralizing shared objects (e.g., rule!CommonForm, pm!
CommonProcess) ensures consistency, reduces duplication, and simplifies maintenance. Teams can reference these objects in their applications, adhering to Appian's design best practices for scalability.
This approach minimizes repeated code while allowing team-specific customizations, aligning with Lead Developer standards for large projects.
* C. Create a Scrum of Scrums sprint meeting for the team leads:A Scrum of Scrums meeting is a coordination mechanism for Agile teams, focusing on aligning sprint goals and resolving cross-team dependencies. While useful for collaboration, it doesn't address the technical design of minimizing repeated code-it's a process, not a solution for codereuse. Appian's Agile methodologies support such meetings, but they don't directly reduce duplication in processes and forms, making this less applicable.
* D. Create duplicate processes and forms as needed:Duplicating processes and forms (e.g., copying interface!PurchaseForm for each team) leads to redundancy, increased maintenance effort, and potential inconsistencies (e.g., divergent logic). This contradicts the goal of minimizing repeated code and violates Appian's design principles for reusability and efficiency. Appian's documentation strongly discourages duplication, favoring shared objects instead, making this the least effective option.
Conclusion: Creating a common objects application (B) is the recommended design. It centralizes reusable processes, forms, and other components, minimizing code duplication across teams while ensuring consistency and scalability for the large-scale acquisition application. This leverages Appian's application architecture for shared resources, aligning with Lead Developer best practices for multi-team projects.
References:
* Appian Documentation: "Designing Large-Scale Applications" (Common Application for Reusable Objects).
* Appian Lead Developer Certification: Application Design Module (Minimizing Code Duplication).
* Appian Best Practices: "Managing Multi-Team Development" (Shared Objects Strategy).
To build a large scale acquisition application for a prominent customer, you should design for multiple processes and forms, while minimizing repeated code. One way to do this is to create a common objects application, which is a shared application that contains reusable components, such as rules, constants, interfaces, integrations, or data types, that can be used by multiple applications. This way, you can avoid duplication and inconsistency of code, and make it easier to maintain and update your applications. You can also use the common objects application to define common standards and best practices for your application development teams, such as naming conventions, coding styles, or documentation guidelines. Verified References: [Appian Best Practices], [Appian Design Guidance]

 

質問 # 12
An existing integration is implemented in Appian. Its role is to send data for the main case and its related objects in a complex JSON to a REST API, to insert new information into an existing application. This integration was working well for a while. However, the customer highlighted one specific scenario where the integration failed in Production, and the API responded with a 500 Internal Error code. The project is in Post- Production Maintenance, and the customer needs your assistance. Which three steps should you take to troubleshoot the issue?

• A. Analyze the behavior of subsequent calls to the Production API to ensure there is no global issue, and ask the customer to analyze the API logs to understand the nature of the issue.
• B. Send the same payload to the test API to ensure the issue is not related to the API environment.
• C. Send a test case to the Production API to ensure the service is still up and running.
• D. Ensure there were no network issues when the integration was sent.
• E. Obtain the JSON sent to the API and validate that there is no difference between the expected JSON format and the sent one.

