Qlik QREP Exam Dumps

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 on Recommended Hardware Configuration.

To run Analytics under Qlik Enterprise Manager, it is required to have a PostgreSQL Database installed. This is because the Analytics data for Qlik Enterprise Manager is stored in a PostgreSQL database. Before using the Analytics feature, you must ensure that PostgreSQL (version 12.16 or later) is installed either on the Enterprise Manager machine or on a machine that is accessible from Enterprise Manager1.

Here are the steps and prerequisites for setting up Analytics in Qlik Enterprise Manager:

Install PostgreSQL: The setup file for PostgreSQL is included with Enterprise Manager, and it must be installed to store the Analytics data1.

Create a dedicated database and user: A dedicated database and user in PostgreSQL should be created, which will own the tables accessed by the Enterprise Manager Analytics module1.

Configure connectivity: Connectivity to the PostgreSQL repository must be configured as described in the Repository connection settings1.

Data collection and purging: Configure data collection and purging settings as described in the Analytics - Data collection and purge settings1.

Register a license: A Replication Analytics license is required to use Analytics. If you have a license, you can register it by following the procedure described in Registering a license1.

The other options provided, such as Qlik Replicate (A), Qlik Compose (B), and both Qlik Compose and Replicate (D), are not components that must be installed to run Analytics under Enterprise Manager. The essential component is the PostgreSQL Database , which serves as the backend for storing the Analytics data1.

Therefore, the verified answer is C. PostgreSQL Database, as it is the required component to run Analytics under Qlik Enterprise Manager1.

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 are A, E, and F, as they represent the task types that Qlik Replicate supports according to the official documentation1.

When performing a Full Load to a target endpoint in Qlik Replicate, the task logging components that are associated with this process are TARGET_LOAD and SOURCE_UNLOAD.

TARGET_LOAD: This component is responsible for loading the data into the target endpoint. It represents the process where Qlik Replicate reads all columns/rows from the Source database and creates the exact same copy on the Target database1.

SOURCE_UNLOAD: This component is involved in unloading the data from the source endpoint. It is part of the Full Load process where the data is read from the source and prepared for transfer to the target2.

The other options provided are not directly associated with the Full Load process to a target endpoint:

TARGET_APPLY is related to the Change Data Capture (CDC) phase where changes from the source are applied to the target2.

FILE_TRANSFER is not a term directly associated with Qlik Replicate's logging components.

STREAM refers to the Log Stream tasks, which is a different type of task configuration used for saving data changes from the transaction log of a single source database and applying them to multiple targets2.

For a comprehensive understanding of the task types and options in Qlik Replicate, you can refer to the official Qlik community articles on Qlik Replicate Task Configuration Options and An Introduction to Qlik Replicate Tasks: Full Load vs CDC.

To set all incoming columns to match a single schema in Qlik Replicate, an administrator should use the Global Transformations feature. Here's the process:

Navigate to the Global Transformations section 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 the Schema option 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 Filter and C. 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 is D. Global Transformations - Schema, as it is the correct method to set all incoming columns to match a single schema in Qlik Replicate12.