Appian ACD200 Exam With Confidence Using Practice Dumps

 The data_store_details.csv log provides information about the performance of query entities. The log shows the time spent in three phases: extract, transform, and load. The extract phase is the time it takes to execute the SQL query on the database. The transform phase is the time it takes to convert the SQL result set into Appian data types. The load phase is the time it takes to return the data to the expression that invoked the query entity. To reduce the time spent in the transform phase, two possible actions are to reduce the number of columns returned from the query and to lower the batch size parameter of the query. These actions can decrease the amount of data that needs to be converted and transferred, which can improve the performance of the query entity. Therefore, the correct answers are B and D.

References:

• Query Entity Performance
• a!queryEntity() Function

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.

 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]