APPIAN LEAD DEVELOPER EXAM AND CERTIFICATION EXAM NEWEST ACTUAL
EXAM COMPLETE (Latest ) (A+ Guarantee)
Successful first projects deliver results that are: - ✔ANSWER Quick, short time-to-impact
reducing the likelihood of losing momentum
- measurable, giving leaders confidence to approve further projects
- contagious, with a compelling solution triggering rapid user adoption
Three Anti Patterns to Avoid - ✔ANSWER 1. Custom Task Management
2. Custom User Interfaces (3rd party UX)
3. Avoid data only applications (extracting, transforming, loading)
Appian Task Plugins - ✔ANSWER 1. Task Reassignments - allow users to reassign multiple
active tasks
2. Task Functions - allow devs to retrieve most task details and attributes by using a set of
functions with task ID as input
3. Task Management Smart Services - contains smart services to manipulating tasks in process
and custom functions for task metadata
Data - only processes can slow the system. Particularly if they are running during business hours
- ✔ANSWER True
Mitigation Strategies to reduce impact of data-only processes on performance for other active
users - ✔ANSWER 1.Data Management (Delete process instance immediately after process
completed)
2. Make process variables "hidden" to limit data replication for reports
3. Avoid load bulk data to system during business hours
4. Do not store data to process variables
, Record Centric Design - Steps - ✔ANSWER - Start with key building blocks of data in a
relational database
- Use an entity-backed record type that allows users to list, search, filter, and drill down into
data in that entity
- Attach an action to allow users to create new records
- Use related actions to enable record update and status changes
- Repeat this process for each key resource that needs to be managed
Query Anti Patterns to Avoid - ✔ANSWER 1. Should not keep "batchSize" as -1 (this will try
to fetch all data
2. Unsorted query results (keep primary key as sort ID)
3. "ends with" filtering conditions
4. Using 50 or more operators using "in" operations, will result in very slow query
When Query will break with error - ✔ANSWER Query breaks if data returned is >1MB or
takes >10 seconds
DB Design practices to follow - ✔ANSWER 1. Implement locking mechanism for DB updated
to avoid race conditions
2. Load test your applications with roughly three times anticipated first year's worth of data
3. Avoid designing queries that are unbounded or slow
In addition to entity locks table to resist concurrent table update attempts, "optimistic locking"
can be used to prevent the writing of stale data. Using the following annotations - ✔ANSWER
@version and @column
What process related information stored in memory - ✔ANSWER 1. Process variables
2. Task properties
3. Process properties
, 4. Process history
Process Data management best practices - ✔ANSWER 1. Processes with task data: 3 days
2. Processes that are automated/utility: delete after completion
Running the sub processes as "sub process" node will always run in the same process execution
engine - ✔ANSWER true
Running the sub processes as "start process" node will always run in the same process
execution engine - ✔ANSWER true
project factors - project complications - ✔ANSWER 1. extensive data ETL
2. complex data visualization across systems
3. complex data manipulation
4. backend process management
project factors - success factors - ✔ANSWER 1. automate complex processes
2. access data from/send to legacy systems
3. create unified user experience across systems
4. deliver functionality rapidly
5. support business processes across the organization
6. enable target users access to multiple systems
7. integrate pre-built or custom built AI systems
8. engage or inform multiple stakeholders across workflows
9. perform mobile data entry
project factors - first step to selecting a successful project - ✔ANSWER Finding
opportunities to address business processes
EXAM COMPLETE (Latest ) (A+ Guarantee)
Successful first projects deliver results that are: - ✔ANSWER Quick, short time-to-impact
reducing the likelihood of losing momentum
- measurable, giving leaders confidence to approve further projects
- contagious, with a compelling solution triggering rapid user adoption
Three Anti Patterns to Avoid - ✔ANSWER 1. Custom Task Management
2. Custom User Interfaces (3rd party UX)
3. Avoid data only applications (extracting, transforming, loading)
Appian Task Plugins - ✔ANSWER 1. Task Reassignments - allow users to reassign multiple
active tasks
2. Task Functions - allow devs to retrieve most task details and attributes by using a set of
functions with task ID as input
3. Task Management Smart Services - contains smart services to manipulating tasks in process
and custom functions for task metadata
Data - only processes can slow the system. Particularly if they are running during business hours
- ✔ANSWER True
Mitigation Strategies to reduce impact of data-only processes on performance for other active
users - ✔ANSWER 1.Data Management (Delete process instance immediately after process
completed)
2. Make process variables "hidden" to limit data replication for reports
3. Avoid load bulk data to system during business hours
4. Do not store data to process variables
, Record Centric Design - Steps - ✔ANSWER - Start with key building blocks of data in a
relational database
- Use an entity-backed record type that allows users to list, search, filter, and drill down into
data in that entity
- Attach an action to allow users to create new records
- Use related actions to enable record update and status changes
- Repeat this process for each key resource that needs to be managed
Query Anti Patterns to Avoid - ✔ANSWER 1. Should not keep "batchSize" as -1 (this will try
to fetch all data
2. Unsorted query results (keep primary key as sort ID)
3. "ends with" filtering conditions
4. Using 50 or more operators using "in" operations, will result in very slow query
When Query will break with error - ✔ANSWER Query breaks if data returned is >1MB or
takes >10 seconds
DB Design practices to follow - ✔ANSWER 1. Implement locking mechanism for DB updated
to avoid race conditions
2. Load test your applications with roughly three times anticipated first year's worth of data
3. Avoid designing queries that are unbounded or slow
In addition to entity locks table to resist concurrent table update attempts, "optimistic locking"
can be used to prevent the writing of stale data. Using the following annotations - ✔ANSWER
@version and @column
What process related information stored in memory - ✔ANSWER 1. Process variables
2. Task properties
3. Process properties
, 4. Process history
Process Data management best practices - ✔ANSWER 1. Processes with task data: 3 days
2. Processes that are automated/utility: delete after completion
Running the sub processes as "sub process" node will always run in the same process execution
engine - ✔ANSWER true
Running the sub processes as "start process" node will always run in the same process
execution engine - ✔ANSWER true
project factors - project complications - ✔ANSWER 1. extensive data ETL
2. complex data visualization across systems
3. complex data manipulation
4. backend process management
project factors - success factors - ✔ANSWER 1. automate complex processes
2. access data from/send to legacy systems
3. create unified user experience across systems
4. deliver functionality rapidly
5. support business processes across the organization
6. enable target users access to multiple systems
7. integrate pre-built or custom built AI systems
8. engage or inform multiple stakeholders across workflows
9. perform mobile data entry
project factors - first step to selecting a successful project - ✔ANSWER Finding
opportunities to address business processes
