Important Qlik QREP Exam Questions

Answer: D

Explanation:

The server logs in Qlik Replicate provide information about the Qlik Replicate Server instance, rather than individual tasks. The logs can include various levels of information, such as errors, warnings, info, trace, and verbose details1. Specifically, the server logs can provide insights into:

Network and performance issues: These might be indicated by error or warning messages related to connectivity or performance bottlenecks.

Load status and performance of task: While the server logs focus on the server instance, they may contain information about the overall load status and performance, especially if there are server-level issues affecting tasks.

Specific task information: The server logs can include information about tasks, particularly if there are errors or warnings that pertain to task execution at the server level.

Qlik Replicate Server status: This includes general information about the server's health, status, and any significant events that affect the server's operation.

Therefore, while the server logs can potentially contain a range of information, the primary purpose is to provide details on the Qlik Replicate Server status (D), including any issues that may impact the server's ability to function properly and manage tasks231.

Answer: A

Explanation:

When a Qlik Replicate developer encounters errors about a duplicate key when applying INSERT, the first step to identify and resolve the issue is to:

A . Check the error message in the Apply Exceptions control table: This control table contains detailed information about any exceptions that occur during the apply process, including duplicate key errors. By examining the error messages, the developer can understand the cause of the issue and take appropriate action to resolve it1.

The process involves:

Accessing the Qlik Replicate Console.

Navigating to the task that is experiencing the issue.

Opening the Apply Exceptions control table to review the error messages related to the duplicate key issue.

Analyzing the error details to determine the cause, such as whether it's due to a source data problem or a target schema constraint.

The other options are not the correct initial steps for identifying the issue:

B . Stop and reload the task: This action might temporarily bypass the error but does not address the root cause of the duplicate key issue.

C . Stop task and enable the Apply Exceptions control table: The Apply Exceptions control table should already be enabled and checked for errors as the first step.

D . Stop and resume the task: Resuming the task without identifying the cause of the error will likely result in the error reoccurring.

For more information on how to troubleshoot and handle duplicate key errors in Qlik Replicate, you can refer to the official Qlik community articles and support resources that provide guidance on error handling and the use of the Apply Exceptions control table2.

Answer: A, C, F

Explanation:

Qlik Replicate offers several methods for parallel load during a full load process to accelerate the replication of large tables by splitting the table into segments and loading these segments in parallel. The three primary ways Qlik Replicate allows parallel loading are:

Use Data Ranges:

This method involves defining segment boundaries based on data ranges within the columns. You can select segment columns and then specify the data ranges to define how the table should be segmented and loaded in parallel.

Use Partitions - Use all partitions - Use main/sub-partitions:

For tables that are already partitioned, you can choose to load all partitions or use main/sub-partitions to parallelize the data load process. This method ensures that the load is divided based on the existing partitions in the source database.

Use Partitions - Specify partitions/sub-partitions:

This method allows you to specify exactly which partitions or sub-partitions to use for the parallel load. This provides greater control over how the data is segmented and loaded, allowing for optimization based on the specific partitioning scheme of the source table.

These methods are designed to enhance the performance and efficiency of the full load process by leveraging the structure of the source data to enable parallel processing

Answer: A

Explanation:

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.

Answer: A, E

Explanation:

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.