Qlik QREP Exam Preparation Guide and PDF Download
Verified & Correct QREP Practice Test Reliable Source Nov 06, 2024 Updated
Qlik QREP Exam Syllabus Topics:
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NEW QUESTION # 26
Where are the three options in Qlik Replicate used to read the log files located? (Select three.)
- A. In Diagnostic package
- B. In Data directory of Installation
- C. In Monitor of Qlik Replicate
- D. In External monitoring tool
- E. In Windows Event log
- F. In Enterprise Manager
Answer: A,B,C
Explanation:
In Qlik Replicate, the options to read the log files are located in the following places:
In Diagnostic package (B): The diagnostic package in Qlik Replicate includes various log files that can be used for troubleshooting and analysis purposes1.
In Data directory of Installation (D): The log files are written to the log directory within the data directory.This is the primary location where Qlik Replicate writes its log files, and it is not possible to change this location2.
In Monitor of Qlik Replicate (E): The Monitor feature of Qlik Replicate allows users to view and manage log files.Users can access the Log Viewer from the Server Logging Levels or File Transfer Service Logging Level sub-tabs1.
The other options provided do not align with the locations where log files can be read in Qlik Replicate:
A: In Windows Event log: This is not a location where Qlik Replicate log files are stored.
C: In External monitoring tool: While external monitoring tools can be used to read log files, they are not a direct feature of Qlik Replicate for reading log files.
F: In Enterprise Manager: The Enterprise Manager is a separate component that may manage and monitor multiple Qlik Replicate instances, but it is not where log files are directly read.
Therefore, the verified answers areB,D, andE, as they represent the locations within Qlik Replicate where log files can be accessed and read21.
NEW QUESTION # 27
A customer needs to run daily reports about the changes that have occurred within the past 24 hours When setting up a new Qlik Replicate task, which option must be set to see these changes?
- A. Apply Changes
- B. Full Load
- C. Store Changes
- D. Stage Changes
Answer: C
Explanation:
To run daily reports about the changes that have occurred within the past 24 hours using Qlik Replicate, the option that must be set isStore Changes. This feature enables Qlik Replicate to keep a record of the changes that have occurred over a specified period, which in this case is the past 24 hours.
B: Store Changes: This setting allows Qlik Replicate to capture and store the changes made to the data in the source system.These stored changes can then be used to generate reports that reflect the data modifications within the desired timeframe1.
The other options are not specifically designed for the purpose of running daily change reports:
A: Apply Changes: This option is related to applying the captured changes to the target system, which is a different stage of the replication process.
C: Stage Changes: Staging changes involves temporarily storing the changes before they are applied to the target, which is not the same as storing changes for reporting purposes.
D: Full Load: The Full Load option is used to replicate the entire dataset from the source to the target, which is not necessary for generating reports based on changes within a specific timeframe.
For more information on how to configure the Store Changes option and generate reports based on the stored changes, you can refer to the official Qlik documentation and community discussions that provide insights into best practices for setting up replication tasks and managing change data2.
NEW QUESTION # 28
When utilizing LogStream staging for replication, where is the Staging folder compressed and stored?
- A. On the Qlik Replicate server
- B. On the backup server
- C. With the source endpoint
- D. With the target endpoint
Answer: A
Explanation:
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.
NEW QUESTION # 29
Which is the default port of Qlik Replicate Server on Linux?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
Explanation:
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.
NEW QUESTION # 30
Which are limitations associated with Qlik Replicate stream endpoint types (e.g.. Kafka orAzure Event Hubs)? (Select two.)
- A. The DROP and CREATE table target table preparation option is not supported
- B. The Full Load replication option is not supported
- C. The Store Changes replication option is not supported.
- D. Associated tasks filling those endpoint types cannot be stopped.
- E. The Apply Changes replication option is not supported.
Answer: A,C
Explanation:
For stream endpoint types like Kafka or Azure Event Hubs in Qlik Replicate, there are specific limitations that apply to the replication options and target table preparation options:
D: The Store Changes replication option is not supported: This limitation is explicitly mentioned for Kafka1and Azure Event Hubs23. The Store Changes mode is not supported when using these stream endpoints, meaning that changes cannot be stored for later retrieval or reporting.
E: The DROP and CREATE table target table preparation option is not supported: This is also a known limitation for Kafka as a target endpoint1. The Drop and Create table Target Table Preparation option is not supported, which affects how tables are prepared on the target side during replication.
