QREP Qlik Replicate Certification Exam Questions and Answers

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.

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.

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.

Qlik Replicate offers several methods for parallel load during a full load process to accelerate the replication of large tables by splitting the table into segments and loading these segments in parallel. The three primary ways Qlik Replicate allows parallel loading are:

Use Data Ranges:

This method involves defining segment boundaries based on data ranges within the columns. You can select segment columns and then specify the data ranges to define how the table should be segmented and loaded in parallel.

Use Partitions - Use all partitions - Use main/sub-partitions:

For tables that are already partitioned, you can choose to load all partitions or use main/sub-partitions to parallelize the data load process. This method ensures that the load is divided based on the existing partitions in the source database.

Use Partitions - Specify partitions/sub-partitions:

This method allows you to specify exactly which partitions or sub-partitions to use for the parallel load. This provides greater control over how the data is segmented and loaded, allowing for optimization based on the specific partitioning scheme of the source table.

These methods are designed to enhance the performance and efficiency of the full load process by leveraging the structure of the source data to enable parallel processing

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.

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.

To run a Qlik Replicate Task at a high-performance level, the main hardware components that are recommended include:

Cores: A higher number of cores is beneficial for handling many tasks running in parallel and for prioritizing full-load performance1.

SSD (Solid State Drive): SSDs are recommended for optimal performance, especially when using a file-based target or dealing with long-running source transactions that may not fit into memory1.

Network bandwidth: Adequate network bandwidth is crucial to handle the data transfer requirements, with 1 Gbps for basic systems and 10 Gbps for larger systems being recommended1.

The other options do not encompass all the recommended hardware components for high-performance levels in Qlik Replicate tasks:

A. SSD, RAM: While these are important, they do not include the network bandwidth component.

B. Cores, RAM: This option omits the SSD, which is important for disk performance.

D. RAM, Network bandwidth: This option leaves out the cores, which are essential for processing power.

For detailed hardware recommendations for different scales of Qlik Replicate systems, you can refer to the official Qlik documentation onRecommended Hardware Configuration.

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.

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.

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.

This method is supported by best practices in the Qlik community and documentation, which suggest using the Advanced Run Options to control the task’s behavior for testing purposes1. It allows the administrator to verify that the Change Processing is set up correctly and is functioning as expected without the need to reload the target or recreate the task entirely. This approach is efficient and effective for testing the CDC functionality in isolation.

The Provider Syntax in Qlik Replicate is used to define and modify certain behaviors and properties of the replication process. Specifically, it allows for the creation of a custom syntax for various operations and mappings. The information that can be stored and modified in the Provider Syntax includes:

Data Type Mapping (D): This involves creating mappings between the provider data types and Attunity Replicate data types.It allows for the customization of how data types are handled during the replication process1.

The other options provided do not align with the capabilities of the Provider Syntax:

A. Endpoint definition - Servername and port number: This information is typically configured in the endpoint settings, not within the Provider Syntax.

B. Username and permission of the endpoints: Usernames and permissions are also configured in the endpoint settings or within the security configurations of the respective systems.

C. Schema definition of the endpoints: While the schema definition is crucial for replication, it is not something that is typically modified within the Provider Syntax.

Therefore, the verified answer isD. Data Type Mapping, as it is the piece of information that is stored and can be modified within the Provider Syntax according to the Qlik Replicate documentation21.

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.

The SOURCE_UNLOAD component is responsible for reading data from the source endpoint.

The TARGET_LOAD component is responsible for writing the data to the target endpoint.

These components work in tandem during the Full Load replication process to move data from the source to the target. According to Qlik Replicate documentation, these two components are crucial in handling the extraction and loading phases of Full Load replication.

In the context of Full Load replication with Qlik Replicate, the components responsible for reading data from the source and writing it to the target are:

SOURCE_UNLOAD: This component is responsible for unloading data from the source endpoint.It extracts the data that needs to be replicated to the target system1.

TARGET_LOAD: This component is in charge of loading the data into the target endpoint.After the data is extracted by the SOURCE_UNLOAD, the TARGET_LOAD component ensures that the data is properly inserted into the target system1.

The other options provided do not align with the Full Load replication process:

B. TARGET_APPLYandD. SOURCE_CAPTUREare typically associated with the Change Data Capture (CDC) process, not the Full Load process2.

C. TARGET_UNLOADis not a recognized component in the context of Qlik Replicate’s Full Load replication.

Therefore, the correct answers areA. SOURCE_UNLOADandE. TARGET_LOAD, as they are the components that handle the reading and writing of data during the Full Load replication process12.

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.

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

Thestrftimefunction is used to format date and time values.

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').

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.