Qlik QREP Qlik Replicate Certification Exam Exam Practice Test

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.

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.

In Qlik Replicate, when multiple schema rename rules are applied, the final schema name isdetermined by the last applied setting that affects the schema name directly. Here’s how the process works:

Global Transformationto rename schema to ‘USER1’: This rule will initially rename the schema from ‘HR’ to ‘USER1’.However, this is not the final schema name as further changes are applied later in the task settings1.

Task Settings -> Target Metadatato enter the Target table schema as ‘USER2’: This setting overrides the previous global transformation rule and sets the target schema name to ‘USER2’.This is because the Target Metadata settings are applied after the Global Transformations and directly affect the target schema name1.

Global Transformationto add a new column named ‘SCHEMA’ with expression as ‘USER3’: While this rule adds a new column with a value of ‘USER3’, it does not change the schema name itself.It only affects the content of a column within the tables1.

Therefore, the final target schema name, after considering all the applied settings, isD. USER2.This is because the Target Metadata setting in the task settings has the final say on the target schema name, and it is set to 'USER2’1.

To add a new column to a single table in a Qlik Replicate task, the correct path is throughTable Settings. Here’s the process you would typically follow:

Navigate to theTable Settingsof the table you wish to modify within your task.

Go to theGeneralsection.

Use the option toAdd New Column.

This process allows you to add a column directly to the table’s schema as part of the task configuration. It’s important to note that this action is part of the task’s design phase, where you can specify the schema changes that should be applied to the data as it is replicated.

The other options listed, such asNew TransformationorSelect Table -> Transform, are not the direct paths for adding a new column to a table’s schema within a task.They are related to different aspects of task configuration and transformation1.

In the Qlik Enterprise Manager Analytics GUI, users can view messages related to both server and task trends. This includes:

Server-specific trends: These are metrics and trends related to the performance and usage of the servers, such as memory consumption and disk usage1.

Task-specific trends: These include metrics and trends specific to individual tasks, such as the number of tables and records processed, throughput, and the number of changes applied1.

Therefore, the correct answer isD. Server and task trends, as the Analytics tab in Qlik Enterprise Manager allows users to review trends over a specific time period for both servers and tasks.Users can filter the data to show information for a particular timeframe and for particular tasks, Replicate servers, source databases, and target databases2.

For more detailed information on the types of messages and trends that can be viewed in the Qlik Enterprise Manager Analytics GUI, you can refer to the official Qlik documentation onAnalytics dashboardsandAnalytics.

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.

When handling data errors in Qlik Replicate, especially when data might be truncated, maintaining full table integrity is crucial. The best approach to handle this situation is to log the record to the exceptions table. Here’s why:

Log record to the exceptions table (D): This option allows the task to continue processing while ensuring that any records that could not be applied due to errors, such as truncation, are captured for review and resolution.The exceptions table serves as a repository for such records, allowing administrators to address the issues without losing the integrity of the full dataset1.

Stop Task (A): While stopping the task will prevent further data processing, it does not provide a mechanism to handle the specific records that caused the error.

Suspend Table (B): Suspending the table will halt processing for that specific table, but again, it does not address the individual records that may be causing truncation issues.

Ignore Record ©: Ignoring the record would mean that the truncated data is not processed, potentially leading to data loss and compromising table integrity.

Therefore, the verified answer isD. Log record to the exceptions table, as it allows for the identification and resolution of specific data errors while preserving the integrity of the overall table data12.

To set all incoming columns to match a single schema in Qlik Replicate, an administrator should use theGlobal Transformationsfeature. Here’s the process:

Navigate to theGlobal Transformationssection 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 theSchemaoption 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 FilterandC. 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 isD. Global Transformations - Schema, as it is the correct method to set all incoming columns to match a single schema in Qlik Replicate12.

In Qlik Replicate, the options to read the log files are located in the following places:

In Diagnostic package (B): The diagnostic package in Qlik Replicate includes various log files that can be used for troubleshooting and analysis purposes1.

In Data directory of Installation (D): The log files are written to the log directory within the data directory.This is the primary location where Qlik Replicate writes its log files, and it is not possible to change this location2.

In Monitor of Qlik Replicate (E): The Monitor feature of Qlik Replicate allows users to view and manage log files.Users can access the Log Viewer from the Server Logging Levels or File Transfer Service Logging Level sub-tabs1.

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.

Therefore, the verified answers areB,D, andE, as they represent the locations within Qlik Replicate where log files can be accessed and read21.

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.

To export a task using REPCTL in Qlik Replicate, the correct command isrepctlexportrepository task=task_name. Here’s how you would use it for the task named Oracle_2_SS_Target1:

Open the command-line console on the machine where Qlik Replicate is installed.

Use the REPCTL utility with theexportrepositorycommand followed by thetaskparameter and the name of the task you want to export.

The correct syntax for the command is:

repctl exportrepository task=Oracle_2_SS_Target1

This command will create a JSON file containing the exported task settings1.

The other options provided have either incorrect syntax or misspellings:

Ahas a typo in the command (repct1instead ofrepctl).

Buses an incorrect command (export_taskis not a valid REPCTL command).

Dhas a typo in the task name (0racle_2_SS_Target1instead ofOracle_2_SS_Target1) and an incorrect command (exporttaskis not a valid REPCTL command).