正解：A、B、E

解説：
Comprehensive and Detailed In-Depth Explanation:As an Appian Lead Developer in a Post-Production Maintenance phase, troubleshooting a failed integration (HTTP 500 Internal Server Error) requires a systematic approach to isolate the root cause-whether it's Appian-side, API-side, or environmental. A 500 error typically indicates an issue on the server (API) side, but the developer must confirm Appian's contribution and collaborate with the customer. The goal is to select three steps that efficiently diagnose the specific scenario while adhering to Appian's best practices. Let's evaluate each option:
* A. Send the same payload to the test API to ensure the issue is not related to the API environment:This is a critical step. Replicating the failure by sending the exact payload (from the failed Production call) to a test API environment helps determine if the issue is environment-specific (e.g., Production-only configuration) or inherent to the payload/API logic. Appian's Integration troubleshooting guidelines recommend testing in a non-Production environment first to isolate variables. If the test API succeeds, the Production environment or API state is implicated; if it fails, the payload or API logic is suspect.
This step leverages Appian's Integration object logging (e.g., request/response capture) and is a standard diagnostic practice.
* B. Send a test case to the Production API to ensure the service is still up and running:While verifying Production API availability is useful, sending an arbitrary test case risks further Production disruption during maintenance and may not replicate the specific scenario. A generic test might succeed (e.g., with simpler data), masking the issue tied to the complex JSON. Appian's Post-Production guidelines discourage unnecessary Production interactions unless replicating the exact failure is controlled and justified. This step is less precise than analyzing existing behavior (C) and is not among the top three priorities.
* C. Analyze the behavior of subsequent calls to the Production API to ensure there is no global issue, and ask the customer to analyze the API logs to understand the nature of the issue:This is essential.
Reviewing subsequent Production calls (via Appian's Integration logs or monitoring tools) checks if the
500 error is isolated or systemic (e.g., API outage). Since Appiancan't access API server logs, collaborating with the customer to review their logs is critical for a 500 error, which often stems from server-side exceptions (e.g., unhandled data). Appian Lead Developer training emphasizes partnership with API owners and using Appian's Process History or Application Monitoring to correlate failures- making this a key troubleshooting step.
* D. Obtain the JSON sent to the API and validate that there is no difference between the expected JSON format and the sent one:This is a foundational step. The complex JSON payload is central to the integration, and a 500 error could result from malformed data (e.g., missing fields, invalid types) that the API can't process. In Appian, you can retrieve the sent JSON from the Integration object's execution logs (if enabled) or Process Instance details. Comparing it against the API's documented schema (e.g., via Postman or API specs) ensures Appian's output aligns with expectations. Appian's documentation stresses validating payloads as a first-line check for integration failures, especially in specific scenarios.
* E. Ensure there were no network issues when the integration was sent:While network issues (e.g., timeouts, DNS failures) can cause integration errors, a 500 Internal Server Error indicates the request reached the API and triggered a server-side failure-not a network issue (which typically yields 503 or timeout errors). Appian's Connected System logs can confirm HTTP status codes, and network checks (e.g., via IT teams) are secondary unless connectivity is suspected. This step is less relevant to the 500 error and lower priority than A, C, and D.
Conclusion: The three best steps are A (test API with same payload), C (analyze subsequent calls and customer logs), and D (validate JSON payload). These steps systematically isolate the issue-testing Appian' s output (D), ruling out environment-specific problems (A), and leveraging customer insights into the API failure (C). This aligns with Appian's Post-Production Maintenance strategies: replicate safely, analyze logs, and validate data.
References:
* Appian Documentation: "Troubleshooting Integrations" (Integration Object Logging and Debugging).
* Appian Lead Developer Certification: Integration Module (Post-Production Troubleshooting).
* Appian Best Practices: "Handling REST API Errors in Appian" (500 Error Diagnostics).

 

質問 # 13
As part of an upcoming release of an application, a new nullable field is added to a table that contains customer dat a. The new field is used by a report in the upcoming release and is calculated using data from another table.
Which two actions should you consider when creating the script to add the new field?

• A. Create a script that adds the field and leaves it null.
• B. Create a rollback script that clears the data from the field.
• C. Add a view that joins the customer data to the data used in calculation.
• D. Create a script that adds the field and then populates it.
• E. Create a rollback script that removes the field.

正解：D、E

解説：
Comprehensive and Detailed In-Depth Explanation:
As an Appian Lead Developer, adding a new nullable field to a database table for an upcoming release requires careful planning to ensure data integrity, report functionality, and rollback capability. The field is used in a report and calculated from another table, so the script must handle both deployment and potential reversibility. Let's evaluate each option:
A . Create a script that adds the field and leaves it null:
Adding a nullable field and leaving it null is technically feasible (e.g., using ALTER TABLE ADD COLUMN in SQL), but it doesn't address the report's need for calculated data. Since the field is used in a report and calculated from another table, leaving it null risks incomplete or incorrect reporting until populated, delaying functionality. Appian's data management best practices recommend populating data during deployment for immediate usability, making this insufficient as a standalone action.
B . Create a rollback script that removes the field:
This is a critical action. In Appian, database changes (e.g., adding a field) must be reversible in case of deployment failure or rollback needs (e.g., during testing or PROD issues). A rollback script that removes the field (e.g., ALTER TABLE DROP COLUMN) ensures the database can return to its original state, minimizing risk. Appian's deployment guidelines emphasize rollback scripts for schema changes, making this essential for safe releases.
C . Create a script that adds the field and then populates it:
This is also essential. Since the field is nullable, calculated from another table, and used in a report, populating it during deployment ensures immediate functionality. The script can use SQL (e.g., UPDATE table SET new_field = (SELECT calculated_value FROM other_table WHERE condition)) to populate data, aligning with Appian's data fabric principles for maintaining data consistency. Appian's documentation recommends populating new fields during deployment for reporting accuracy, making this a key action.
D . Create a rollback script that clears the data from the field:
Clearing data (e.g., UPDATE table SET new_field = NULL) is less effective than removing the field entirely. If the deployment fails, the field's existence with null values could confuse reports or processes, requiring additional cleanup. Appian's rollback strategies favor reverting schema changes completely (removing the field) rather than leaving it with nulls, making this less reliable and unnecessary compared to B.
E . Add a view that joins the customer data to the data used in calculation:
Creating a view (e.g., CREATE VIEW customer_report AS SELECT ... FROM customer_table JOIN other_table ON ...) is useful for reporting but isn't a prerequisite for adding the field. The scenario focuses on the field addition and population, not reporting structure. While a view could optimize queries, it's a secondary step, not a primary action for the script itself. Appian's data modeling best practices suggest views as post-deployment optimizations, not script requirements.
Conclusion: The two actions to consider are B (create a rollback script that removes the field) and C (create a script that adds the field and then populates it). These ensure the field is added with data for immediate report usability and provide a safe rollback option, aligning with Appian's deployment and data management standards for schema changes.
Reference:
Appian Documentation: "Database Schema Changes" (Adding Fields and Rollback Scripts).
Appian Lead Developer Certification: Data Management Module (Schema Deployment Strategies).
Appian Best Practices: "Managing Data Changes in Production" (Populating and Rolling Back Fields).

