QREP Qlik Replicate Certification Exam Question and Answers

Qlik Enterprise Manager supports a range of open API methods that allow for programmatic interaction with the system. The supported API methods are:

REST SDK: This provides a RESTful interface for interacting with Qlik Enterprise Manager, allowing for operations such as viewing task details, running tasks, and exporting or importing task definitions12.

.NET SDK: The .NET SDK enables developers to use .NET languages to interact with Qlik Enterprise Manager, facilitating integration with other .NET applications3.

Python SDK: The Python SDK allows for scripting and automation of tasks in Qlik Enterprise Manager using Python, which is particularly useful for data scientists and analysts who prefer Python for data-related tasks3.

These API methods enable automation, integration with enterprise dashboards, and the ability to perform batch operations, among other tasks3.Therefore, the correct answer isC. REST SDK, .NET SDK, Python SDK, as these are the open API methods supported by Qlik Enterprise Manager3.

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.

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.

When merging databases, especially of such large sizes (12 TB and 15 TB), it is crucial to ensure data integrity and consistency. The recommended approach is to:

Stop the Replication Task: This is important to prevent any changes from being replicated to the target while the IBM load process is ongoing.

Perform the IBM Load: Execute the IBM load to merge the database into the existing database.

Resume the Replication Task: Once the IBM load has been successfully completed, the replication task can be resumed.

This approach ensures that the data loaded via IBM load is not missed or duplicated in the target database. It also allows Qlik Replicate to continue capturing changes from the point where the task was stopped, thus maintaining the continuity of the replication process.

It’s important to note that creating a new task after the IBM load (Option D) could lead to complexities in managing the data consistency and might require additional configuration. Continuing to run the task (Option C) could result in conflicts or data integrity issues during the load process. Therefore, Option B is the safest and most reliable approach to ensure a smooth merge of the databases.

For further details and best practices, you can refer to the official Qlik Replicate documentation and support articles which provide guidance on similar scenarios1234.

According to the Qlik Replicate documentation, the minimum level of permissions required for a user to delete tasks is the Designer role. The predefined roles in Qlik Replicate come with different sets of permissions. The Admin and Designer roles have the permission to delete tasks, while the Operator and Viewer roles do not1.

Here’s a breakdown of the permissions for each role related to task management:

Admin: Can create, design, and delete tasks.

Designer: Can create, design, and delete tasks.

Operator: Can perform runtime operations like start, stop, or reload targets but cannot delete tasks.

Viewer: Can view task history and other details but cannot perform task management operations like deleting tasks.

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.

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.

The Qlik Replicate diagnostic package is designed to assist in troubleshooting task-related issues. When you generate a task-specific diagnostics package, it includes the task log files and various debugging data. The contents of the diagnostics package are crucial for the Qlik Support team to review and diagnose any problems that may arise during replication tasks.

According to the official Qlik documentation, the diagnostics package contains:

Task log files

Various debugging data

While the documentation does not explicitly list “Statistics, Task Status, and Metadata” as part of the diagnostics package, these elements are typically included in the debugging data necessary for comprehensive troubleshooting.Therefore, the closest match to the documented contents of the diagnostics package would be option C, which includes Logs, Statistics, Task Status, and Metadata123.

It’s important to note that the specific contents of the diagnostics package may vary slightly based on the version of Qlik Replicate and the nature of the task being diagnosed. However, the provided answer is based on the most recent and relevant documentation available.

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.

ï‚·The goal is to convert a timestamp to Unix time (seconds since January 1, 1970).

ï‚·Thestrftimefunction is used to format date and time values.

ï‚·To get the Unix epoch time, you can use the command:strftime('%s',SAR_H_COMMIT_TIMESTAMP) - strftime('%s','1970-01-01 00:00:00').

ï‚·This command extracts the Unix time from the timestamp and subtracts the Unix epoch start time to get the number of seconds since January 1, 1970. This is consistent with the Qlik Replicate documentation and SQL standard functions for handling date and time conversions.

