Qlik QREP Qlik Replicate Certification Exam Exam Practice Test

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.

Questions no:21Verified Answer: = C. As close as possible to the source system

Step by Step Comprehensive and Detailed Explanation with all References: =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 tasks1.

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 Guide1.

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.

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.

When performing a Full Load to a target endpoint in Qlik Replicate, the task logging components that are associated with this process areTARGET_LOADandSOURCE_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_APPLYis related to the Change Data Capture (CDC) phase where changes from the source are applied to the target2.

FILE_TRANSFERis not a term directly associated with Qlik Replicate’s logging components.

STREAMrefers 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 onQlik Replicate Task Configuration OptionsandAn Introduction to Qlik Replicate Tasks: Full Load vs CDC.

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.

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.

Qlik Enterprise Manager provides a centralized command center to configure, execute, and monitor data replication and transformation tasks across the enterprise. It is specifically designed to manage and control Qlik Replicate and Qlik Compose tasks.Additionally, it integrates with Qlik Catalog to automatically catalog data assets generated by Qlik Replicate directly in Qlik Catalog1.This integration allows for tracking end-to-end data lineage, which improves compliance, governance, and trust in the data assets managed within Qlik Catalog1.

The documentation clearly states that Qlik Enterprise Manager is used to design, execute, and monitor Qlik Replicate and Qlik Compose tasks, and it also mentions the integration with QlikCatalog for data asset management2. However, there is no mention of Qlik Sense being controlled by Qlik Enterprise Manager.Qlik Sense is a separate product for data visualization and analytics, and its management is not within the scope of Qlik Enterprise Manager’s functionalities as described in the available resources12.

Therefore, the correct answer isC. Qlik Replicate, Qlik Compose, Qlik Catalog, as these are the components that can be controlled with Qlik Enterprise Manager.

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.

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.

To download the task diagnostic package in Qlik Replicate, you need to follow these steps:

Open the task from the overview in the Qlik Replicate Console.

Switch to theMonitorview.

Click on theToolstoolbar button.

Navigate toSupport.

SelectDownload Diagnostic Package1.

This process will generate a task-specific diagnostics package that contains the task log files and various debugging data that may assist in troubleshooting task-related issues. Depending on your browser settings, the file will either be automatically downloaded to your designated download folder, or you will be prompted to download it.The file will be named in the format__diagnostics__.zip12.

The other options provided do not accurately describe the process for downloading a diagnostic package in Qlik Replicate:

Bis incomplete and does not provide a valid path.

Cincorrectly suggests going to server settings and logging, which is not the correct procedure.

Dsuggests a method that is not documented in the official Qlik Replicate help resources.

Therefore, the verified answer isA, as it correctly outlines the steps to download a diagnostic package in Qlik Replicate12.

To set all incoming columns to match a single schema in Qlik Replicate, an administrator should use theGlobal Transformationsfeature. Here’s the process:

Navigate to theGlobal Transformationssection 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 theSchemaoption 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 FilterandC. 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 isD. Global Transformations - Schema, as it is the correct method to set all incoming columns to match a single schema in Qlik Replicate12.

The error message "Failed adding supplemental logging for table" indicates that supplemental logging is not enabled on the Oracle source.

Supplemental logging must be enabled to capture the necessary changes for replication.

To fix this error, you should enable supplemental logging on the Oracle database for the specific table or tables.

This can usually be done by executing the following SQL command on the Oracle source:

ALTER DATABASE ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;

Verify that the logging is enabled and then retry the replication task. This solution aligns with the troubleshooting steps provided in the Qlik Replicate documentation for dealing with supplemental logging errors.

The error message “Failed adding supplemental logging for table ‘Table name’” indicates that supplemental logging has not been enabled for the table in the Oracle source database. Supplemental logging is necessary for Qlik Replicate to capture the changes in the Oracle database accurately, especially for Change Data Capture (CDC) operations.

To resolve this error, you should:

Enable supplemental loggingat the database level by executing the following SQL command in the Oracle database:

ALTER DATABASE ADD SUPPLEMENTAL LOG DATA;

This command enables minimal supplemental logging, which is required for Qlik Replicate to function correctly1.

If you need to enable supplemental logging for all columns, you can use the following SQL command:

ALTER DATABASE ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;

This ensures that all necessary column data is logged for replication purposes1.

After enabling supplemental logging, verify that it is active by querying thev$databaseview:

SELECT supplemental_log_data_min FROM v$database;

The correct return value should be ‘YES’, indicating that supplemental logging is enabled1.

The other options provided are not directly related to the issue of supplemental logging:

A. Contact the Oracle DBA: While contacting the DBA might be helpful, the specific action needed is to enable supplemental logging.

B. Check the permission on the target endpoint: Permissions on the target endpoint are not related to the supplemental logging requirement on the source database.

D. Check the permission of the source endpoint: Permissions on the source endpoint are important, but the error message specifically refers to the need for supplemental logging.

Therefore, the verified answer isC. Enable supplemental logging, as it directly addresses the requirement to fix the error related to supplemental logging in Qlik Replicate21.

In the Qlik Enterprise Manager Analytics GUI, users can view messages related to both server and task trends. This includes:

Server-specific trends: These are metrics and trends related to the performance and usage of the servers, such as memory consumption and disk usage1.

Task-specific trends: These include metrics and trends specific to individual tasks, such as the number of tables and records processed, throughput, and the number of changes applied1.

Therefore, the correct answer isD. Server and task trends, as the Analytics tab in Qlik Enterprise Manager allows users to review trends over a specific time period for both servers and tasks.Users can filter the data to show information for a particular timeframe and for particular tasks, Replicate servers, source databases, and target databases2.

For more detailed information on the types of messages and trends that can be viewed in the Qlik Enterprise Manager Analytics GUI, you can refer to the official Qlik documentation onAnalytics dashboardsandAnalytics.

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.

The Qlik Replicate diagnostic package is designed to assist in troubleshooting task-related issues. When you generate a task-specific diagnostics package, it includes the task log files and various debugging data. The contents of the diagnostics package are crucial for the Qlik Support team to review and diagnose any problems that may arise during replication tasks.

According to the official Qlik documentation, the diagnostics package contains:

Task log files

Various debugging data

While the documentation does not explicitly list “Statistics, Task Status, and Metadata” as part of the diagnostics package, these elements are typically included in the debugging data necessary for comprehensive troubleshooting.Therefore, the closest match to the documented contents of the diagnostics package would be option C, which includes Logs, Statistics, Task Status, and Metadata123.

It’s important to note that the specific contents of the diagnostics package may vary slightly based on the version of Qlik Replicate and the nature of the task being diagnosed. However, the provided answer is based on the most recent and relevant documentation available.

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.

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.