Which are valid source endpoint types for Qlik Replicate change processing (CDC)? (Select two )
For Qlik Replicate's Change Data Capture (CDC) process, the valid source endpoint types include:
The other options provided are not typically associated with CDC in Qlik Replicate:
B . MS Dynamics direct access: While Qlik Replicate can connect to various data sources, MS Dynamics is not commonly listed as a direct source for CDC.
D . Generic REST APIs Data Lake file formats: REST APIs and Data Lake file formats are not standard sources for CDC as they do not maintain transaction logs, which are essential for CDC to track changes.
Which files can be exported and imported to Qlik Replicate to allow for remote backup, migration, troubleshooting, and configuration updates of tasks?
In Qlik Replicate, tasks can be exported and imported for various purposes such as remote backup, migration, troubleshooting, and configuration updates. The format used for these operations is the JSON file format. Here's how the process works:
A Qlik Replicate administrator will use Parallel load during full load Which three ways does Qlik Replicate offer? (Select three.)
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
Which are the main hardware components to run a Qlik Replicate Task in a high performance level?
To run a Qlik Replicate Task at a high-performance level, the main hardware components that are recommended include:
The other options do not encompass all the recommended hardware components for high-performance levels in Qlik Replicate tasks:
A . SSD, RAM: While these are important, they do not include the network bandwidth component.
B . Cores, RAM: This option omits the SSD, which is important for disk performance.
D . RAM, Network bandwidth: This option leaves out the cores, which are essential for processing power.
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