QREP Exam Dumps - Qlik Certification Questions and Answers

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 using LogStream staging for replication in Qlik Replicate, the Staging folder is compressed and stored on the Qlik Replicate server itself. Here’s the process:

A Log Stream Staging task is defined to replicate changes from the source endpoint to the Log Stream Staging folder1.

This task creates a “Staging” file in the Log Stream Staging folder, which contains the changes from the source database transaction log as a compressed binary file1.

The storage path for the streamed data, which includes the Staging folder, must be specified in the Log Stream target endpoint settings, and it is explicitly stated that this path should be located on the Replicate Server machine2.

Therefore, the correct answer isD. On the Qlik Replicate server, as the staging folder is located on the machine where Qlik Replicate server is running, and it is where the compressed staging files are stored12.

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.

For replicating columns that contain large PDFs, the appropriate data type to use in Qlik Replicate is:

D. BLOB: This stands for Binary Large Object and is the data type used for storing large binary data such as PDF files.The BLOB data type is suitable for handling the size and binary nature of PDF files1.

The other options are not suitable for the following reasons:

A. DLOB: This is not a recognized data type in Qlik Replicate.

B. NCLOB: NCLOB, or National Character Large Object, is used for storing large text data in the national character set and is not optimal for binary data like PDFs.

C. NVARCHAR(1000): NVARCHAR is a character data type with a specified length, which would not be suitable for large binary objects like PDFs due to size limitations and the nature of the data.

For more information on data types and their usage in Qlik Replicate, you can refer to the official Qlik Replicate documentation onReplicate data types.

In Qlik Replicate, notifications can be set up for various events related to tasks, endpoints, and the server itself. The types of notifications that can be configured include:

Task Events: Notifications for task-based events, such as when a task starts or stops, when latency is too high, or when specific errors occur1.

Endpoint Events: While the search results did not explicitly mention “Endpoint Events,” it is common in replication tools to have notifications related to endpoints, such as connectivity issues or endpoint-specific errors.

Server Events: Notifications related to the server, which could include system state changes, performance issues, or server-level errors2.

Therefore, the correct answer isC. Server Events, Endpoint Events, and Task Events, as Qlik Replicate allows setting up notifications for all these types of events. This ensures that administrators are alerted to a wide range of potential issues, allowing for prompt response and resolution.

For detailed instructions on how to set up each type of notification in Qlik Replicate, you can refer to the official Qlik documentation, which provides step-by-step guidance on defining and managing notifications for task events, server events, and other significant occurrences within the replication environment132.

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.

When configuring Oracle as a source endpoint for Qlik Replicate, there are several key prerequisites that need to be met:

Enable supplemental logging (A): Supplemental logging is crucial for capturing the changes in the Oracle database accurately, especially for Change Data Capture (CDC) operations.It ensures that all necessary column data is logged for replication purposes1.

Install the Oracle Instant Client (B): The Oracle Instant Client provides the necessary libraries for Qlik Replicate to connect to and interact with the Oracle database.It’s required for the proper functioning of Qlik Replicate2.

Enable ARCHIVELOG mode (D): ARCHIVELOG mode is necessary for the Oracle database to archive redo logs, which Qlik Replicate uses to capture changes.This mode allows the database to continue functioning and preserve the logs even after a log switch, which is essential for CDC1.

The other options provided are not listed as key prerequisites for configuring Oracle as a source endpoint in Qlik Replicate:

C. Complete a full backup of the source: While it’s a good practice to have a backup, it’s not a prerequisite for configuring the source endpoint.

E. Provide Oracle read-only privileges: Read-only privileges might be necessary for certain operations, but they are not listed as a key prerequisite.

F. Configure Oracle Recovery Model: This is not mentioned as a prerequisite in the Qlik Replicate documentation.

Therefore, the verified answers areA,B, andD, as they represent the necessary steps to configure Oracle as a source endpoint in Qlik Replicate12.

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.

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.

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.