The other options are not correct because:
A: The Apply Changes replication option is not supported: This is not listed as a limitation for Kafka or Azure Event Hubs.
B: The Full Load replication option is not supported: Full Load is supported for Kafka1.
C: Associated tasks filling those endpoint types cannot be stopped: This is not mentioned as a limitation, and tasks can typically be stopped unless otherwise specified.
For more detailed information on the limitations of using Kafka or Azure Event Hubs as target endpoints in Qlik Replicate, you can refer to the official Qlik documentation123.
NEW QUESTION # 31
During the process of handling data errors, the Qlik Replicate administrator recognizes that data might be truncated Which process should be used to maintain full table integrity?
- A. Suspend Table
- B. Ignore Record
- C. Log record to the exceptions table
- D. Stop Task
Answer: C
Explanation:
When handling data errors in Qlik Replicate, especially when data might be truncated, maintaining full table integrity is crucial. The best approach to handle this situation is to log the record to the exceptions table.
Here's why:
Log record to the exceptions table (D): This option allows the task to continue processing while ensuring that any records that could not be applied due to errors, such as truncation, are captured for review and resolution.The exceptions table serves as a repository for such records, allowing administrators to address the issues without losing the integrity of the full dataset1.
Stop Task (A): While stopping the task will prevent further data processing, it does not provide a mechanism to handle the specific records that caused the error.
Suspend Table (B): Suspending the table will halt processing for that specific table, but again, it does not address the individual records that may be causing truncation issues.
Ignore Record : Ignoring the record would mean that the truncated data is not processed, potentially leading to data loss and compromising table integrity.
Therefore, the verified answer isD. Log record to the exceptions table, as it allows for the identification and resolution of specific data errors while preserving the integrity of the overall table data12.
NEW QUESTION # 32
AQlik Replicate administrator creates a new task and runs a Full Load test The administrator turns on Change Processing, and completes the settings Which method should be used to test this task?
- A. Re-create the task.
- B. Stop the task -> Run -> Resume Processing
- C. Stop the task -> Run -> Reload Target
- D. Stop the task -> Run -> Advanced Run Options -> Start Change Processing Only
Answer: D
Explanation:
After a Qlik Replicate administrator creates a new task, runs a Full Load test, and turns on Change Processing, the method to test this task would be to:
Stop the task: This ensures that no active processes are running that could interfere with the testing.
Run -> Advanced Run Options: This step allows the administrator to access more specific settings that can control how the task is executed.
Start Change Processing Only: This option will start the Change Data Capture (CDC) phase without re-running the Full Load. It's used to test the CDC mechanism specifically, ensuring that changes made at the source are captured and applied to the target correctly.
This method is supported by best practices in the Qlik community and documentation, which suggest using the Advanced Run Options to control the task's behavior for testing purposes1. It allows the administrator to verify that the Change Processing is set up correctly and is functioning as expected without the need to reload the target or recreate the task entirely. This approach is efficient and effective for testing the CDC functionality in isolation.
NEW QUESTION # 33
Which is the path to add a new column to a single table in a task?
- A. Table Selection -> Schemas -> Add Column
- B. New Transformation -> Column -> Add Column
- C. Table Settings -> General -> Add New Column
- D. Select Table -> Transform -> Add New
Answer: C
Explanation:
To add a new column to a single table in a Qlik Replicate task, the correct path is throughTable Settings.
Here's the process you would typically follow:
Navigate to theTable Settingsof the table you wish to modify within your task.
Go to theGeneralsection.
Use the option toAdd New Column.
This process allows you to add a column directly to the table's schema as part of the task configuration. It's important to note that this action is part of the task's design phase, where you can specify the schema changes that should be applied to the data as it is replicated.
The other options listed, such asNew TransformationorSelect Table -> Transform, are not the direct paths for adding a new column to a table's schema within a task.They are related to different aspects of task configuration and transformation1.
NEW QUESTION # 34
Which three task types does Qlik Replicate support? (Select three.)
- A. LogStream to Staging Folder
- B. LogStream full load
- C. LogStream store changes
- D. Full load, apply, and store change
- E. Store changes bidirectional
- F. Scheduled full loads
Answer: A,B,D
Explanation:
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 areA,E, andF, as they represent the task types that Qlik Replicate supports according to the official documentation1.
NEW QUESTION # 35
Which are the valid task options for Kafka?
