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Appian ACD201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Platform and Application Management12%- Deployment preparation, testing, and performance validation
- Administration Console configuration and usage
- Monitoring and troubleshooting applications using logs and performance dashboards
Topic 2: Data Management20%- Data modeling and relational design in Appian applications
- Record types and external data integration
Topic 3: Application Design and Development28%- Application architecture and scalable design patterns
- Process models, interfaces, and reusable components
Topic 4: Advanced Appian Concepts18%- Expression rules and advanced configurations
- Web APIs and integrations
- Security and access control design
Topic 5: Performance & Scalability22%- Scalable application architecture
- Query optimization and performance tuning
- Process and interface performance optimization

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Appian Senior Developer Sample Questions (Q58-Q63):

NEW QUESTION # 58
You have designed a three-step 'Wizard' form interaction using user input tasks in the process model. The second step of the Wizard must utilize another process model which contains a user input task inside.
Which two methods should be implemented for a seamless Wizard-like interaction for the user? (Choose two.)

Answer: B,D

Explanation:
Enabling activity-chaining between all nodes on the main process model ensures the wizard steps flow seamlessly for the user.
Using a subprocess to call the second process model allows the main process to incorporate its user input task as part of the wizard flow with activity-chaining support.


NEW QUESTION # 59
After reviewing the latest Expression performance logs, you notice you have several expressions contributing to slow interface or process performance.
Which two conditions will lead to a higher risk associated with slow-performing expressions? (Choose two.)

Answer: B,C

Explanation:
When the expression is used frequently or by many concurrent users.
A slow-running rule that executes a large number of times - or is triggered by many users at once - multiplies its performance impact, raising the overall risk flagged in the expression-performance logs.
When the expression is a custom function plug-in.
Custom Java plug-ins can introduce additional processing overhead (or poorly optimized code). If such functions are slow, they typically appear near the top of performance logs and carry a higher risk score.


NEW QUESTION # 60
You're building an order management system.
You need to create a field that displays the total number of days it took to deliver each order, and show and sort by this data in a read-only grid. The data must be available in real-time.
Which function is the most appropriate for calculating this value?

Answer: A

Explanation:
a!customFieldDateDiff() is specifically designed for calculating date differences as custom record fields, enabling sorting and real-time calculation in read-only grids.


NEW QUESTION # 61
An energy company wants to allow the public to be able to report power outages directly and provide supporting documentation in the form of photos and/or videos. The company also requires the reporter's contact details.
How can a developer design and implement this requirement in Appian?

Answer: C

Explanation:
A portal interacting with records can capture public outage reports, contact details, and upload supporting documents to a defined folder, making the process accessible to the public without requiring authentication.


NEW QUESTION # 62
You're creating an interface to display all the employees of a company on a staff list.
You decide to use a!gridField() to create a user grid to display information from the company's AAA_Employee record, which has 42 fields relating to various employee information. To avoid cluttering the grid, you want to show six (6) fields on the grid.
How should you optimize the interface?

Answer: C

Explanation:
Querying the AAA_Employee record with a!queryRecordType(), specifying only the six fields needed in the fields parameter, optimizes data retrieval and improves grid performance by minimizing unnecessary data loading.


NEW QUESTION # 63
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