Questions no: 16 Verified Answer: = C. Create a task streaming to a streaming target

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 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 on Adding and managing target endpoints.

To set all incoming columns to match a single schema in Qlik Replicate, an administrator should use the Global Transformations feature. Here's the process:

Navigate to the Global Transformations section within the Qlik Replicate task settings.

Within Global Transformations, there is an option to define transformations that apply to all tables and columns being replicated.

Use the Schema option within Global Transformations to specify the target schema for all incoming columns.

This approach ensures that all incoming data conforms to a predefined schema, which is particularly useful when consolidating data from multiple sources into a single target schema. It allows for the standardization of column names, data types, and other schema-related attributes across all tables involved in the replication task12.

The other options provided do not directly address the requirement to set all incoming columns to match a single schema:

A . Table Selection - Schema: This option is more about selecting which tables and schemas to include in the replication task, rather than defining a global schema for all columns.

B . Global Transformations - Add Filter and C. Add Filter - Schema: While filters are used to specify conditions for data transformation or selection, they do not provide a means to globally set the schema for all incoming columns.

Therefore, the verified answer is D. Global Transformations - Schema, as it is the correct method to set all incoming columns to match a single schema in Qlik Replicate12.

When the error message ''Cannot create the specific schema'' appears during a Qlik Replicate task, it indicates that the task is unable to automatically create the required schema in the target RDBMS. The recommended method to resolve this issue is to:

Create the schema manually in the target : This involves accessing the target database and manually creating the schema that Qlik Replicate is attempting to use. This ensures that the necessary database objects are in place for the replication task to proceed.

Test the target endpoint connection (D): Although not the direct solution to the schema creation issue, it is a good practice to test the target endpoint connection to confirm that Qlik Replicate can connect to the target database. This can help rule out any connectivity issues that might be contributing to the problem.

The options to drop and recreate the task (A) or reload the target (B) are less likely to resolve the specific issue of schema creation, as they do not address the underlying problem of the missing schema in the target database.

It's important to note that the manual creation of the schema should match the expected structure that Qlik Replicate is attempting to replicate to ensure compatibility and successful replication1.

Qlik Replicate supports a variety of task types to accommodate different data replication needs. The three task types supported are:

LogStream to Staging Folder (A): This task type allows Qlik Replicate to save data changes from the source database transaction log to a staging folder. These changes can then be applied to multiple targets1.

Full load, apply, and store change (E): This is a comprehensive task type that includes a full load of the source database, applying changes to the target, and storing changes in an audit table on the target side1.

LogStream full load (F): Similar to the LogStream to Staging Folder, this task type involves saving data changes from the source database transaction log. However, it also includes a full load of the data to the target database1.

The other options provided do not align with the task types supported by Qlik Replicate:

B . Store changes bidirectional: While Qlik Replicate supports bidirectional tasks, the option as stated does not accurately describe a supported task type.

C . LogStream store changes: This option is not clearly defined as a supported task type in the documentation.

D . Scheduled full loads: Although Qlik Replicate can perform full loads, ''Scheduled full loads'' as a specific task type is not mentioned in the documentation.

Therefore, the verified answers are A, E, and F, as they represent the task types that Qlik Replicate supports according to the official documentation1.

To batch-load a source automatically on a daily basis in Qlik Replicate, you would typically use a server scheduler. Here's how it can be done:

Set trigger through server scheduler (A): You can configure a scheduler on the server where Qlik Replicate is running to trigger the batch load process at a specified time each day. This could be done using the operating system's built-in task scheduler, such as Windows Task Scheduler or cron jobs on Linux systems1.

The scheduler would execute a command or script that starts the Qlik Replicate task configured for batch loading. The command would utilize Qlik Replicate's command-line interface or API to initiate the task1.

This approach allows for precise control over the timing of the batch load and can be adjusted to meet the specific scheduling requirements of the data replication process1.

The other options provided are not typically used for setting up an automatic daily batch load:

B . Set trigger through Advanced Run options: While Advanced Run options provide various ways to run tasks, they do not include a scheduling function for daily automation.

C . Set trigger through Task Designer: Task Designer is used for designing and configuring tasks, not for scheduling them.

D . Enable task on full load and apply changes: This option would start the task immediately and is not related to scheduling the task on a daily basis.

Therefore, the verified answer is A. Set trigger through server scheduler, as it is the method that allows for the automation of batch loading on a daily schedule1.