Qlik QREP Qlik Replicate Certification Exam Practice Test

Answer : C

The ODBC drivers in Qlik Replicate are located in the \Replicate\bin directory. 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 <Replicate-Install-Dir>/bin23. This consistent reference to the \bin directory across different parts of the Qlik Replicate documentation verifies that the ODBC drivers are indeed located in the \Replicate\bin directory.

Answer : C

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.

Answer : A, E

Questions no: 17 Verified Answer: = A. IBM IMS & E. HP NonStop

Explanation: Step by Step Comprehensive and Detailed Explanation with all Reference: = 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 are A. IBM IMS and E. HP NonStop, as they are the endpoints that utilize ARC CDC agents for capturing changes1.

Answer : C

Questions no: 16 Verified Answer: = C. Create a task streaming to a streaming target

Step by Step Comprehensive and Detailed Explanation with all Reference: = To deliver data from a source endpoint with minimal impact and distribute it to several target endpoints in Qlik Replicate, the best approach is:

C . Create a task streaming to a streaming target endpoint (e.g., Kafka) and consume that endpoint in the following tasks as a source endpoint: This method allows for efficient data distribution with minimal impact on the source system. By streaming data to a platform like Kafka, which is designed for high-throughput, scalable, and fault-tolerant storage, Qlik Replicate can then use this data stream as a source for multiple downstream tasks12.

The other options are less optimal because:

A . Create a LogStream task followed by multiple tasks using an endpoint that reads changes from the log stream staging folder: While this option involves a LogStream, it does not specify streaming to a target endpoint that can be consumed by multiple tasks, which is essential for minimal impact distribution.

B . Create a task streaming to a dedicated buffer database (e.g., Oracle or MySQL) and consume that database in the following tasks as a source endpoint: This option introduces additional complexity and potential performance overhead by using a buffer database.

D . Create multiple tasks using the same source endpoint: This could lead to increased load and impact on the source endpoint, which is contrary to the requirement of minimal impact.

For more detailed information on how to set up streaming tasks to target endpoints like Kafka and how to configure subsequent tasks to consume from these streaming endpoints, you can refer to the official Qlik documentation on Adding and managing target endpoints.

Answer : D

The default port for Qlik Replicate Server on Linux is 3552. 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 is D. 3552, as it is the port designated for Qlik Replicate Server on Linux according to the official documentation1.

Answer : A, C

For Qlik Replicate's Change Data Capture (CDC) process, the valid source endpoint types include:

A . Classic Relational RDBMS: These are traditional relational database management systems that support CDC. Qlik Replicate can capture changes from these systems using log-based CDC tools which are integrated to work with most ETL tools1.

C . SAP ECC and Extractors: SAP ECC (ERP Central Component) and its extractors are also supported as source endpoints for CDC in Qlik Replicate. This allows for the replication of data changes from SAP's complex data structures1.

The other options provided are not typically associated with CDC in Qlik Replicate:

B . MS Dynamics direct access: While Qlik Replicate can connect to various data sources, MS Dynamics is not commonly listed as a direct source for CDC.

D . Generic REST APIs Data Lake file formats: REST APIs and Data Lake file formats are not standard sources for CDC as they do not maintain transaction logs, which are essential for CDC to track changes.

For detailed information on setting up source endpoints and enabling CDC, you can refer to the official Qlik documentation and community articles that discuss the prerequisites and configurations needed for various source endpoints2345.

Answer : B, E

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.