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| Section | Weight | Objectives |
|---|---|---|
| Data Management | 25% | - Leverage Data Fabric, data types, and migration strategies - Troubleshoot complex data and database performance issues - Design secure and efficient data models |
| Platform & Solution Architecture | 15% | - Understand enterprise platform architecture - Manage deployments and environment configurations - Make architecture decisions for maintainability and scalability |
| Extending Appian & Integrations | 15% | - Design advanced APIs and connected systems - Implement authentication and secure integrations - Troubleshoot integration and API errors |
| Scalability and Performance Design | 20% | - Plan and execute load testing and monitoring - Troubleshoot application-level performance bottlenecks - Design and build high-performance components |
| Application Design and Development | 25% | - Evaluate how Appian meets user requirements - Design applications with reusability and consistency - Apply best practices for multi-application development |
Appian試験に参加するのはあなたに自身のレベルを高めさせるだけでなく、あなたがより良く就職し輝かしい未来を持っています。JpexamのACD-301資料を利用してから、あなたは短い時間でリラクスで試験に合格することができます。我々が存在するのはあなたの成功を全力で助けるためこそです。
質問 # 33
You are running an inspection as part of the first deployment process from TEST to PROD. You receive a notice that one of your objects will not deploy because it is dependent on an object from an application owned by a separate team.
What should be your next step?
正解：D
解説：
Comprehensive and Detailed In-Depth Explanation:
As an Appian Lead Developer, managing a deployment from TEST to PROD requires careful handling of dependencies, especially when objects from another team's application are involved. The scenario describes a dependency issue during deployment, signaling a need for collaboration and governance. Let's evaluate each option:
A . Create your own object with the same code base, replace the dependent object in the application, and deploy to PROD:
This approach involves duplicating the object, which introduces redundancy, maintenance risks, and potential version control issues. It violates Appian's governance principles, as objects should be owned and managed by their respective teams to ensure consistency and avoid conflicts. Appian's deployment best practices discourage duplicating objects unless absolutely necessary, making this an unsustainable and risky solution.
B . Halt the production deployment and contact the other team for guidance on promoting the object to PROD:
This is the correct step. When an object from another application (owned by a separate team) is a dependency, Appian's deployment process requires coordination to ensure both applications' objects are deployed in sync. Halting the deployment prevents partial deployments that could break functionality, and contacting the other team aligns with Appian's collaboration and governance guidelines. The other team can provide the necessary object version, adjust their deployment timeline, or resolve the dependency, ensuring a stable PROD environment.
C . Check the dependencies of the necessary object. Deploy to PROD if there are few dependencies and it is low risk:
This approach risks deploying an incomplete or unstable application if the dependency isn't fully resolved. Even with "few dependencies" and "low risk," deploying without the other team's object could lead to runtime errors or broken functionality in PROD. Appian's documentation emphasizes thorough dependency management during deployment, requiring all objects (including those from other applications) to be promoted together, making this risky and not recommended.
D . Push a functionally viable package to PROD without the dependencies, and plan the rest of the deployment accordingly with the other team's constraints:
Deploying without dependencies creates an incomplete solution, potentially leaving the application non-functional or unstable in PROD. Appian's deployment process ensures all dependencies are included to maintain application integrity, and partial deployments are discouraged unless explicitly planned (e.g., phased rollouts). This option delays resolution and increases risk, contradicting Appian's best practices for Production stability.
Conclusion: Halting the production deployment and contacting the other team for guidance (B) is the next step. It ensures proper collaboration, aligns with Appian's governance model, and prevents deployment errors, providing a safe and effective resolution.
Appian Documentation: "Deployment Best Practices" (Managing Dependencies Across Applications).
Appian Lead Developer Certification: Application Management Module (Cross-Team Collaboration).
Appian Best Practices: "Handling Production Deployments" (Dependency Resolution).
質問 # 34
You are in a backlog refinement meeting with the development team and the product owner. You review a story for an integration involving a third-party system. A payload will be sent from the Appian system through the integration to the third-party system. The story is 21 points on a Fibonacci scale and requires development from your Appian team as well as technical resources from the third-party system. This item is crucial to your project's success. What are the two recommended steps to ensure this story can be developed effectively?
正解：A、D
解説：
Comprehensive and Detailed In-Depth Explanation:
This question involves a complex integration story rated at 21 points on the Fibonacci scale, indicating significant complexity and effort. Appian Lead Developer best practices emphasize effective collaboration, risk mitigation, and manageable development scopes for such scenarios. The two most critical steps are:
Option C (Maintain a communication schedule with the third-party resources):
Integrations with third-party systems require close coordination, as Appian developers depend on external teams for endpoint specifications, payload formats, authentication details, and testing support. Establishing a regular communication schedule ensures alignment on requirements, timelines, and issue resolution. Appian's Integration Best Practices documentation highlights the importance of proactive communication with external stakeholders to prevent delays and misunderstandings, especially for critical project components.
