Free Practice Questions for Qlik QREP Exam

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.

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.

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.

The default port for Qlik Replicate Server on Linux is3552. This port is used for outbound and inbound communication unless it is overridden during the installation or configuration process. Here’s a reference to the documentation that confirms this information:

The official Qlik Replicate documentation states that “Port 3552 (the default rest port) needs to be opened for outbound and inbound communication, unless you override it as described below.” This indicates that 3552 is the default port that needs to be considered during the installation and setup of Qlik Replicate on a Linux system1.

The other options provided do not correspond to the default port for Qlik Replicate Server on Linux:

A. 3550: This is not listed as the default port in the documentation.

B. 443: This is commonly the default port for HTTPS traffic, but not for Qlik Replicate Server.

C. 80: This is commonly the default port for HTTP traffic, but not for Qlik Replicate Server.

Therefore, the verified answer isD. 3552, as it is the port designated for Qlik Replicate Server on Linux according to the official documentation1.

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.

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 administrator needs to access data from a CRM application, the most efficient and direct method is often through the application’s REST API. Here’s why:

Connect to the REST API provided by the application ©: Many modern CRM applications provide a REST API for programmatic access to their data. This method is typically supported by data integration tools like Qlik Replicate and allows for a more seamless and real-time data extraction process.The REST API can provide a direct and efficient way to access the required data without the need for intermediate steps1.

Connect directly to the application (A): While this option might seem straightforward, it is not always possible or recommended due to potential limitations in direct application connections or the lack of a suitable interface for data extraction.

Export tables to CSVs in a shared folder and connect to that (B): This method involves additional steps and can be less efficient. It requires manual intervention to export the data and does not support real-time data access.

Connect to the underlying RDBMS (D): Accessing the underlying relational database management system (RDBMS) can be an option, but it may bypass the business logic implemented in the CRM application and could lead to incomplete or inconsistent data extraction.

Given these considerations, the REST API method © is generally the preferred approach for accessing CRM application data in a structured and programmable manner, which aligns with the capabilities of Qlik Replicate213.

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.

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.