Most Recent Qlik QREP Exam Questions & Answers

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 Kafka1 and 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.

When encountering table errors in Qlik Replicate, the escalation policy is set to Stop Task and cannot be changed. This means that if the number of table errors reaches a specified threshold, the task will automatically stop, requiring manual intervention to resolve the issue.

The escalation action for table errors is specifically designed to halt the task to prevent further errors or data inconsistencies from occurring. This is a safety measure to ensure that data integrity is maintained and that any issues are addressed before replication continues1.

The other options listed are not escalation actions for table errors:

A . Log Record to the Exceptions Table: While logging errors to the exceptions table is a common action, it is not an escalation action.

B . No Escalate Action: This is not a valid option as there is a specific escalation action defined for table errors.

C . Suspend Table: Suspending a table is a different action that can be taken in response to errors, but it is not the defined escalation action for table errors in Qlik Replicate.

For more information on error handling and escalation actions in Qlik Replicate, you can refer to the official Qlik Replicate Help documentation, which provides detailed guidance on configuring error handling policies and actions for various types of errors1.

To change the Data Directory location on Windows for Qlik Replicate, the administrator needs to follow these steps after stopping the Qlik Replicate services:

E . Move the data directory to a new location: The first step is to physically move the data directory to the new desired location on the file system1.

A . Update the Windows Registry: After moving the data directory, the next step is to update the Windows Registry to reflect the new location of the data directory. This involves modifying the ImagePath string within the HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\services for both the Qlik Replicate UI Server and Qlik Replicate Server services1.

F . Start the Attunity Replicate services: Once the data directory has been moved and the Windows Registry has been updated, the final step is to start the Qlik Replicate services again. This will allow Qlik Replicate to operate using the new data directory location1.

The other options are not part of the recommended steps for changing the Data Directory location:

B . Uninstall Qlik Replicate and reinstall: This is not necessary just for changing the data directory location.

C . Copy the data directory to a shared drive and keep all tasks running: It is not recommended to use a shared drive for the data directory, and tasks cannot run during this process since the services need to be stopped.

D . Stop the Attunity Replicate Ul Server and Attunity Replicate Server services: This is a prerequisite step that should have already been completed before proceeding with the data directory change.

For a complete guide on changing the Data Directory location on Windows, the official Qlik documentation provides detailed instructions and considerations1.

When loading data into a Cloud Storage Data Warehouse like Snowflake, Synapse, Redshift, or Big Query, the type of storage required for the COPY statement is Object Storage such as Azure Data Lake Storage (ADLS), Amazon S3, or Google Cloud Storage (GCS). This is because these cloud data warehouses are designed to directly interact with object storage services, which are scalable, secure, and optimized for large amounts of data.

For example, when using Microsoft Azure Synapse Analytics as a target endpoint in Qlik Replicate, the COPY statement load method requires the Synapse identity to be granted ''Storage Blob Data Contributor'' permission on the storage account, which is applicable when using either Blob storage or ADLS Gen2 storage1. Similarly, for Amazon S3, the Cloud Storage connector in Qlik Application Automation supports operations with files stored in S3 buckets2. The prerequisites for using Azure Data Lake Storage (ADLS) Gen2 file system or Blob storage location also indicate the necessity of these being accessible from the Qlik Replicate machine3.

Therefore, the correct answer is D. Object Storage (ADLS, S3, GCS), as these services provide the necessary infrastructure for the COPY statement to load data efficiently into cloud-based data warehouses.

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.