Option D (Break down the item into smaller stories):
A 21-point story is considered large by Agile standards (Fibonacci scale typically flags anything above 13 as complex). Appian's Agile Development Guide recommends decomposing large stories into smaller, independently deliverable pieces to reduce risk, improve testability, and enable iterative progress. For example, the integration could be split into tasks like designing the payload structure, building the integration object, and testing the connection-each manageable within a sprint. This approach aligns with the principle of delivering value incrementally while maintaining quality.
Option A (Acquire testing steps from QA resources): While QA involvement is valuable, this step is more relevant during the testing phase rather than backlog refinement or development preparation. It's not a primary step for ensuring effective development of the story.
Option B (Identify SMEs for UAT): User acceptance testing occurs after development, during the validation phase. Identifying SMEs is important but not a key step in ensuring the story is developed effectively during the refinement and coding stages.
By choosing C and D, you address both the external dependency (third-party coordination) and internal complexity (story size), ensuring a smoother development process for this critical integration.
質問 # 35
You are required to configure a connection so that Jira can inform Appian when specific tickets change (using a webhook). Which three required steps will allow you to connect both systems?
正解：A、B、D
解説：
Comprehensive and Detailed In-Depth Explanation:
Configuring a webhook connection from Jira to Appian requires setting up a mechanism for Jira to push ticket change notifications to Appian in real-time. This involves creating an endpoint in Appian to receive the webhook and configuring Jira to send the data. Appian's Integration Best Practices and Web API documentation provide the framework for this process.
Option A (Create a Web API object and set up the correct security):
This is a required step. In Appian, a Web API object serves as the endpoint to receive incoming webhook requests from Jira. You must define the API structure (e.g., HTTP method, input parameters) and configure security (e.g., basic authentication, API key, or OAuth) to validate incoming requests. Appian recommends using a service account with appropriate permissions to ensure secure access, aligning with the need for a controlled webhook receiver.
Option B (Configure the connection in Jira specifying the URL and credentials):
This is essential. In Jira, you need to set up a webhook by providing the Appian Web API's URL (e.g., https://<appian-site>/suite/webapi/<web-api-name>) and the credentials or authentication method (e.g., API key or basic auth) that match the security setup in Appian. This ensures Jira can successfully send ticket change events to Appian.
Option C (Create a new API Key and associate a service account):
This is necessary for secure authentication. Appian recommends using an API key tied to a service account for webhook integrations. The service account should have permissions to process the incoming data (e.g., write to a process or data store) but not excessive privileges. This step complements the Web API security setup and Jira configuration.
Option D (Give the service account system administrator privileges):
This is unnecessary and insecure. System administrator privileges grant broad access, which is overkill for a webhook integration. Appian's security best practices advocate for least-privilege principles, limiting the service account to the specific objects or actions needed (e.g., executing the Web API).
Option E (Create an integration object from Appian to Jira to periodically check the ticket status):
This is incorrect for a webhook scenario. Webhooks are push-based, where Jira notifies Appian of changes. Creating an integration object for periodic polling (pull-based) is a different approach and not required for the stated requirement of Jira informing Appian via webhook.
These three steps (A, B, C) establish a secure, functional webhook connection without introducing unnecessary complexity or security risks.
The three required steps that will allow you to connect both systems are:
A . Create a Web API object and set up the correct security. This will allow you to define an endpoint in Appian that can receive requests from Jira via webhook. You will also need to configure the security settings for the Web API object, such as authentication method, allowed origins, and access control.
B . Configure the connection in Jira specifying the URL and credentials. This will allow you to set up a webhook in Jira that can send requests to Appian when specific tickets change. You will need to specify the URL of the Web API object in Appian, as well as any credentials required for authentication.
C . Create a new API Key and associate a service account. This will allow you to generate a unique token that can be used for authentication between Jira and Appian. You will also need to create a service account in Appian that has permissions to access or update data related to Jira tickets.
The other options are incorrect for the following reasons:
D . Give the service account system administrator privileges. This is not required and could pose a security risk, as giving system administrator privileges to a service account could allow it to perform actions that are not related to Jira tickets, such as modifying system settings or accessing sensitive data.
E . Create an integration object from Appian to Jira to periodically check the ticket status. This is not required and could cause unnecessary overhead, as creating an integration object from Appian to Jira would involve polling Jira for ticket status changes, which could consume more resources than using webhook notifications. Verified Appian Documentation, section "Web API" and "API Keys".
質問 # 36
You are reviewing the Engine Performance Logs in Production for a single application that has been live for six months. This application experiences concurrent user activity and has a fairly sustained load during business hours. The client has reported performance issues with the application during business hours.During your investigation, you notice a high Work Queue - Java Work Queue Size value in the logs. You also notice unattended process activities, including timer events and sending notification emails, are taking far longer to execute than normal.The client increased the number of CPU cores prior to the application going live.What is the next recommendation?
