Free Qlik QREP Exam Dumps May 2026

To determine the minimum role permission required for a user to share status on Tasks and Server activity in Qlik Replicate, we can refer to the official Qlik Replicate documentation. According to the documentation, there are four predefined roles available: Admin, Designer, Operator, and Viewer. Each role has its own set of permissions.

The Viewer role is the most basic role and provides the user with the ability to view task history, which includes the status on Tasks and Server activity. This role does not allow the user to perform any changes but does allow them to share information regarding the status of tasks and server activity1.

Here is a breakdown of the permissions for the Viewer role:

View task history: Yes

Download a memory report: No

Download a Diagnostics Package: No

View and download log files: No

Perform runtime operations (such as start, stop, or reload targets): No

Create and design tasks: No

Edit task description in Monitor View: No

Delete tasks: No

Export tasks: No

Import tasks: No

Change logging level: No

Delete logs: No

Manage endpoint connections (add, edit, duplicate, and delete): No

Open the Manage Endpoint Connections window and view the following endpoint settings: Name, type, description, and role: Yes

Click the Test Connection button in the Manage Endpoint Connections window: No

View all of the endpoint settings in the Manage Endpoint Connections window: No

Edit the following server settings: Notifications, scheduled jobs, and executed jobs: No

Edit the following server settings: Mail server settings, default notification recipients, license registration, global error handling, log management, file transfer service, user permissions, and resource control: No

Specify credentials for running operating system level post-commands on Replicate Server: No

Given this information, the Viewer role is sufficient for a user who needs to share status on Tasks and Server activity, making it the minimum role permission required for this purpose1.

When a new column is added to one of the tables in a Qlik Replicate task, the administrator should stop and then resume the task to replicate this change. This process allows Qlik Replicate to recognize the structural change and apply it accordingly.

The steps involved in this process are:

Stop the task: This ensures that no data changes are missed during the schema change.

Resume the task: Once the task is resumed, Qlik Replicate will pick up the DDL change and apply the new column to the target system.

This procedure is supported by the Qlik Replicate's DDL handling policy, which can be set to perform an ''alter target table'' when the source table is altered. This means that when the task is resumed, the new columns from the source tables will be added to the Replicate target1.

It's important to note that while stopping and resuming the task is generally the recommended approach, the exact steps may vary depending on the specific configuration and version of Qlik Replicate being used. Therefore, it's always best to consult the latest official documentation or support resources to ensure the correct procedure for your environment.

For tasks involving Kafka as a target in Qlik Replicate, the valid options are:

A . Full Load and Apply Change: This combination is valid because Kafka can be used both for initial full loads of data and for applying changes captured through CDC (Change Data Capture). In a task with a Kafka target endpoint, each source record is transformed into a message which is then written to a partition in the specified topic1.

The other options are not typically used with Kafka in Qlik Replicate:

B . Full Load and Stage Change: Staging changes is not a standard task option when using Kafka as a target.

C . Apply Change and Store Change: While Kafka can be used to apply changes, the ''Store Change'' option is not a recognized task option for Kafka targets.

D . Full Load and Store Change: Similarly, ''Store Change'' is not a standard task option for Kafka targets.

For more information on how to set up and use Kafka as a target endpoint in Qlik Replicate, including the configuration of Full Load and Apply Change tasks, you can refer to the official Qlik community articles and support resources21.

Questions no: 21 Verified Answer: = C. As close as possible to the source system

Step by Step Comprehensive and Detailed Explanation with all Reference: = In an on-premises environment, Qlik Replicate should be set up as close as possible to the source system. This is because the source system is where the initial capture of data changes occurs, and having Qlik Replicate close to the source helps to minimize latency and maximize the efficiency of data capture.

C . As close as possible to the source system: Positioning Qlik Replicate near the source system reduces the time it takes to capture and process changes, which is critical for maintaining low latency in replication tasks1.

The other options are not recommended because:

A . As close as possible to the target system: While proximity to the target system can be beneficial for the apply phase, it is more crucial to have minimal latency during the capture phase, which is closer to the source.

B . In the ''middle'' between the source and target: This does not provide the optimal configuration for either the capture or apply phases and could introduce unnecessary complexity and potential latency.

D . In a cloud environment: This option is not relevant to the question as it specifies an on-premises setup. Additionally, whether to use a cloud environment depends on the specific architecture and requirements of the replication scenario.

For detailed guidance on setting up Qlik Replicate in an on-premises environment, including considerations for placement and configuration to optimize performance and reduce latency, you can refer to the official Qlik Replicate Setup and User Guide1.