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| Section | Weight | Objectives |
|---|---|---|
| Advanced Appian Concepts | 18% | - Design and implement integrations and APIs - Configure authentication and SSO - Apply advanced expression and rule logic - Evaluate and use smart services and plug-ins |
| Performance and Scalability | 22% | - Apply caching and data optimization strategies - Monitor and tune system performance - Design for scalability and high availability - Optimize application performance |
| Data Management | 20% | - Optimize and secure record types - Work with relational data and transformations - Implement complex data structures and integrations - Design and document data models |
| Platform and Application Management | 28% | - Manage application deployment and versioning - Troubleshoot applications using logs, dashboards and tools - Configure Administration Console - Apply security and permission models |
| Application Design and Development | 28% | - Manage object security and reusability - Build end-to-end applications - Translate requirements into technical design - Apply UX and design best practices |
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NEW QUESTION # 97
Users are experiencing slow load times when retrieving customer records with many transactions.
After using performance monitoring tools, you discover that the following interface definition is responsible for the majority of page load time:
Additionally, both queries (rule!APP_GetTransactionsWithFilters and rule!
APP_GetTransactionTypeWithFilters) take approximately 25 milliseconds each to execute when you test them using the expression editor.
Which action would result in the greatest reduction in the load time for this interface component?
Answer: C
Explanation:
Prefetching all transaction types once (instead of running a separate query for each row in the grid) and then using the displayvalue() function to display the corresponding transaction type name for each transaction will significantly reduce the number of queries executed. This eliminates the N+1 query problem and will greatly improve the interface load time.
NEW QUESTION # 98
What are three ways to optimize the memory usage of a process model? (Choose three.)
Answer: A,C,E
Explanation:
Passing data directly to activity nodes and smart services reduces unnecessary use of process variables, optimizing memory.
Configuring process variables as parameters limits their lifespan and persistence, saving memory.
Avoiding large blocks of text in process variables minimizes memory consumption within the process model.
NEW QUESTION # 99
You need to update an existing Appian application.
The application needs to be responsive and compatible with a variety of screen widths. For example: phone
/tablet browser, Appian mobile app, desktop monitor.
Which two functions/parameters should you consider when updating the interfaces? (Choose two.)
Answer: A,B
Explanation:
The stackWhen parameter in layout components helps interfaces adapt to different screen sizes by controlling when columns or side-by-side layouts stack vertically.
The a!isNativeMobile() function detects if the interface is being viewed on a native mobile app, allowing you to tailor the interface for mobile responsiveness.
NEW QUESTION # 100
Match each action you want to perform to the appropriate log type.
Each log type will be used once or not at all. To change your responses, you may deselect your response by clicking the blank space at the top of the selection list.
Answer:
Explanation:
Explanation:
NEW QUESTION # 101
A view is created with the primary table PERSON and is joined using a left join with the APPOINTMENT table on the column "PERSON_ID". There is a one-to-many relationship between the PERSON and APPOINTMENT tables.
A Custom Data Type (CDT) and a data store entity have been created based on this view, with the primary key being "PERSON_ID".
Review the data presented in the PERSON and APPOINTMENT tables:
Which two statements are true when the following query entity is executed? (Choose two.)
Answer: C,D
Explanation:
Appian makes an additional query to the database (other than the main query for data) to retrieve the totalCount when fetchTotalCount: true() is used.
The result totalCount is 1, as there is only one person (PERSON_ID 1101) being filtered, even though there are multiple "New" appointments for that person; with a CDT based on PERSON_ID as the primary key, only one row is counted per person.
NEW QUESTION # 102
......
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