Questions no: 38 Verified Answer: = B. Admin

Explanation: Step by Step Comprehensive and Detailed Explanation with all Reference: = In Qlik Replicate, different user roles are assigned specific permissions that dictate what tasks they can perform within the system. To import tasks into Qlik Replicate, a user must have the Admin role. Here's the breakdown of permissions for each role related to task management:

Admin: This role has the highest level of permissions, including the ability to import tasks. Users with the Admin role can perform all operations within Qlik Replicate, such as creating, designing, deleting, exporting, and importing tasks1.

Designer: Users with this role can create and design tasks but do not have permission to import tasks.

Operator: This role allows users to perform runtime operations like start, stop, or reload targets but does not include permissions to import tasks.

Viewer: Users with the Viewer role can view task history and other details but cannot perform task management operations like importing tasks.

Therefore, the correct answer is B. Admin, as only users with the Admin role are granted the permission to import tasks into Qlik Replicate1.

When the ''Apply batched changes to multiple tables concurrently'' option is enabled in a Qlik Replicate task, the attrep_apply_exception control table stores specific information related to change processing errors. The details stored in this table include:

TASK_NAME: The name of the Qlik Replicate task.

TABLE_NAME: The name of the table.

ERROR_TIME (in UTC): The time the exception (error) occurred.

STATEMENT: The statement that was being executed when the error occurred.

ERROR: The actual error message1.

This information is crucial for troubleshooting and resolving issues that may arise during the replication process. The data in the attrep_apply_exception table is never deleted, ensuring a persistent record of all exceptions1.

The other options do not accurately reflect the information stored in the attrep_apply_exception control table:

A and B mention ''Warning_Time,'' which is not a column in the table.

D is incorrect because the table does store information about errors.

For more detailed information on the attrep_apply_exception control table and its role in handling change processing errors, you can refer to the official Qlik Replicate documentation1.

When a Qlik Replicate developer encounters errors about a duplicate key when applying INSERT, the first step to identify and resolve the issue is to:

A . Check the error message in the Apply Exceptions control table: This control table contains detailed information about any exceptions that occur during the apply process, including duplicate key errors. By examining the error messages, the developer can understand the cause of the issue and take appropriate action to resolve it1.

The process involves:

Accessing the Qlik Replicate Console.

Navigating to the task that is experiencing the issue.

Opening the Apply Exceptions control table to review the error messages related to the duplicate key issue.

Analyzing the error details to determine the cause, such as whether it's due to a source data problem or a target schema constraint.

The other options are not the correct initial steps for identifying the issue:

B . Stop and reload the task: This action might temporarily bypass the error but does not address the root cause of the duplicate key issue.

C . Stop task and enable the Apply Exceptions control table: The Apply Exceptions control table should already be enabled and checked for errors as the first step.

D . Stop and resume the task: Resuming the task without identifying the cause of the error will likely result in the error reoccurring.

For more information on how to troubleshoot and handle duplicate key errors in Qlik Replicate, you can refer to the official Qlik community articles and support resources that provide guidance on error handling and the use of the Apply Exceptions control table2.

When merging databases, especially of such large sizes (12 TB and 15 TB), it is crucial to ensure data integrity and consistency. The recommended approach is to:

Stop the Replication Task: This is important to prevent any changes from being replicated to the target while the IBM load process is ongoing.

Perform the IBM Load: Execute the IBM load to merge the database into the existing database.

Resume the Replication Task: Once the IBM load has been successfully completed, the replication task can be resumed.

This approach ensures that the data loaded via IBM load is not missed or duplicated in the target database. It also allows Qlik Replicate to continue capturing changes from the point where the task was stopped, thus maintaining the continuity of the replication process.

It's important to note that creating a new task after the IBM load (Option D) could lead to complexities in managing the data consistency and might require additional configuration. Continuing to run the task (Option C) could result in conflicts or data integrity issues during the load process. Therefore, Option B is the safest and most reliable approach to ensure a smooth merge of the databases.

For further details and best practices, you can refer to the official Qlik Replicate documentation and support articles which provide guidance on similar scenarios1234.

The SOURCE_UNLOAD component is responsible for reading data from the source endpoint.

The TARGET_LOAD component is responsible for writing the data to the target endpoint.

These components work in tandem during the Full Load replication process to move data from the source to the target. According to Qlik Replicate documentation, these two components are crucial in handling the extraction and loading phases of Full Load replication.

In the context of Full Load replication with Qlik Replicate, the components responsible for reading data from the source and writing it to the target are:

SOURCE_UNLOAD: This component is responsible for unloading data from the source endpoint. It extracts the data that needs to be replicated to the target system1.

TARGET_LOAD: This component is in charge of loading the data into the target endpoint. After the data is extracted by the SOURCE_UNLOAD, the TARGET_LOAD component ensures that the data is properly inserted into the target system1.

The other options provided do not align with the Full Load replication process:

B . TARGET_APPLY and D. SOURCE_CAPTURE are typically associated with the Change Data Capture (CDC) process, not the Full Load process2.

C . TARGET_UNLOAD is not a recognized component in the context of Qlik Replicate's Full Load replication.

Therefore, the correct answers are A. SOURCE_UNLOAD and E. TARGET_LOAD, as they are the components that handle the reading and writing of data during the Full Load replication process12.