QREP Sample Questions Answers

To change the Data Directory location on Windows for Qlik Replicate, the administrator needs to follow these steps after stopping the Qlik Replicate services:

E. Move the data directory to a new location: The first step is to physically move the data directory to the new desired location on the file system1.

A. Update the Windows Registry: After moving the data directory, the next step is to update the Windows Registry to reflect the new location of the data directory.This involves modifying theImagePathstring within theHKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\servicesfor both the Qlik Replicate UI Server and Qlik Replicate Server services1.

F. Start the Attunity Replicate services: Once the data directory has been moved and the Windows Registry has been updated, the final step is to start the Qlik Replicate services again.This will allow Qlik Replicate to operate using the new data directory location1.

The other options are not part of the recommended steps for changing the Data Directory location:

B. Uninstall Qlik Replicate and reinstall: This is not necessary just for changing the data directory location.

C. Copy the data directory to a shared drive and keep all tasks running: It is not recommended to use a shared drive for the data directory, and tasks cannot run during this process since the services need to be stopped.

D. Stop the Attunity Replicate Ul Server and Attunity Replicate Server services: This is a prerequisite step that should have already been completed before proceeding with the data directory change.

For a complete guide on changing the Data Directory location on Windows, the official Qlik documentation provides detailed instructions and considerations1.

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.

Questions no:17Verified Answer: = A. IBM IMS & E. HP NonStopStep by Step Comprehensive and Detailed Explanation with all References: =ARC (Attunity Replicate Connect) CDC agents are used for capturing changes (CDC) and can be utilized with both relational and non-relational endpoints supported by ARC. The endpoints that have ARC CDC agents include:

IBM IMS (A): This is a database and transaction management system, and it is listed as one of the endpoints supported by ARC CDC agents1.

HP NonStop (E): This is a platform for high-availability servers and is also supported by ARC CDC agents1.

The other options provided do not align with the endpoints that have ARC CDC agents:

B. IBMDB2Z/OS: While DB2 for z/OS is a common database system, it is not mentioned in the context of ARC CDC agents.

C. Kafka Source: Kafka is a streaming platform, and while it can be an endpoint for data, it is not listed as having ARC CDC agents.

D. SAPHANA: SAP HANA is an in-memory database, and it is not specified as having ARC CDC agents.

Therefore, the verified answers areA. IBM IMSandE. HP NonStop, as they are the endpoints that utilize ARC CDC agents for capturing changes1.

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 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.

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.

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 isA. Set trigger through server scheduler, as it is the method that allows for the automation of batch loading on a daily schedule1.

In Qlik Enterprise Manager, permissions can be managed in a granular way, and one of the key features is the ability to inherit permissions. Here’s how it works:

Inherited permissions for all functions ©: By default, inheritance is enabled for all objects, including users and groups.This means that permissions are automatically carried over from the parent object, ensuring consistency and ease of management across different levels of the organizational structure1.

Using the same permissions as in Qlik Replicate (A)andUsing the same permissions as in Qlik Replicate and Qlik Compose (D): While Qlik Enterprise Manager may integrate with Qlik Replicate and Qlik Compose, the permissions are not directly transferred or used in the same way. Each tool has its own set of permissions and roles that need to be configured separately.

Transfer rights from Qlik Replicate (B): There is no direct option to transfer rights from Qlik Replicate to Qlik Enterprise Manager. Permissions need to be set within the Enterprise Manager itself, although it may be guided by the roles and permissions defined in Qlik Replicate.

Therefore, the verified answer isC. Inherited permissions for all functions, as it reflects the capability of Qlik Enterprise Manager to set permissions based on inheritance, which simplifies the management of user permissions across the system1.

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.

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.

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.

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 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.

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 theAdvanced Runoptions for the task.

Choose theMetadata Onlyoption, 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 theMetadata Onlyoption 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:

AandDsuggest dropping tables or data, which is not necessary for simply adding metadata.

Bsuggests reloading the target, which is not the same as updating metadata only.

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

The ODBC drivers in Qlik Replicate are located in the\Replicate\bindirectory.This is supported by the documentation from Qlik, which indicates that when installing required clients such as the Microsoft ODBC Driver for SQL Server, the working directory should be changed to/bin1.Additionally, for other prerequisites involving driver locations, the instructions also refer to changing the working directory to/bin23. This consistent reference to the\bindirectory across different parts of the Qlik Replicate documentation verifies that the ODBC drivers are indeed located in the\Replicate\bindirectory.