To convert a timestamp to Unix time (also known as Unix epoch time), which is the number of seconds since January 1st, 1970, you can use thestrftimefunction with the%sformat specifier in Qlik Replicate. The correct syntax for this conversion is:

strftime('%s', SAR_H_COMMIT_TIMESTAMP) - strftime('%s','1970-01-01 00:00:00')

This function will return the number of seconds between theSAR_H_COMMIT_TIMESTAMPand the Unix epoch start date. Here’s a breakdown of the function:

strftime('%s', SAR_H_COMMIT_TIMESTAMP)converts theSAR_H_COMMIT_TIMESTAMPto Unix time.

strftime('%s','1970-01-01 00:00:00')gives the Unix time for the epoch start date, which is0.

Subtracting the second part from the first part is not necessary in this case because the Unix epoch time is defined as the time since1970-01-01 00:00:00. However, if the timestamp is in a different time zone or format, adjustments may be needed.

The other options provided do not correctly represent the conversion to Unix time:

Options A and B usedatetimeinstead ofstrftime, which is not the correct function for this operation1.

Option C incorrectly includesdatetime.datetime, which is not a valid function in Qlik Replicate and seems to be a mix of Python code and SQL1.

Option E usesTime.now.strftime, which appears to be Ruby code and is not applicable in the context of Qlik Replicate1.

Therefore, the verified answer isD, as it correctly uses thestrftimefunction to convert a timestamp to Unix time in Qlik Replicate1.

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 address the issue of column names in a source endpoint being too long for the target endpoint’s character limit, the Qlik Replicate administrator should:

D. Define a new Global Transformation rule of the Column type: This allows the administrator to create a rule that applies to all affected columns across all tables.By defining a global transformation rule, the administrator can systematically rename all columns that exceed the character limit1.

The process involves:

Going to the Global Transformations section in Qlik Replicate.

Selecting the option to create a new transformation rule of the Column type.

Using the transformation rule to specify the criteria for renaming the columns (e.g., replacing a prefix or suffix or using a pattern).

Applying the rule to ensure that all affected columns are renamed according to the defined criteria.

The other options are not as efficient or appropriate for solving the issue:

A. Open the Windows command line terminal and run the renamecolumn command: This is not a standard method for renaming columns in Qlik Replicate and could lead to errors if not executed correctly.

B. Visit the Table Settings for each table in a task and select the Transform tab: While this could work, it is not as efficient as defining a global transformation rule, especially if there are many tables and columns to update.

C. Visit the Table Settings for each table and select the Filter tab: The Filter tab is used for record selection conditions and not for renaming columns.

For more detailed instructions on how to define and apply global transformation rules in Qlik Replicate, you can refer to the official Qlik documentation onGlobal Transformations.

To determine the minimum role permission required for a user to share status on Tasks and Server activity in Qlik Replicate, we can refer to the official Qlik Replicate documentation. According to the documentation, there are four predefined roles available: Admin, Designer, Operator, and Viewer. Each role has its own set of permissions.

The Viewer role is the most basic role and provides the user with the ability to view task history, which includes the status on Tasks and Server activity.This role does not allow the user to perform any changes but does allow them to share information regarding the status of tasks and server activity1.

Here is a breakdown of the permissions for the Viewer role:

View task history: Yes

Download a memory report: No

Download a Diagnostics Package: No

View and download log files: No

Perform runtime operations (such as start, stop, or reload targets): No

Create and design tasks: No

Edit task description in Monitor View: No

Delete tasks: No

Export tasks: No

Import tasks: No

Change logging level: No

Delete logs: No

Manage endpoint connections (add, edit, duplicate, and delete): No

Open the Manage Endpoint Connections window and view the following endpoint settings: Name, type, description, and role: Yes

Click the Test Connection button in the Manage Endpoint Connections window: No

View all of the endpoint settings in the Manage Endpoint Connections window: No

Edit the following server settings: Notifications, scheduled jobs, and executed jobs: No

Edit the following server settings: Mail server settings, default notification recipients, license registration, global error handling, log management, file transfer service, user permissions, and resource control: No

Specify credentials for running operating system level post-commands on Replicate Server: No

Given this information, the Viewer role is sufficient for a user who needs to share status on Tasks and Server activity, making it the minimum role permission required for this purpose1.

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 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.