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Free QREP Exam Braindumps (page: 7)

Page 6 of 16
PDF with 60 Questions

Where should Qlik Replicate be set up in an on-premises environment?

  1. As close as possible to the target system
  2. In the "middle" between the source and target
  3. As close as possible to the source system
  4. In a cloud environment

Answer(s): C

Explanation:

Questions no: 21 Verified

Answer = C. As close as possible to the source system explanation
Step by Step Comprehensive and Detailed Explanation with all
Reference = In an on-premises environment, Qlik Replicate should be set up as close as possible to the source system. This is because the source system is where the initial capture of data changes occurs, and having Qlik Replicate close to the source helps to minimize latency and maximize the efficiency of data capture.

C) As close as possible to the source system: Positioning Qlik Replicate near the source system reduces the time it takes to capture and process changes, which is critical for maintaining low latency in replication tasks.
The other options are not recommended because:

A) As close as possible to the target system: While proximity to the target system can be beneficial for the apply phase, it is more crucial to have minimal latency during the capture phase, which is closer to the source.

B) In the "middle" between the source and target: This does not provide the optimal configuration for either the capture or apply phases and could introduce unnecessary complexity and potential latency.

D) In a cloud environment: This option is not relevant to the question as it specifies an on-premises setup. Additionally, whether to use a cloud environment depends on the specific architecture and requirements of the replication scenario.
For detailed guidance on setting up Qlik Replicate in an on-premises environment, including considerations for placement and configuration to optimize performance and reduce latency, you can refer to the official Qlik Replicate Setup and User Guide.



Which piece of information is stored and can be modified in the Provider Syntax?

  1. Endpoint definition - Servername and port number
  2. Username and permission of the endpoints
  3. Schema definition of the endpoints
  4. Data Type Mapping

Answer(s): D

Explanation:

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 process.
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 is D. 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 documentation.



A Qlik Replicate administrator is working on a database where the column names in a source endpoint are too long and exceed the character limit for column names in the target endpoint.
How should the administrator solve this issue?

  1. Open the Windows command line terminal and run the renamecolumn command to update all affected columns of all tables
  2. Visit the Table Settings for each table in a task and select the Transform tab to update all affected columns within the Output pane
  3. Visit the Table Settings for each table and select the Filter tab to update all affected columns using a record selection condition
  4. Define a new Global Transformation rule of the Column type, and follow the prompts to filter and rename all columns in all tables

Answer(s): D

Explanation:

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 limit.
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 on Global Transformations.



Which are the valid task options for Kafka?

  1. Full Load and Apply Change
  2. Full Load and Stage Change
  3. Apply Change and Store Change
  4. Full Load and Store Change

Answer(s): A

Explanation:

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 topic.
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 resources.






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