- A. Full Load and Store Change
- B. Apply Change and Store Change
- C. Full Load and Stage Change
- D. Full Load and Apply Change
Answer: D
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 topic1.
Te 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 resources21.
NEW QUESTION # 36
The Qlik Replicate administrator adds a new column to one of the tables in a task What should the administrator do to replicate this change?
- A. Change the DDL Handling Policy to accommodate this change
- B. Stop and reload the task
- C. Stop and resume the task
- D. Stop task, enable__CT tables, and resume
Answer: C
Explanation:
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.
NEW QUESTION # 37
The designer creates a replication task with the source schema name 'HR' and renames the schema in the following areas:
1. In Global Transformation, create a rule to rename schema to 'USER1'
2. In Task Settings -> Target Metadata, enter the Target table schema as 'USER2'
3. In Global Transformation, add a new column named 'SCHEMA' and expression as 'USER3' Which is the final target schema name?
- A. USER1
- B. USER3
- C. HR
- D. USER2
Answer: D
Explanation:
In Qlik Replicate, when multiple schema rename rules are applied, the final schema name isdetermined by the last applied setting that affects the schema name directly. Here's how the process works:
Global Transformationto rename schema to 'USER1': This rule will initially rename the schema from
'HR' to 'USER1'.However, this is not the final schema name as further changes are applied later in the task settings1.
Task Settings -> Target Metadatato enter the Target table schema as 'USER2': This setting overrides the previous global transformation rule and sets the target schema name to 'USER2'.This is because the Target Metadata settings are applied after the Global Transformations and directly affect the target schema name1.
Global Transformationto add a new column named 'SCHEMA' with expression as 'USER3': While this rule adds a new column with a value of 'USER3', it does not change the schema name itself.It only affects the content of a column within the tables1.
Therefore, the final target schema name, after considering all the applied settings, isD. USER2.This is because the Target Metadata setting in the task settings has the final say on the target schema name, and it is set to 'USER2'1.
NEW QUESTION # 38
The Apply batched changes to multiple tables concurrently option in a Qlik Replicate task is enabled Which Information can be stored in the attrep_apply_exceptlon Control table?
- A. Zero information are stored
- B. Information about Task_Name, Table_Name, Warning_Time, Statement, Error_description
- C. Information about Task_Name. Table_Name. Error_Time. Statement. Error
- D. Information about Task_Name. Table_Name. Warnlng_Tlme. Statement. Error
Answer: C
Explanation:
When the "Apply batched changes to multiple tables concurrently" option is enabled in a Qlik Replicate task, theattrep_apply_exceptioncontrol table stores specific information related to change processing errors. The details stored in this table include:
TASK_NAME: The name of the Qlik Replicate task.
TABLE_NAME: The name of the table.
ERROR_TIME (in UTC): The time the exception (error) occurred.
STATEMENT: The statement that was being executed when the error occurred.
ERROR: The actual error message1.
This information is crucial for troubleshooting and resolving issues that may arise during the replication process.The data in theattrep_apply_exceptiontable is never deleted, ensuring a persistent record of all exceptions1.
The other options do not accurately reflect the information stored in theattrep_apply_exceptioncontrol table:
AandBmention "Warning_Time," which is not a column in the table.
Dis incorrect because the table does store information about errors.
For more detailed information on theattrep_apply_exceptioncontrol table and its role in handling change processing errors, you can refer to the official Qlik Replicate documentation1.
NEW QUESTION # 39
Which two components are responsible for reading data from the source endpoint and writing it to the target endpoint in Full Load replication? (Select two.)
- A. TARGET_LOAD
- B. TARGET_APPLY
- C. SOURCE_CAPTURE
- D. SOURCE_UNLOAD
- E. TARGET_UNLOAD
Answer: A,D
Explanation:
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.
NEW QUESTION # 40
A Qlik Replicate administrator is working on a database where thecolumn 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?
- A. Visit the Table Settings for each table and select the Filter tab to update all affected columns using a record selection condition
- B. Visit the Table Settings for each table in a task and select the Transform tab to update all affected columns within the Output pane
- C. Define a new Global Transformation rule of the Column type, and follow the prompts to filter and rename all columns in all tables
- D. Open the Windows command line terminal and run the renamecolumn command to update all affected columns of all tables
Answer: C
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 limit1.
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 onGlobal Transformations.
NEW QUESTION # 41
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