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Appian Certified Lead Developer Sample Questions:

1. Your Appian project just went live with the following environment setup: DEV > TEST (SIT/UAT) > PROD. Your client is considering adding a support team to manage production defects and minor enhancements, while the original development team focuses on Phase 2. Your client is asking you for a new environment strategy that will have the least impact on Phase 2 development work. Which option involves the lowest additional server cost and the least code retrofit effort?

A) Phase 2 development work stream: DEV > TEST (SIT/UAT) > PROD
B) Phase 2 development work stream: DEV > TEST (SIT/UAT) > PROD
C) Phase 2 development work stream: DEV > TEST (SIT) > STAGE (UAT) > PROD
D) Phase 2 development work stream: DEV > TEST (SIT) > STAGE (UAT) > PROD

2. Your team has deployed an application to Production with an underperforming view. Unexpectedly, the production data is ten times that of what was tested, and you must remediate the issue. What is the best option you can take to mitigate their performance concerns?

A) Bypass Appian's query rule by calling the database directly with a SQL statement.
B) Create a materialized view or table.
C) Create a table which is loaded every hour with the latest data.
D) Introduce a data management policy to reduce the volume of 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 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.
C) 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.
D) 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.

4. As part of an upcoming release of an application, a new nullable field is added to a table that contains customer dat a. The new field is used by a report in the upcoming release and is calculated using data from another table.
Which two actions should you consider when creating the script to add the new field?

A) Create a script that adds the field and leaves it null.
B) Create a rollback script that removes the field.
C) Add a view that joins the customer data to the data used in calculation.
D) Create a rollback script that clears the data from the field.
E) Create a script that adds the field and then populates it.

5. Review the following result of an explain statement:

Which two conclusions can you draw from this?

A) The worst join is the one between the table order_detail and order.
B) The join between the tables 0rder_detail and product needs to be fine-tuned due to Indices
C) The join between the tables order_detail, order and customer needs to be tine-tuned due to indices.
D) The request is good enough to support a high volume of data. but could demonstrate some limitations if the developer queries information related to the product
E) The worst join is the one between the table order_detail and customer

Solutions: