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| Vendor: | Qlik |
|---|---|
| Exam Code: | QREP |
| Exam Name: | Qlik Replicate Certification Exam |
| Exam Questions: | 60 |
| Last Updated: | November 20, 2025 |
| Related Certifications: | Qlik Data Integration |
| Exam Tags: | Advanced Data Engineers and Database Administrators |
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Which are limitations associated with Qlik Replicate stream endpoint types (e.g.. Kafka or Azure Event Hubs)? (Select two.)
For stream endpoint types like Kafka or Azure Event Hubs in Qlik Replicate, there are specific limitations that apply to the replication options and target table preparation options:
How should missing metadata be added in a Qlik Replicate task after the task has been stopped?
If a task has missing metadata, you need to first stop the task.
Navigate to the 'Advanced Run' options.
Select the option 'Metadata Only.'
Start the task with this setting to process the missing metadata.
Stop the task again after the metadata is added.
Resume normal task processing. This procedure ensures that only the metadata is processed without affecting the existing data on the target side. This method is recommended in Qlik Replicate documentation for handling missing metadata issues.
To add missing metadata in a Qlik Replicate task after the task has been stopped, the correct approach is to use the Advanced Run option for metadata only. Here's the process:
Select the task that requires metadata to be added.
Go to the Advanced Run options for the task.
Choose the Metadata Only option, which has two sub-options:
Recreate all tables and then stop: This will rebuild metadata for all available tables in the task.
By selecting the Metadata Only option and choosing to create missing tables, you can ensure that the metadata for the newly added tables is updated without affecting the existing tables and data. After this operation, you can stop the task again and then resume processing.
The other options provided are not the recommended methods for adding missing metadata:
A and D suggest dropping tables or data, which is not necessary for simply adding metadata.
B suggests reloading the target, which is not the same as updating metadata only.
Where are the three options in Qlik Replicate used to read the log files located? (Select three.)
In Qlik Replicate, the options to read the log files are located in the following places:
The other options provided do not align with the locations where log files can be read in Qlik Replicate:
A . In Windows Event log: This is not a location where Qlik Replicate log files are stored.
C . In External monitoring tool: While external monitoring tools can be used to read log files, they are not a direct feature of Qlik Replicate for reading log files.
F . In Enterprise Manager: The Enterprise Manager is a separate component that may manage and monitor multiple Qlik Replicate instances, but it is not where log files are directly read.
A Qlik Replicate administrator creates a new task and runs a Full Load test The administrator turns on Change Processing, and completes the settings Which method should be used to test this task?
After a Qlik Replicate administrator creates a new task, runs a Full Load test, and turns on Change Processing, the method to test this task would be to:
Stop the task: This ensures that no active processes are running that could interfere with the testing.
Run -> Advanced Run Options: This step allows the administrator to access more specific settings that can control how the task is executed.
Start Change Processing Only: This option will start the Change Data Capture (CDC) phase without re-running the Full Load. It's used to test the CDC mechanism specifically, ensuring that changes made at the source are captured and applied to the target correctly.
A Qlik Replicate administrator needs to load a Cloud Storage Data Warehouse such as Snowflake. Synapse. Redshift. or Big Query Which type of storage Is required for the COPY statement?
When loading data into a Cloud Storage Data Warehouse like Snowflake, Synapse, Redshift, or Big Query, the type of storage required for the COPY statement is Object Storage such as Azure Data Lake Storage (ADLS), Amazon S3, or Google Cloud Storage (GCS). This is because these cloud data warehouses are designed to directly interact with object storage services, which are scalable, secure, and optimized for large amounts of data.
Therefore, the correct answer is D. Object Storage (ADLS, S3, GCS), as these services provide the necessary infrastructure for the COPY statement to load data efficiently into cloud-based data warehouses.
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