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You are designing a process that is anticipated to be executed multiple times a day. This process retrieves data from an external system and then calls various utility processes as needed. The main process will not use the results of the utility processes, and there are no user forms anywhere.
Which design choice should be used to start the utility processes and minimize the load on the execution engines?

• A. Start the utility processes via a subprocess synchronously.
• B. Use Process Messaging to start the utility process.
• C. Use the Start Process Smart Service to start the utility processes.
• D. Start the utility processes via a subprocess asynchronously.

You are planning a strategy around data volume testing for an Appian application that queries and writes to a MySQL database. You have administrator access to the Appian application and to the database. What are two key considerations when designing a data volume testing strategy?

• A. The amount of data that needs to be populated should be determined by the project sponsor and the stakeholders based on their estimation.
• B. Large datasets must be loaded via Appian processes.
• C. Data from previous tests needs to remain in the testing environment prior to loading prepopulated data.
• D. Data model changes must wait until towards the end of the project.
• E. Testing with the correct amount of data should be in the definition of done as part of each sprint.

The business database for a large, complex Appian application is to undergo a migration between database technologies, as well as interface and process changes. The project manager asks you to recommend a test strategy. Given the changes, which two items should be included in the test strategy?

• A. Tests for each of the interfaces and process changes
• B. Penetration testing of the Appian platform
• C. A regression test of all existing system functionality
• D. Internationalization testing of the Appian platform
• E. Tests that ensure users can still successfully log into the platform

You are reviewing the Engine Performance Logs in Production for a single application that has been live for six months. This application experiences concurrent user activity and has a fairly sustained load during business hours. The client has reported performance issues with the application during business hours.During your investigation, you notice a high Work Queue - Java Work Queue Size value in the logs. You also notice unattended process activities, including timer events and sending notification emails, are taking far longer to execute than normal.The client increased the number of CPU cores prior to the application going live.What is the next recommendation?

• A. Add more application servers.
• B. Optimize slow-performing user interfaces.
• C. Add execution and analytics shards
• D. Add more engine replicas.

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. Use an Appian Process Model, initiated after every integration, to loop on each item and update it to the business requirements.
• B. Build a complex and optimized view (relevant indices, efficient joins, etc.), and use it every time a user needs to use the data.
• C. Create a set of stored procedures to handle the volume and the complexity of the expectations, and call it after each integration.
• 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.