ACD200 Exam Dumps : Appian Certified Senior Developer

 The metric from the data_store_details.csv file that will help you understand the number of operations against data store is Total Count. This metric represents the total number of queries, inserts, updates, deletes, and executes performed against the data store during the specified time period. You can use this metric to identify which data stores are heavily used and may need performance tuning or scaling. References: [Data Store Details Report], [Data Store Metrics]

The question is about the recommendations for Appian environment to address the performance risk of a large increase in users. The following are two recommendations for this purpose:

• Add more process execution engines. This means adding more servers or nodes that can execute process instances in parallel, which can improve the scalability and availability of Appian. This can help handle the increased workload and demand from more users without affecting the response time or reliability of Appian.
• Add more application server memory. This means increasing the amount of memory allocated to each server or node that runs Appian components, such as web servers, engines, or analytics servers. This can help improve the performance and stability of Appian by reducing memory pressure and garbage collection.

The following are not recommendations for Appian environment to address the performance risk of a large increase in users:

• Add more design engines. This means adding more servers or nodes that can execute expression rules or interface components in parallel, which can improve the performance and scalability of Appian. However, this is not directly related to the number of users, but rather to the complexity and frequency of expression rules or interface components in the application.
• Switch from a records-centric to a process-centric design. This means changing the application design to focus more on process models and tasks, rather than records and reports. This does not affect the Appian environment, but rather the application logic and functionality. This may or may not improve the performance of the application, depending on the requirements and use cases.

References:

• Process Execution Engines
• Memory Recommendations
• Design Engines
• Records-Centric vs Process-Centric Design

A connected system is an Appian object that is designed to allow you to share base URL and authentication details across multiple integrations4. A connected system represents an external system that is integrated with Appian. Connected systems allow you to easily connect to external integrations and data sources. They also allow you to deploy connection information across environments and use different connection information for each environment. You can choose from different types of connected systems, such as HTTP, SQL, or pre-built connected systems for common services like Google Drive or Salesforce5.