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

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. Optimize the database execution. Replace the view with a materialized view.
• 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. Reduce the batch size for database queues to 10.

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

As part of your implementation workflow, users need to retrieve data stored in a third-party Oracle database on an interface. You need to design a way to query this information.
How should you set up this connection and query the data?

• A. Configure a timed utility process that queries data from the third-party database daily, and stores it in the Appian business database. Then use a!queryEntity using the Appian data source to retrieve the data.
• B. In the Administration Console, configure the third-party database as a "New Data Source." Then, use a!queryEntity to retrieve the data.
• C. Configure a Query Database node within the process model. Then, type in the connection information, as well as a SQL query to execute and return the data in process variables.
• D. Configure an expression-backed record type, calling an API to retrieve the data from the third-party database. Then, use a!queryRecordType to retrieve the data.