Qlik QREP Qlik Replicate Certification Exam Practice Test

Answer : A, C, F

Qlik Replicate offers several methods for parallel load during a full load process to accelerate the replication of large tables by splitting the table into segments and loading these segments in parallel. The three primary ways Qlik Replicate allows parallel loading are:

Use Data Ranges:

This method involves defining segment boundaries based on data ranges within the columns. You can select segment columns and then specify the data ranges to define how the table should be segmented and loaded in parallel.

Use Partitions - Use all partitions - Use main/sub-partitions:

For tables that are already partitioned, you can choose to load all partitions or use main/sub-partitions to parallelize the data load process. This method ensures that the load is divided based on the existing partitions in the source database.

Use Partitions - Specify partitions/sub-partitions:

This method allows you to specify exactly which partitions or sub-partitions to use for the parallel load. This provides greater control over how the data is segmented and loaded, allowing for optimization based on the specific partitioning scheme of the source table.

These methods are designed to enhance the performance and efficiency of the full load process by leveraging the structure of the source data to enable parallel processing

Answer : C

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.

Answer : C, E, E

In Qlik Replicate, when handling data errors, there are specific actions that can be configured to manage such errors. Based on the documentation, the available options for handling data errors include:

C . Log record to a specific table: This option allows for the logging of error records to a designated table for further analysis and troubleshooting1.

Answer : D

In Qlik Replicate, when multiple schema rename rules are applied, the final schema name is determined by the last applied setting that affects the schema name directly. Here's how the process works:

Global Transformation to 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 Metadata to 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 Transformation to 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, is D. 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.

Answer : D

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 is D. 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.

Answer : C

If a task has missing metadata, you need to first stop the task.

Navigate to the 'Advanced Run' options.

Select the option 'Metadata Only.'

Start the task with this setting to process the missing metadata.

Stop the task again after the metadata is added.

Resume normal task processing. This procedure ensures that only the metadata is processed without affecting the existing data on the target side. This method is recommended in Qlik Replicate documentation for handling missing metadata issues.

To add missing metadata in a Qlik Replicate task after the task has been stopped, the correct approach is to use the Advanced Run option for metadata only. Here's the process:

Select the task that requires metadata to be added.

Go to the Advanced Run options for the task.

Choose the Metadata Only option, which has two sub-options:

Recreate all tables and then stop: This will rebuild metadata for all available tables in the task.

Create missing tables and then stop: This will rebuild metadata only for the missing tables or the tables that were newly added to the task1.

By selecting the Metadata Only option and choosing to create missing tables, you can ensure that the metadata for the newly added tables is updated without affecting the existing tables and data. After this operation, you can stop the task again and then resume processing.

The other options provided are not the recommended methods for adding missing metadata:

A and D suggest dropping tables or data, which is not necessary for simply adding metadata.

B suggests reloading the target, which is not the same as updating metadata only.

Therefore, the verified answer is C, as it accurately describes the process of adding missing metadata to a Qlik Replicate task using the Advanced Run options1.

Answer : C

In Change Data Capture (CDC) mode, Batch optimized apply mode can be set based on time and/or volume.

This means that the batching of transactions can be controlled by specifying time intervals or the volume of data changes to be batched together.

This optimization helps improve performance by reducing the frequency of writes to the target system and handling large volumes of changes efficiently. The Qlik Replicate documentation outlines this option as a method to enhance the efficiency of data replication in CDC mode by batching transactions based on specific criteria.

In the Change Data Capture (CDC) mode of a Qlik Replicate task, when using the Batch optimized apply mode, the system allows for tuning based on time and/or volume. This setting is designed to optimize the application of changes in batches to the target system. Here's how it works:

Time: You can set intervals at which batched changes are applied. This includes setting a minimum amount of time to wait between each application of batch changes, as well as a maximum time to wait before declaring a timeout1.

Volume: The system can be configured to force apply a batch when the processing memory exceeds a certain threshold. This allows for the consolidation of operations on the same row, reducing the number of operations on the target to a single transaction2.

The other options provided do not align with the settings for Batch optimized apply mode in CDC tasks:

A . Source connection processes: This is not a setting related to the batch apply mode.

B . Number of changed records: While the number of changed records might affect the batch size, it is not a setting that can be directly configured in this context.

D . Maximum time to batch transactions: This option is related to the time aspect but does not fully capture the essence of the setting, which includes both time and volume considerations.

Therefore, the verified answer is C. Time and/or volume, as it accurately represents the options that can be set for Batch optimized apply mode in the CDC tasks of Qlik Replicate21.