正解：C
質問 # 37
You have 5 applications on your Appian platform in Production. Users are now beginning to use multiple applications across the platform, and the client wants to ensure a consistent user experience across all applications.
You notice that some applications use rich text, some use section layouts, and others use box layouts. The result is that each application has a different color and size for the header.
What would you recommend to ensure consistency across the platform?
正解：A
解説：
Comprehensive and Detailed In-Depth Explanation:
As an Appian Lead Developer, ensuring a consistent user experience across multiple applications on the Appian platform involves centralizing reusable components and adhering to Appian's design governance principles. The client's concern about inconsistent headers (e.g., different colors, sizes, layouts) across applications using rich text, section layouts, and box layouts requires a scalable, maintainable solution. Let's evaluate each option:
A . Create constants for text size and color, and update each section to reference these values:
Using constants (e.g., cons!TEXT_SIZE and cons!HEADER_COLOR) is a good practice for managing values, but it doesn't address layout consistency (e.g., rich text vs. section layouts vs. box layouts). Constants alone can't enforce uniform header design across applications, as they don't encapsulate layout logic (e.g., a!sectionLayout() vs. a!richTextDisplayField()). This approach would require manual updates to each application's components, increasing maintenance overhead and still risking inconsistency. Appian's documentation recommends using rules for reusable UI components, not just constants, making this insufficient.
B . In the common application, create a rule that can be used across the platform for section headers, and update each application to reference this new rule:
This is the best recommendation. Appian supports a "common application" (often called a shared or utility application) to store reusable objects like expression rules, which can define consistent header designs (e.g., rule!CommonHeader(size: "LARGE", color: "PRIMARY")). By creating a single rule for headers and referencing it across all 5 applications, you ensure uniformity in layout, color, and size (e.g., using a!sectionLayout() or a!boxLayout() consistently). Appian's design best practices emphasize centralizing UI components in a common application to reduce duplication, enforce standards, and simplify maintenance-perfect for achieving a consistent user experience.
C . In the common application, create one rule for each application, and update each application to reference its respective rule:
This approach creates separate header rules for each application (e.g., rule!App1Header, rule!App2Header), which contradicts the goal of consistency. While housed in the common application, it introduces variability (e.g., different colors or sizes per rule), defeating the purpose. Appian's governance guidelines advocate for a single, shared rule to maintain uniformity, making this less efficient and unnecessary.
D . In each individual application, create a rule that can be used for section headers, and update each application to reference its respective rule:
Creating separate rules in each application (e.g., rule!App1Header in App 1, rule!App2Header in App 2) leads to duplication and inconsistency, as each rule could differ in design. This approach increases maintenance effort and risks diverging styles, violating the client's requirement for a "consistent user experience." Appian's best practices discourage duplicating UI logic, favoring centralized rules in a common application instead.
Conclusion: Creating a rule in the common application for section headers and referencing it across the platform (B) ensures consistency in header design (color, size, layout) while minimizing duplication and maintenance. This leverages Appian's application architecture for shared objects, aligning with Lead Developer standards for UI governance.
Appian Documentation: "Designing for Consistency Across Applications" (Common Application Best Practices).
Appian Lead Developer Certification: UI Design Module (Reusable Components and Rules).
Appian Best Practices: "Maintaining User Experience Consistency" (Centralized UI Rules).
The best way to ensure consistency across the platform is to create a rule that can be used across the platform for section headers. This rule can be created in the common application, and then each application can be updated to reference this rule. This will ensure that all of the applications use the same color and size for the header, which will provide a consistent user experience.
The other options are not as effective. Option A, creating constants for text size and color, and updating each section to reference these values, would require updating each section in each application. This would be a lot of work, and it would be easy to make mistakes. Option C, creating one rule for each application, would also require updating each application. This would be less work than option A, but it would still be a lot of work, and it would be easy to make mistakes. Option D, creating a rule in each individual application, would not ensure consistency across the platform. Each application would have its own rule, and the rules could be different. This would not provide a consistent user experience.
Best Practices:
When designing a platform, it is important to consider the user experience. A consistent user experience will make it easier for users to learn and use the platform.
When creating rules, it is important to use them consistently across the platform. This will ensure that the platform has a consistent look and feel.
When updating the platform, it is important to test the changes to ensure that they do not break the user experience.
質問 # 38
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最もリラックスした状態ですべての苦難に直面しています。AppianのACD-301「Appian Certified Lead Developer」試験はとても難しいですが、受験生の皆がリラックスした状態で試験を受けるべきです。。JpexamのAppianのACD-301試験トレーニング資料は私達を助けられます。Jpexamがそばにいてくれると、恐くなくなり、迷わなくなります。JpexamのAppianのACD-301試験トレーニング資料は私達受験生の最良の選択です。
ACD-301認定内容: https://www.jpexam.com/ACD-301_exam.html
さらに、Jpexam ACD-301ダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1lK1-PrRHUilZCESF-oubdFBziTQT1aTV