Therefore, the verified answer isC, as it correctly specifies the REPCTL command to export the task named Oracle_2_SS_Target11.

When a new column is added to one of the tables in a Qlik Replicate task, the administrator should stop and then resume the task to replicate this change. This process allows Qlik Replicate to recognize the structural change and apply it accordingly.

The steps involved in this process are:

Stop the task: This ensures that no data changes are missed during the schema change.

Resume the task: Once the task is resumed, Qlik Replicate will pick up the DDL change and apply the new column to the target system.

This procedure is supported by the Qlik Replicate’s DDL handling policy, which can be set to perform an “alter target table” when the source table is altered.This means that when the task is resumed, the new columns from the source tables will be added to the Replicate target1.

It’s important to note that while stopping and resuming the task is generally the recommended approach, the exact steps may vary depending on the specific configuration and version of Qlik Replicate being used. Therefore, it’s always best to consult the latest official documentation or support resources to ensure the correct procedure for your environment.

When encountering table errors in Qlik Replicate, the escalation policy is set toStop Taskand cannot be changed. This means that if the number of table errors reaches a specified threshold, the task will automatically stop, requiring manual intervention to resolve the issue.

The escalation action for table errors is specifically designed to halt the task to prevent further errors or data inconsistencies from occurring.This is a safety measure to ensure that data integrity is maintained and that any issues are addressed before replication continues1.

The other options listed are not escalation actions for table errors:

A. Log Record to the Exceptions Table: While logging errors to the exceptions table is a common action, it is not an escalation action.

B. No Escalate Action: This is not a valid option as there is a specific escalation action defined for table errors.

C. Suspend Table: Suspending a table is a different action that can be taken in response to errors, but it is not the defined escalation action for table errors in Qlik Replicate.

For more information on error handling and escalation actions in Qlik Replicate, you can refer to the official Qlik Replicate Help documentation, which provides detailed guidance on configuring error handling policies and actions for various types of errors1.

To identify the internal commands that Qlik Replicate is executing prior to an error, theTracelogging level should be used.This level provides detailed information about the operations being performed by Qlik Replicate, including the internal commands executed before an error occurs1.

Here’s how the Trace logging level works in Qlik Replicate:

When logging is set toTrace, the log lines are identified with]T:.This indicates that the log will include detailed trace information about the internal workings of Qlik Replicate, such as sending control records to components or waiting for termination of threads1.

The Trace level is more detailed than Warnings (]W:) and Errors (]E:), which only show warning and error messages without the detailed context of the operations leading up to them1.

The Trace level is also distinct from Verbose (]V:), which provides even more detailed logging information but may not be necessary for identifying the commands leading up to an error1.

Therefore, the correct answer isC. Trace, as it is the appropriate logging level to use when you need to analyze the actions performed by Qlik Replicate just before an error occurs1.

For tasks involving Kafka as a target in Qlik Replicate, the valid options are:

A. Full Load and Apply Change: This combination is valid because Kafka can be used both for initial full loads of data and for applying changes captured through CDC (Change Data Capture).In a task with a Kafka target endpoint, each source record is transformed into a message which is then written to a partition in the specified topic1.

The other options are not typically used with Kafka in Qlik Replicate:

B. Full Load and Stage Change: Staging changes is not a standard task option when using Kafka as a target.

C. Apply Change and Store Change: While Kafka can be used to apply changes, the “Store Change” option is not a recognized task option for Kafka targets.

D. Full Load and Store Change: Similarly, “Store Change” is not a standard task option for Kafka targets.

For more information on how to set up and use Kafka as a target endpoint in Qlik Replicate, including the configuration of Full Load and Apply Change tasks, you can refer to the official Qlik community articles and support resources21.

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.

To run daily reports about the changes that have occurred within the past 24 hours using Qlik Replicate, the option that must be set isStore Changes. This feature enables Qlik Replicate to keep a record of the changes that have occurred over a specified period, which in this case is the past 24 hours.

B. Store Changes: This setting allows Qlik Replicate to capture and store the changes made to the data in the source system.These stored changes can then be used to generate reports that reflect the data modifications within the desired timeframe1.

The other options are not specifically designed for the purpose of running daily change reports:

A. Apply Changes: This option is related to applying the captured changes to the target system, which is a different stage of the replication process.

C. Stage Changes: Staging changes involves temporarily storing the changes before they are applied to the target, which is not the same as storing changes for reporting purposes.

D. Full Load: The Full Load option is used to replicate the entire dataset from the source to the target, which is not necessary for generating reports based on changes within a specific timeframe.

For more information on how to configure the Store Changes option and generate reports based on the stored changes, you can refer to the official Qlik documentation and community discussions that provide insights into best practices for setting up replication tasks and managing change data2.

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:

To export tasks, you can use therepctl exportrepositorycommand, which generates a JSON file containing all task definitions and endpoint information (except passwords)1.

The generated JSON file can then be imported to a new server or instance of Qlik Replicate using therepctl importrepositorycommand, allowing for easy migration or restoration of tasks2.

This JSON file contains everything required to reconstruct the data replication project, making it an essential tool for administrators managing Qlik Replicate tasks3.

Therefore, the correct answer isD. Task JSON files, as they are the files that can be exported and imported in Qlik Replicate for the mentioned purposes123.