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How can the task diagnostic package be downloaded?

  1. Open task from overview -> Monitor -> Tools -> Support -> Download diagnostic package
  2. Open task from overview -> Run -> Tools -?
  3. Download diagnostic package Go to server settings -> Logging -> Right-click task -> Support -> Download diagnostic package
  4. Right-click task from overview -> Download diagnostic package

Answer(s): A

Explanation:

To download the task diagnostic package in Qlik Replicate, you need to follow these steps:
Open the task from the overview in the Qlik Replicate Console.
Switch to the Monitor view.
Click on the Tools toolbar button.
Navigate to Support.
Select Download Diagnostic Package.
This process will generate a task-specific diagnostics package that contains the task log files and various debugging data that may assist in troubleshooting task-related issues. Depending on your browser settings, the file will either be automatically downloaded to your designated download folder, or you will be prompted to download it. The file will be named in the format <task_name>__diagnostics__<timestamp>.zip.
The other options provided do not accurately describe the process for downloading a diagnostic package in Qlik Replicate:
B is incomplete and does not provide a valid path.
C incorrectly suggests going to server settings and logging, which is not the correct procedure. D suggests a method that is not documented in the official Qlik Replicate help resources. Therefore, the verified answer is A, as it correctly outlines the steps to download a diagnostic package in Qlik Replicate.



An operative database can only commit two engines to Qlik Replicate (or initial loads at any given time. How should the task settings be modified?

  1. Apply Change Processing Tuning and increase the Apply batched changes intervals to 60 seconds
  2. Qlik Replicate tasks only load one table at a time by default, so the task settings do not need to be modified.
  3. Apply Full Load Settings to limit the number of engines to two.
  4. Apply Full Load Tuning to read a maximum number of tables not greater than two.

Answer(s): C

Explanation:

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 exceeded.
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.



Which is the default port of Qlik Replicate Server on Linux?

  1. 3550
  2. 443
  3. 80
  4. 3552

Answer(s): D

Explanation:

The default port for Qlik Replicate Server on Linux is 3552. This port is used for outbound and inbound communication unless it is overridden during the installation or configuration process. Here's a reference to the documentation that confirms this information:
The official Qlik Replicate documentation states that "Port 3552 (the default rest port) needs to be opened for outbound and inbound communication, unless you override it as described below." This indicates that 3552 is the default port that needs to be considered during the installation and setup of Qlik Replicate on a Linux system.
The other options provided do not correspond to the default port for Qlik Replicate Server on Linux:

A) 3550: This is not listed as the default port in the documentation.
B) 443: This is commonly the default port for HTTPS traffic, but not for Qlik Replicate Server.
C) 80: This is commonly the default port for HTTP traffic, but not for Qlik Replicate Server. Therefore, the verified answer is D. 3552, as it is the port designated for Qlik Replicate Server on Linux according to the official documentation.



A Qlik Replicate administrator must deliver data from a source endpoint with minimal impact and distribute it to several target endpoints.
How should this be achieved in Qlik Replicate?

  1. Create a LogStream task followed by multiple tasks using an endpoint that reads changes from the log stream staging folder
  2. 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
  3. Create a task streaming to a streaming target endpoint (e.g., Kafka) and consume that endpoint in the following tasks as a source endpoint
  4. Create multiple tasks using the same source endpoint

Answer(s): C

Explanation:

Questions no: 16 Verified

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
Reference = 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 tasks.
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 on Adding and managing target endpoints.






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