Qlik QREP Exam Dumps

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.

According to the Qlik Replicate documentation, the minimum level of permissions required for a user to delete tasks is theDesignerrole. The predefined roles in Qlik Replicate come with different sets of permissions.TheAdminandDesignerroles have the permission to delete tasks, while theOperatorandViewerroles do not1.

Here's a breakdown of the permissions for each role related to task management:

Admin: Can create, design, and delete tasks.

Designer: Can create, design, and delete tasks.

Operator: Can perform runtime operations like start, stop, or reload targets but cannot delete tasks.

Viewer: Can view task history and other details but cannot perform task management operations like deleting tasks.

To run daily reports about the changes that have occurred within the past 24 hours using Qlik Replicate, the option that must be set is Store Changes. This feature enables Qlik Replicate to keep a record of the changes that have occurred over a specified period, which in this case is the past 24 hours.

B . Store Changes: This setting allows Qlik Replicate to capture and store the changes made to the data in the source system. These stored changes can then be used to generate reports that reflect the data modifications within the desired timeframe1.

The other options are not specifically designed for the purpose of running daily change reports:

A . Apply Changes: This option is related to applying the captured changes to the target system, which is a different stage of the replication process.

C . Stage Changes: Staging changes involves temporarily storing the changes before they are applied to the target, which is not the same as storing changes for reporting purposes.

The Qlik Replicate diagnostic package is designed to assist in troubleshooting task-related issues. When you generate a task-specific diagnostics package, it includes the task log files and various debugging data. The contents of the diagnostics package are crucial for the Qlik Support team to review and diagnose any problems that may arise during replication tasks.

According to the official Qlik documentation, the diagnostics package contains:

Task log files

Various debugging data

While the documentation does not explicitly list ''Statistics, Task Status, and Metadata'' as part of the diagnostics package, these elements are typically included in the debugging data necessary for comprehensive troubleshooting. Therefore, the closest match to the documented contents of the diagnostics package would be option C, which includes Logs, Statistics, Task Status, and Metadata123.

It's important to note that the specific contents of the diagnostics package may vary slightly based on the version of Qlik Replicate and the nature of the task being diagnosed. However, the provided answer is based on the most recent and relevant documentation available.

When the connection to the source endpoint is unavailable for an extended period, and the log files are limited to only 2 hours of data before being deleted, the safest way to ensure a consistent state in the target endpoint is to use the Reload Target Run option (A). This approach is recommended because it allows for a complete refresh of the target data, ensuring that it is in sync with the source once the connection is re-established.

The Reload Target Run option is designed to handle situations where the replication logs are not sufficient to recover the replicated state due to extended outages or log retention policies. By reloading the target, you can be confident that the data reflects the current state of the source, without relying on potentially incomplete change logs.

Starting processing from a fixed date and time (B) or recovering from a locally stored checkpoint would not be reliable if the logs do not cover the entire period of the outage. Resuming the task and ignoring warnings (D) could lead to inconsistencies due to missed changes.

Therefore, the Reload Target Run option is the safest method to create a consistent state in the target endpoint under these circumstances1.