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Last Updated: Jun 22, 2026
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1. 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?
A) 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.
B) Create constants for text size and color, and update each section to reference these values.
C) In each individual application, create a rule that can be used for section headers, and update each application to reference its respective rule.
D) In the common application, create one rule for each application, and update each application to reference its respective rule.
2. A customer wants to integrate a CSV file once a day into their Appian application, sent every night at 1:00 AM. The file contains hundreds of thousands of items to be used daily by users as soon as their workday starts at 8:00 AM. Considering the high volume of data to manipulate and the nature of the operation, what is the best technical option to process the requirement?
A) Build a complex and optimized view (relevant indices, efficient joins, etc.), and use it every time a user needs to use the data.
B) Create a set of stored procedures to handle the volume and the complexity of the expectations, and call it after each integration.
C) Use an Appian Process Model, initiated after every integration, to loop on each item and update it to the business requirements.
D) Process what can be completed easily in a process model after each integration, and complete the most complex tasks using a set of stored procedures.
3. 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) Ask the developer to convert the original customer section into a shared object so it can be used by the new application.
B) 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.
C) Create a duplicate version of that section designed for the campaign record.
D) Provide guidance to the developer on how to address the issues so that they can proceed with their work.
4. 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?
A) Push a functionally viable package to PROD without the dependencies, and plan the rest of the deployment accordingly with the other team's constraints.
B) Check the dependencies of the necessary object. Deploy to PROD if there are few dependencies and it is low risk.
C) Halt the production deployment and contact the other team for guidance on promoting the object to PROD.
D) Create your own object with the same code base, replace the dependent object in the application, and deploy to PROD.
5. On the latest Health Check report from your Cloud TEST environment utilizing a MongoDB add-on, you note the following findings:
Category: User Experience, Description: # of slow query rules, Risk: High Category: User Experience, Description: # of slow write to data store nodes, Risk: High Which three things might you do to address this, without consulting the business?
A) Optimize the database execution using standard database performance troubleshooting methods and tools (such as query execution plans).
B) Reduce the batch size for database queues to 10.
C) Use smaller CDTs or limit the fields selected in a!queryEntity().
D) Reduce the size and complexity of the inputs. If you are passing in a list, consider whether the data model can be redesigned to pass single values instead.
E) Optimize the database execution. Replace the view with a materialized view.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: A,C,D |
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