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To identify the internal commands that Qlik Replicate is executing prior to an error, theTracelogging level should be used.This level provides detailed information about the operations being performed by Qlik Replicate, including the internal commands executed before an error occurs1.

Here’s how the Trace logging level works in Qlik Replicate:

When logging is set toTrace, the log lines are identified with]T:.This indicates that the log will include detailed trace information about the internal workings of Qlik Replicate, such as sending control records to components or waiting for termination of threads1.

The Trace level is more detailed than Warnings (]W:) and Errors (]E:), which only show warning and error messages without the detailed context of the operations leading up to them1.

The Trace level is also distinct from Verbose (]V:), which provides even more detailed logging information but may not be necessary for identifying the commands leading up to an error1.

Therefore, the correct answer isC. Trace, as it is the appropriate logging level to use when you need to analyze the actions performed by Qlik Replicate just before an error occurs1.

For stream endpoint types like Kafka or Azure Event Hubs in Qlik Replicate, there are specific limitations that apply to the replication options and target table preparation options:

D. The Store Changes replication option is not supported: This limitation is explicitly mentioned for Kafka1and Azure Event Hubs23. The Store Changes mode is not supported when using these stream endpoints, meaning that changes cannot be stored for later retrieval or reporting.

E. The DROP and CREATE table target table preparation option is not supported: This is also a known limitation for Kafka as a target endpoint1. The Drop and Create table Target Table Preparation option is not supported, which affects how tables are prepared on the target side during replication.

The other options are not correct because:

A. The Apply Changes replication option is not supported: This is not listed as a limitation for Kafka or Azure Event Hubs.

B. The Full Load replication option is not supported: Full Load is supported for Kafka1.

C. Associated tasks filling those endpoint types cannot be stopped: This is not mentioned as a limitation, and tasks can typically be stopped unless otherwise specified.

For more detailed information on the limitations of using Kafka or Azure Event Hubs as target endpoints in Qlik Replicate, you can refer to the official Qlik documentation123.

When performing a Full Load to a target endpoint in Qlik Replicate, the task logging components that are associated with this process areTARGET_LOADandSOURCE_UNLOAD.

TARGET_LOAD: This component is responsible for loading the data into the target endpoint.It represents the process where Qlik Replicate reads all columns/rows from the Source database and creates the exact same copy on the Target database1.

SOURCE_UNLOAD: This component is involved in unloading the data from the source endpoint.It is part of the Full Load process where the data is read from the source and prepared for transfer to the target2.

The other options provided are not directly associated with the Full Load process to a target endpoint:

TARGET_APPLYis related to the Change Data Capture (CDC) phase where changes from the source are applied to the target2.

FILE_TRANSFERis not a term directly associated with Qlik Replicate’s logging components.

STREAMrefers to the Log Stream tasks, which is a different type of task configuration used for saving data changes from the transaction log of a single source database and applying them to multiple targets2.

For a comprehensive understanding of the task types and options in Qlik Replicate, you can refer to the official Qlik community articles onQlik Replicate Task Configuration OptionsandAn Introduction to Qlik Replicate Tasks: Full Load vs CDC.