Qlik QREP Qlik Replicate Certification Exam Practice Test

Answer : D

To add a new column to a single table in a Qlik Replicate task, the correct path is through Table Settings. Here's the process you would typically follow:

Navigate to the Table Settings of the table you wish to modify within your task.

Go to the General section.

Use the option to Add New Column.

This process allows you to add a column directly to the table's schema as part of the task configuration. It's important to note that this action is part of the task's design phase, where you can specify the schema changes that should be applied to the data as it is replicated.

The other options listed, such as New Transformation or Select Table -> Transform, are not the direct paths for adding a new column to a table's schema within a task. They are related to different aspects of task configuration and transformation1.

Answer : C

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.

Answer : B, E

When performing a Full Load to a target endpoint in Qlik Replicate, the task logging components that are associated with this process are TARGET_LOAD and SOURCE_UNLOAD.

TARGET_LOAD: This component is responsible for loading the data into the target endpoint. It represents the process where Qlik Replicate reads all columns/rows from the Source database and creates the exact same copy on the Target database1.

SOURCE_UNLOAD: This component is involved in unloading the data from the source endpoint. It is part of the Full Load process where the data is read from the source and prepared for transfer to the target2.

The other options provided are not directly associated with the Full Load process to a target endpoint:

TARGET_APPLY is related to the Change Data Capture (CDC) phase where changes from the source are applied to the target2.

FILE_TRANSFER is not a term directly associated with Qlik Replicate's logging components.

STREAM refers to the Log Stream tasks, which is a different type of task configuration used for saving data changes from the transaction log of a single source database and applying them to multiple targets2.

For a comprehensive understanding of the task types and options in Qlik Replicate, you can refer to the official Qlik community articles on Qlik Replicate Task Configuration Options and An Introduction to Qlik Replicate Tasks: Full Load vs CDC.

Answer : D

In the Qlik Enterprise Manager Analytics GUI, users can view messages related to both server and task trends. This includes:

Server-specific trends: These are metrics and trends related to the performance and usage of the servers, such as memory consumption and disk usage1.

Task-specific trends: These include metrics and trends specific to individual tasks, such as the number of tables and records processed, throughput, and the number of changes applied1.

Therefore, the correct answer is D. Server and task trends, as the Analytics tab in Qlik Enterprise Manager allows users to review trends over a specific time period for both servers and tasks. Users can filter the data to show information for a particular timeframe and for particular tasks, Replicate servers, source databases, and target databases2.

For more detailed information on the types of messages and trends that can be viewed in the Qlik Enterprise Manager Analytics GUI, you can refer to the official Qlik documentation on Analytics dashboards and Analytics.

Answer : C

In a scenario where an operative database can commit only two engines to Qlik Replicate for initial loads, the task settings should be modified to ensure that no more than two tables are loaded at any given time. This can be achieved by:

C . Apply Full Load Settings to limit the number of engines to two: This setting allows you to specify the maximum number of concurrent table loads during the Full Load operation. By limiting this number to two, you ensure that the operative database's capacity is not exceeded1.

The other options are not suitable because:

A . Apply Change Processing Tuning: This option is related to the CDC (Change Data Capture) phase and not the initial Full Load phase. Increasing the apply batched changes interval would not limit the number of engines used during the Full Load.

B . Qlik Replicate tasks only load one table at a time by default: This statement is not accurate as Qlik Replicate can be configured to load multiple tables concurrently, depending on the task settings.

D . Apply Full Load Tuning to read a maximum number of tables not greater than two: While this option seems similar to the correct answer, it is not a recognized setting in Qlik Replicate's configuration options.

For detailed guidance on configuring task settings in Qlik Replicate, particularly for managing the number of concurrent loads, you can refer to the official Qlik community articles on Qlik Replicate Task Configuration Options.

Answer : C

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.

Answer : A, E

The SOURCE_UNLOAD component is responsible for reading data from the source endpoint.

The TARGET_LOAD component is responsible for writing the data to the target endpoint.

These components work in tandem during the Full Load replication process to move data from the source to the target. According to Qlik Replicate documentation, these two components are crucial in handling the extraction and loading phases of Full Load replication.

In the context of Full Load replication with Qlik Replicate, the components responsible for reading data from the source and writing it to the target are:

SOURCE_UNLOAD: This component is responsible for unloading data from the source endpoint. It extracts the data that needs to be replicated to the target system1.

TARGET_LOAD: This component is in charge of loading the data into the target endpoint. After the data is extracted by the SOURCE_UNLOAD, the TARGET_LOAD component ensures that the data is properly inserted into the target system1.

The other options provided do not align with the Full Load replication process:

B . TARGET_APPLY and D. SOURCE_CAPTURE are typically associated with the Change Data Capture (CDC) process, not the Full Load process2.

C . TARGET_UNLOAD is not a recognized component in the context of Qlik Replicate's Full Load replication.

Therefore, the correct answers are A. SOURCE_UNLOAD and E. TARGET_LOAD, as they are the components that handle the reading and writing of data during the Full Load replication process12.