Free Qlik QREP Exam Dumps October 2026

In Qlik Replicate, the options to read the log files are located in the following places:

In Diagnostic package (B): The diagnostic package in Qlik Replicate includes various log files that can be used for troubleshooting and analysis purposes1.

In Data directory of Installation (D): The log files are written to the log directory within the data directory. This is the primary location where Qlik Replicate writes its log files, and it is not possible to change this location2.

In Monitor of Qlik Replicate (E): The Monitor feature of Qlik Replicate allows users to view and manage log files. Users can access the Log Viewer from the Server Logging Levels or File Transfer Service Logging Level sub-tabs1.

The other options provided do not align with the locations where log files can be read in Qlik Replicate:

A . In Windows Event log: This is not a location where Qlik Replicate log files are stored.

C . In External monitoring tool: While external monitoring tools can be used to read log files, they are not a direct feature of Qlik Replicate for reading log files.

F . In Enterprise Manager: The Enterprise Manager is a separate component that may manage and monitor multiple Qlik Replicate instances, but it is not where log files are directly read.

Therefore, the verified answers are B, D, and E, as they represent the locations within Qlik Replicate where log files can be accessed and read21.

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.

Qlik Enterprise Manager supports a range of open API methods that allow for programmatic interaction with the system. The supported API methods are:

REST SDK: This provides a RESTful interface for interacting with Qlik Enterprise Manager, allowing for operations such as viewing task details, running tasks, and exporting or importing task definitions12.

.NET SDK: The .NET SDK enables developers to use .NET languages to interact with Qlik Enterprise Manager, facilitating integration with other .NET applications3.

Python SDK: The Python SDK allows for scripting and automation of tasks in Qlik Enterprise Manager using Python, which is particularly useful for data scientists and analysts who prefer Python for data-related tasks3.

These API methods enable automation, integration with enterprise dashboards, and the ability to perform batch operations, among other tasks3. Therefore, the correct answer is C. REST SDK, .NET SDK, Python SDK, as these are the open API methods supported by Qlik Enterprise Manager3.

To identify the internal commands that Qlik Replicate is executing prior to an error, the Trace logging level should be used. This level provides detailed information about the operations being performed by Qlik Replicate, including the internal commands executed before an error occurs1.

Here's how the Trace logging level works in Qlik Replicate:

When logging is set to Trace, the log lines are identified with ]T:. This indicates that the log will include detailed trace information about the internal workings of Qlik Replicate, such as sending control records to components or waiting for termination of threads1.

The Trace level is more detailed than Warnings (]W:) and Errors (]E:), which only show warning and error messages without the detailed context of the operations leading up to them1.

The Trace level is also distinct from Verbose (]V:), which provides even more detailed logging information but may not be necessary for identifying the commands leading up to an error1.

Therefore, the correct answer is C. Trace, as it is the appropriate logging level to use when you need to analyze the actions performed by Qlik Replicate just before an error occurs1.

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.