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Appian Certified Lead Developer Sample Questions:

1. 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) Add execution and analytics shards
C) Add more engine replicas.
D) Optimize slow-performing user interfaces.

2. You need to design a complex Appian integration to call a RESTful API. The RESTful API will be used to update a case in a customer's legacy system.
What are three prerequisites for designing the integration?

A) Define the HTTP method that the integration will use.
B) Understand the different error codes managed by the API and the process of error handling in Appian.
C) Understand whether this integration will be used in an interface or in a process model.
D) Understand the content of the expected body, including each field type and their limits.
E) Understand the business rules to be applied to ensure the business logic of the data.

3. You have an active development team (Team A) building enhancements for an application (App X) and are currently using the TEST environment for User Acceptance Testing (UAT).
A separate operations team (Team B) discovers a critical error in the Production instance of App X that they must remediate. However, Team B does not have a hotfix stream for which to accomplish this. The available environments are DEV, TEST, and PROD.
Which risk mitigation effort should both teams employ to ensure Team A's capital project is only minorly interrupted, and Team B's critical fix can be completed and deployed quickly to end users?

A) Team B must communicate to Team A which component will be addressed in the hotfix to avoid overlap of changes. If overlap exists, the component must be versioned to its PROD state before being remediated and deployed, and then versioned back to its latest development state. If overlap does not exist, the component may be remediated and deployed without any version changes.
B) Team A must analyze their current codebase in DEV to merge the hotfix changes into their latest enhancements. Team B is then required to wait for the hotfix to follow regular deployment protocols from DEV to the PROD environment.
C) Team B must address the changes directly in PRO As there is no hotfix stream, and DEV and TEST are being utilized for active development, it is best to avoid a conflict of components. Once Team A has completed their enhancements work, Team B can update DEV and TEST accordingly.
D) Team B must address changes in the TEST environment. These changes can then be tested and deployed directly to PROD. Once the deployment is complete, Team B can then communicate their changes to Team A to ensure they are incorporated as part of the next release.

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

5. You add an index on the searched field of a MySQL table with many rows (>100k). The field would benefit greatly from the index in which three scenarios?

A) The field contains big integers, above and below 0.
B) The field contains a textual short business code.
C) The field contains long unstructured text such as a hash.
D) The field contains a structured JSON.
E) The field contains many datetimes, covering a large range.

Solutions: