QREP Exam Results

If a task has missing metadata, you need to first stop the task.

Navigate to the "Advanced Run" options.

Select the option "Metadata Only."

Start the task with this setting to process the missing metadata.

Stop the task again after the metadata is added.

Resume normal task processing. This procedure ensures that only the metadata is processed without affecting the existing data on the target side. This method is recommended in Qlik Replicate documentation for handling missing metadata issues.

To add missing metadata in a Qlik Replicate task after the task has been stopped, the correct approach is to use the Advanced Run option for metadata only. Here’s the process:

Select the task that requires metadata to be added.

Go to theAdvanced Runoptions for the task.

Choose theMetadata Onlyoption, which has two sub-options:

Recreate all tables and then stop: This will rebuild metadata for all available tables in the task.

Create missing tables and then stop: This will rebuild metadata only for the missing tables or the tables that were newly added to the task1.

By selecting theMetadata Onlyoption and choosing to create missing tables, you can ensure that the metadata for the newly added tables is updated without affecting the existing tables and data. After this operation, you can stop the task again and then resume processing.

The other options provided are not the recommended methods for adding missing metadata:

AandDsuggest dropping tables or data, which is not necessary for simply adding metadata.

Bsuggests reloading the target, which is not the same as updating metadata only.

Therefore, the verified answer isC, as it accurately describes the process of adding missing metadata to a Qlik Replicate task using the Advanced Run options1.

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.

To batch-load a source automatically on a daily basis in Qlik Replicate, you would typically use a server scheduler. Here’s how it can be done:

Set trigger through server scheduler (A): You can configure a scheduler on the server where Qlik Replicate is running to trigger the batch load process at a specified time each day.This could be done using the operating system’s built-in task scheduler, such as Windows Task Scheduler or cron jobs on Linux systems1.

The scheduler would execute a command or script that starts the Qlik Replicate task configured for batch loading.The command would utilize Qlik Replicate’s command-line interface or API to initiate the task1.

This approach allows for precise control over the timing of the batch load and can be adjusted to meet the specific scheduling requirements of the data replication process1.

The other options provided are not typically used for setting up an automatic daily batch load:

B. Set trigger through Advanced Run options: While Advanced Run options provide various ways to run tasks, they do not include a scheduling function for daily automation.

C. Set trigger through Task Designer: Task Designer is used for designing and configuring tasks, not for scheduling them.

D. Enable task on full load and apply changes: This option would start the task immediately and is not related to scheduling the task on a daily basis.

Therefore, the verified answer isA. Set trigger through server scheduler, as it is the method that allows for the automation of batch loading on a daily schedule1.

The Apply Exceptions data in Qlik Replicate is retained indefinitely by default. This means thatthe data related to apply exceptions, which includes error records and other relevant information, is not automatically purged after a certain period.

The retention of Apply Exceptions data is crucial for ongoing monitoring and troubleshooting of replication tasks. It allows administrators to review and address any issues that have occurred over the life of the task.

According to the Qlik Replicate documentation, theattrep_apply_exceptionstable, which records processing errors, does not have an automated deletion process.This table includes columns for the task name, table owner, table name, error time (in UTC), statement being executed when the error occurred, and the actual error message1.

This indefinite retention policy ensures that administrators have a complete historical record of all exceptions that have occurred, which can be invaluable for diagnosing and resolving issues with replication tasks. However, it’s important for administrators to manage the size of this table manually to prevent it from growing too large, which could potentially impact system performance.