Qlik QREP Exam Dumps

The error message 'Failed adding supplemental logging for table' indicates that supplemental logging is not enabled on the Oracle source.

Supplemental logging must be enabled to capture the necessary changes for replication.

To fix this error, you should enable supplemental logging on the Oracle database for the specific table or tables.

This can usually be done by executing the following SQL command on the Oracle source:

ALTER DATABASE ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;

Verify that the logging is enabled and then retry the replication task. This solution aligns with the troubleshooting steps provided in the Qlik Replicate documentation for dealing with supplemental logging errors.

The error message ''Failed adding supplemental logging for table 'Table name''' indicates that supplemental logging has not been enabled for the table in the Oracle source database. Supplemental logging is necessary for Qlik Replicate to capture the changes in the Oracle database accurately, especially for Change Data Capture (CDC) operations.

To resolve this error, you should:

Enable supplemental logging at the database level by executing the following SQL command in the Oracle database:

ALTER DATABASE ADD SUPPLEMENTAL LOG DATA;

This command enables minimal supplemental logging, which is required for Qlik Replicate to function correctly1.

If you need to enable supplemental logging for all columns, you can use the following SQL command:

ALTER DATABASE ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;

This ensures that all necessary column data is logged for replication purposes1.

After enabling supplemental logging, verify that it is active by querying the v$database view:

SELECT supplemental_log_data_min FROM v$database;

The correct return value should be 'YES', indicating that supplemental logging is enabled1.

The other options provided are not directly related to the issue of supplemental logging:

A . Contact the Oracle DBA: While contacting the DBA might be helpful, the specific action needed is to enable supplemental logging.

B . Check the permission on the target endpoint: Permissions on the target endpoint are not related to the supplemental logging requirement on the source database.

D . Check the permission of the source endpoint: Permissions on the source endpoint are important, but the error message specifically refers to the need for supplemental logging.

Therefore, the verified answer is C. Enable supplemental logging, as it directly addresses the requirement to fix the error related to supplemental logging in Qlik Replicate21.

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.

For example, when using Microsoft Azure Synapse Analytics as a target endpoint in Qlik Replicate, the COPY statement load method requires the Synapse identity to be granted ''Storage Blob Data Contributor'' permission on the storage account, which is applicable when using either Blob storage or ADLS Gen2 storage1. Similarly, for Amazon S3, the Cloud Storage connector in Qlik Application Automation supports operations with files stored in S3 buckets2. The prerequisites for using Azure Data Lake Storage (ADLS) Gen2 file system or Blob storage location also indicate the necessity of these being accessible from the Qlik Replicate machine3.

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.

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.

Create missing tables and then stop: This will rebuild metadata only for the missing tables or the tables that were newly added to the task1.

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.

Therefore, the verified answer is C, as it accurately describes the process of adding missing metadata to a Qlik Replicate task using the Advanced Run options1.

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.

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.