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Appian ACD301 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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.
Topic 4	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.

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Appian Lead Developer Sample Questions (Q45-Q50):

NEW QUESTION # 45
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 script that adds the field and then populates it.
C. Create a rollback script that removes the field.
D. Add a view that joins the customer data to the data used in calculation.
E. Create a rollback script that clears the data from the field.

Answer: B,C

Explanation:
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).

NEW QUESTION # 46
You need to export data using an out-of-the-box Appian smart service. Which two formats are available (or data generation?

A. Excel
B. JSDN
C. CSV
D. XML

Answer: A,C

Explanation:
The two formats that are available for data generation using an out-of-the-box Appian smart service are:
* A. CSV. This is a comma-separated values format that can be used to export data in a tabular form, such as records, reports, or grids. CSV files can be easily opened and manipulated by spreadsheet applications such as Excel or Google Sheets.
* C. Excel. This is a format that can be used to export data in a spreadsheet form, with multiple worksheets, formatting, formulas, charts, and other features. Excel files can be opened by Excel or other compatible applications.
The other options are incorrect for the following reasons:
* B. XML. This is a format that can be used to export data in a hierarchical form, using tags and attributes to define the structure and content of the data. XML files can be opened by text editors or XML parsers, but they are not supported by the out-of-the-box Appian smart service for data generation.
* D. JSON. This is a format that can be used to export data in a structured form, using objects and arrays to represent the data. JSON files can be opened by text editors or JSON parsers, but they are not supported by the out-of-the-box Appian smart service for data generation. Verified References: Appian Documentation, section "Write to Data Store Entity" and "Write to Multiple Data Store Entities".

NEW QUESTION # 47
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?

A. Configure the connection in Jira specifying the URL and credentials.
B. Give the service account system administrator privileges.
C. Create an integration object from Appian to Jira to periodically check the ticket status.
D. Create a new API Key and associate a service account.
E. Create a Web API object and set up the correct security.

Answer: A,D,E

NEW QUESTION # 48
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. Group epics and stories by feature, and allocate work between each team by feature.
C. Allocate stories to each team based on the cumulative years of experience of the team members.
D. Have each team choose the stories they would like to work on based on personal preference.

Answer: B

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.
References:Appian Documentation - Agile Development with Appian, Scrum Guide - Multi-Team Coordination, Appian Lead Developer Training - Team Management Strategies.

NEW QUESTION # 49
Your client's customer management application is finally released to Production. After a few weeks of small enhancements and patches, the client is ready to build their next application. The new application will leverage customer information from the first application to allow the client to launch targeted campaigns for select customers in order to increase sales. As part of the first application, your team had built a section to display key customer information such as their name, address, phone number, how long they have been a customer, etc. A similar section will be needed on the campaign record you are building. One of your developers shows you the new object they are working on for the new application and asks you to review it as they are running into a few issues. What feedback should you give?

A. Create a duplicate version of that section designed for the campaign record.
B. Provide guidance to the developer on how to address the issues so that they can proceed with their work.
C. Ask the developer to convert the original customer section into a shared object so it can be used by the new application.
D. Point the developer to the relevant areas in the documentation or Appian Community where they can find more information on the issues they are running into.

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:
The scenario involves reusing a customer information section from an existing application in a new application for campaign management, with the developer encountering issues. Appian's best practices emphasize reusability, efficiency, and maintainability, especially when leveraging existing components across applications.
Option B (Ask the developer to convert the original customer section into a shared object so it can be used by the new application):
This is the recommended approach. Converting the original section into a shared object (e.g., a reusable interface component) allows it to be accessed across applications without duplication. Appian's Design Guide highlights the use of shared components to promote consistency, reduce redundancy, and simplify maintenance. Since the new application requires similar customer data (name, address, etc.), reusing the existing section-after ensuring it is modular and adaptable-addresses the developer's issues while aligning with the client's goal of leveraging prior work. The developer can then adjust the shared object (e.g., via parameters) to fit the campaign context, resolving their issues collaboratively.
Option A (Provide guidance to the developer on how to address the issues so that they can proceed with their work):
While providing guidance is valuable, it doesn't address the root opportunity to reuse existing code. This option focuses on fixing the new object in isolation, potentially leading to duplicated effort if the original section could be reused instead.
Option C (Point the developer to the relevant areas in the documentation or Appian Community where they can find more information on the issues they are running into):
This is a passive approach and delays resolution. As a Lead Developer, offering direct support or a strategic solution (like reusing components) is more effective than redirecting the developer to external resources without context.
Option D (Create a duplicate version of that section designed for the campaign record):
Duplication violates Appian's principle of DRY (Don't Repeat Yourself) and increases maintenance overhead. Any future updates to customer data display logic would need to be applied to multiple objects, risking inconsistencies.
Given the need to leverage existing customer information and the developer's issues, converting the section to a shared object is the most efficient and scalable solution.

NEW QUESTION # 50
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