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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Management | 25% | - Data model design and documentation - Record type selection and optimization - Data security and access control - Relational data integration and complex data modeling |
| Topic 2: Platform and Application Management | 20% | - Deployment planning, technical review and testing - Administration Console configuration - Application troubleshooting using logs, dashboards and tools - Environment configuration and maintenance |
| Topic 3: Advanced Appian Concepts & Integrations | 15% | - External system connectivity and data exchange - Smart services, plug-ins and custom extensions - Authentication and SSO configuration (SAML, LDAP) - Integration objects and API design |
| Topic 4: Application Design and Development | 25% | - Translate business requirements into application design - Object security and permission management - End-to-end application development and implementation - User experience and interface design best practices |
| Topic 5: Performance, Scalability & Troubleshooting | 15% | - Issue resolution and performance monitoring - Load testing and performance analysis - Performance optimization techniques - Memory-efficient design and database optimization |
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NEW QUESTION # 100
What should be prioritized when reviewing an application's health status using the Admin Console?
Response:
Answer: D
NEW QUESTION # 101
How do SAML and LDAP support single sign-on (SSO) in enterprise applications?
Response:
Answer: C,D
NEW QUESTION # 102
Which of the following are potential challenges when using plug-ins in Appian?
(Choose three)
Response:
Answer: A,C,D
NEW QUESTION # 103
An insurance company's product details are currently distributed across numerous database tables, encompassing over 60 to 70 fields.
You need to implement a product comparison tool for business users to compare up to three insurance products simultaneously, with all the product details in a tabular format.
Refer to the following sample format:
Which object should be used to transform the data into the required format?
Answer: A
Explanation:
Database views are ideal for transforming complex, distributed product data into a single, flattened structure tailored for reporting or comparison. In this case, a view can pivot the 60-70 fields and organize them by attribute (e.g., Name, Type, Premium) across multiple product columns, enabling a tabular comparison layout like the one shown. Views also optimize performance and reduce transformation overhead in the interface layer.
NEW QUESTION # 104
Which factor contributes to user-facing performance concerns in Appian applications?
Response:
Answer: D
NEW QUESTION # 105
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