Qlik QREP Exam With Confidence Using Practice Dumps

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.

Questions no:16Verified Answer: = C. Create a task streaming to a streaming target endpoint (e.g., Kafka) and consume that endpoint in the following tasks as a source endpoint

Step by Step Comprehensive and Detailed Explanation with all References: =To deliver data from a source endpoint with minimal impact and distribute it to several target endpoints in Qlik Replicate, the best approach is:

C. Create a task streaming to a streaming target endpoint (e.g., Kafka) and consume that endpoint in the following tasks as a source endpoint: This method allows for efficient data distribution with minimal impact on the source system.By streaming data to a platform like Kafka, which is designed for high-throughput, scalable, and fault-tolerant storage, Qlik Replicate can then use this data stream as a source for multiple downstream tasks12.

The other options are less optimal because:

A. Create a LogStream task followed by multiple tasks using an endpoint that reads changes from the log stream staging folder: While this option involves a LogStream, it does not specify streaming to a target endpoint that can be consumed by multiple tasks, which is essential for minimal impact distribution.

B. Create a task streaming to a dedicated buffer database (e.g., Oracle or MySQL) and consume that database in the following tasks as a source endpoint: This option introduces additional complexity and potential performance overhead by using a buffer database.

D. Create multiple tasks using the same source endpoint: This could lead to increased load and impact on the source endpoint, which is contrary to the requirement of minimal impact.

For more detailed information on how to set up streaming tasks to target endpoints like Kafka and how to configure subsequent tasks to consume from these streaming endpoints, you can refer to the official Qlik documentation onAdding and managing target endpoints.

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

Step by Step Comprehensive and Detailed Explanation with all References: =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.