 

質問 # 14
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 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.
• C. 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.
• D. 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.

正解：B

解説：
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).

 

質問 # 15
You are on a call with a new client, and their program lead is concerned about how their legacy systems will integrate with Appian. The lead wants to know what authentication methods are supported by Appian. Which three authentication methods are supported?

• A. OAuth
• B. Active Directory
• C. Biometrics
• D. CAC
• E. API Keys
• F. SAML

正解：A、B、F

解説：
Comprehensive and Detailed In-Depth Explanation:
As an Appian Lead Developer, addressing a client's concerns about integrating legacy systems with Appian requires accurately identifying supported authentication methods for system-to-system communication or user access. The question focuses on Appian's integration capabilities, likely for both user authentication (e.g., SSO) and API authentication, as legacy system integration often involves both. Appian's documentation outlines supported methods in its Connected Systems and security configurations. Let's evaluate each option:
A . API Keys:
API Key authentication involves a static key sent in requests (e.g., via headers). Appian supports this for outbound integrations in Connected Systems (e.g., HTTP Authentication with an API key), allowing legacy systems to authenticate Appian calls. However, it's not a user authentication method for Appian's platform login-it's for system-to-system integration. While supported, it's less common for legacy system SSO or enterprise use cases compared to other options, making it a lower-priority choice here.
B . Biometrics:
Biometrics (e.g., fingerprint, facial recognition) isn't natively supported by Appian for platform authentication or integration. Appian relies on standard enterprise methods (e.g., username/password, SSO), and biometric authentication would require external identity providers or custom clients, not Appian itself. Documentation confirms no direct biometric support, ruling this out as an Appian-supported method.
C . SAML:
Security Assertion Markup Language (SAML) is fully supported by Appian for user authentication via Single Sign-On (SSO). Appian integrates with SAML 2.0 identity providers (e.g., Okta, PingFederate), allowing users to log in using credentials from legacy systems that support SAML-based SSO. This is a key enterprise method, widely used for integrating with existing identity management systems, and explicitly listed in Appian's security configuration options-making it a top choice.
D . CAC:
Common Access Card (CAC) authentication, often used in government contexts with smart cards, isn't natively supported by Appian as a standalone method. While Appian can integrate with CAC via SAML or PKI (Public Key Infrastructure) through an identity provider, it's not a direct Appian authentication option. Documentation mentions smart card support indirectly via SSO configurations, but CAC itself isn't explicitly listed, making it less definitive than other methods.
E . OAuth:
OAuth (specifically OAuth 2.0) is supported by Appian for both outbound integrations (e.g., Authorization Code Grant, Client Credentials) and inbound API authentication (e.g., securing Appian Web APIs). For legacy system integration, Appian can use OAuth to authenticate with APIs (e.g., Google, Salesforce) or allow legacy systems to call Appian services securely. Appian's Connected System framework includes OAuth configuration, making it a versatile, standards-based method highly relevant to the client's needs.
F . Active Directory:
Active Directory (AD) integration via LDAP (Lightweight Directory Access Protocol) is supported for user authentication in Appian. It allows synchronization of users and groups from AD, enabling SSO or direct login with AD credentials. For legacy systems using AD as an identity store, this is a seamless integration method. Appian's documentation confirms LDAP/AD as a core authentication option, widely adopted in enterprise environments-making it a strong fit.
Conclusion: The three supported authentication methods are C (SAML), E (OAuth), and F (Active Directory). These align with Appian's enterprise-grade capabilities for legacy system integration: SAML for SSO, OAuth for API security, and AD for user management. API Keys (A) are supported but less prominent for user authentication, CAC (D) is indirect, and Biometrics (B) isn't supported natively. This selection reassures the client of Appian's flexibility with common legacy authentication standards.
Reference:
Appian Documentation: "Authentication for Connected Systems" (OAuth, API Keys).
Appian Documentation: "Configuring Authentication" (SAML, LDAP/Active Directory).
Appian Lead Developer Certification: Integration Module (Authentication Methods).

 

質問 # 16
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