Pass the Qlik Qlik Replicate QREP Questions and answers with CertsForce

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 isObject Storagesuch 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 isD. 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.

In Change Data Capture (CDC) mode, Batch optimized apply mode can be set based on time and/or volume.

This means that the batching of transactions can be controlled by specifying time intervals or the volume of data changes to be batched together.

This optimization helps improve performance by reducing the frequency of writes to the target system and handling large volumes of changes efficiently. The Qlik Replicate documentation outlines this option as a method to enhance the efficiency of data replication in CDC mode by batching transactions based on specific criteria.

In the Change Data Capture (CDC) mode of a Qlik Replicate task, when using the Batch optimized apply mode, the system allows for tuning based on time and/or volume. This setting is designed to optimize the application of changes in batches to the target system. Here’s how it works:

Time: You can set intervals at which batched changes are applied.This includes setting a minimum amount of time to wait between each application of batch changes, as well as a maximum time to wait before declaring a timeout1.

Volume: The system can be configured to force apply a batch when the processing memory exceeds a certain threshold.This allows for the consolidation of operations on the same row, reducing the number of operations on the target to a single transaction2.

The other options provided do not align with the settings for Batch optimized apply mode in CDC tasks:

A. Source connection processes: This is not a setting related to the batch apply mode.

B. Number of changed records: While the number of changed records might affect the batch size, it is not a setting that can be directly configured in this context.

D. Maximum time to batch transactions: This option is related to the time aspect but does not fully capture the essence of the setting, which includes both time and volume considerations.

Therefore, the verified answer isC. Time and/or volume, as it accurately represents the options that can be set for Batch optimized apply mode in the CDC tasks of Qlik Replicate21.

In Qlik Replicate, when handling data errors, there are specific actions that can be configured to manage such errors. Based on the documentation, the available options for handling data errors include:

C. Log record to a specific table: This option allows for the logging of error records to a designated table for further analysis and troubleshooting1.

E. Log record to the exceptions table: This is the default action for data errors in Qlik Replicate, where the error record is written to the exceptions table, allowing the task to continue while preserving information about the error1.

The other options listed are not directly related to the actions available for data errors in Qlik Replicate:

A. Reload task and Reload table: These actions are more related to resolving issues at the task or table level, rather than handling individual data errors.

B. Update missing target error on target side: This option does not correspond to a standard data error handling action in Qlik Replicate.

D. Suspend table: While suspending a table is an action that can be taken in response to data errors, it is typically used to halt replication for the affected table until the issue is resolved1.

For a detailed understanding of data error handling in Qlik Replicate, you can refer to the official Qlik Replicate Help documentation, which outlines the various error handling strategies and configurations that can be applied to tasks1.

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 areA,E, andF, as they represent the task types that Qlik Replicate supports according to the official documentation1.

Questions no:38Verified Answer: = B. AdminStep by Step Comprehensive and Detailed Explanation with all References: =In Qlik Replicate, different user roles are assigned specific permissions that dictate what tasks they can perform within the system. To import tasks into Qlik Replicate, a user must have theAdminrole. Here’s the breakdown of permissions for each role related to task management:

Admin: This role has the highest level of permissions, including the ability to import tasks.Users with the Admin role can perform all operations within Qlik Replicate, such as creating, designing, deleting, exporting, and importing tasks1.

Designer: Users with this role can create and design tasks but do not have permission to import tasks.

Operator: This role allows users to perform runtime operations like start, stop, or reload targets but does not include permissions to import tasks.

Viewer: Users with the Viewer role can view task history and other details but cannot perform task management operations like importing tasks.

Therefore, the correct answer isB. Admin, as only users with the Admin role are granted the permission to import tasks into Qlik Replicate1.

Qlik Enterprise Manager provides a centralized command center to configure, execute, and monitor data replication and transformation tasks across the enterprise. It is specifically designed to manage and control Qlik Replicate and Qlik Compose tasks.Additionally, it integrates with Qlik Catalog to automatically catalog data assets generated by Qlik Replicate directly in Qlik Catalog1.This integration allows for tracking end-to-end data lineage, which improves compliance, governance, and trust in the data assets managed within Qlik Catalog1.

The documentation clearly states that Qlik Enterprise Manager is used to design, execute, and monitor Qlik Replicate and Qlik Compose tasks, and it also mentions the integration with QlikCatalog for data asset management2. However, there is no mention of Qlik Sense being controlled by Qlik Enterprise Manager.Qlik Sense is a separate product for data visualization and analytics, and its management is not within the scope of Qlik Enterprise Manager’s functionalities as described in the available resources12.

Therefore, the correct answer isC. Qlik Replicate, Qlik Compose, Qlik Catalog, as these are the components that can be controlled with Qlik Enterprise Manager.

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 loggingat 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 thev$databaseview:

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 isC. Enable supplemental logging, as it directly addresses the requirement to fix the error related to supplemental logging in Qlik Replicate21.

Theattrep_apply_exceptionstable in Qlik Replicate is used for troubleshooting specific issues that occur during the data replication process. Based on the documentation and community discussions, the two situations where this table can be particularly useful are:

Apply conflicts (B): This table records errors related to conflicts that occur when applying changes to the target system.For instance, if there is a primary key violation or a constraint failure, the details of the conflict are logged in this table1.

Data errors (E): The table also captures errors related to the data itself, such as missing data or data type mismatches.If a record cannot be applied due to data-related issues, the error message and the statement that caused the error are stored in theattrep_apply_exceptionstable2.

Theattrep_apply_exceptionstable is not typically used forabnormal termination (A),table errors ©, orenvironment errors (D)as these issues are generally logged elsewhere within the system or require different troubleshooting approaches. For example, abnormalterminations might be logged in system event logs, while environment errors could be related to infrastructure issues outside the scope of Qlik Replicate’s control tables.