Qlik QREP Exam Questions

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.

The server logs in Qlik Replicate provide information about the Qlik Replicate Server instance, rather than individual tasks. The logs can include various levels of information, such as errors, warnings, info, trace, and verbose details1. Specifically, the server logs can provide insights into:

Network and performance issues: These might be indicated by error or warning messages related to connectivity or performance bottlenecks.

Load status and performance of task: While the server logs focus on the server instance, they may contain information about the overall load status and performance, especially if there are server-level issues affecting tasks.

Specific task information: The server logs can include information about tasks, particularly if there are errors or warnings that pertain to task execution at the server level.

Qlik Replicate Server status: This includes general information about the server's health, status, and any significant events that affect the server's operation.

Therefore, while the server logs can potentially contain a range of information, the primary purpose is to provide details on the Qlik Replicate Server status (D), including any issues that may impact the server's ability to function properly and manage tasks231.

The goal is to convert a timestamp to Unix time (seconds since January 1, 1970).

The strftime function is used to format date and time values.

To get the Unix epoch time, you can use the command: strftime('%s',SAR_H_COMMIT_TIMESTAMP) - strftime('%s','1970-01-01 00:00:00').

This command extracts the Unix time from the timestamp and subtracts the Unix epoch start time to get the number of seconds since January 1, 1970. This is consistent with the Qlik Replicate documentation and SQL standard functions for handling date and time conversions.

To convert a timestamp to Unix time (also known as Unix epoch time), which is the number of seconds since January 1st, 1970, you can use the strftime function with the %s format specifier in Qlik Replicate. The correct syntax for this conversion is:

strftime('%s', SAR_H_COMMIT_TIMESTAMP) - strftime('%s','1970-01-01 00:00:00')

This function will return the number of seconds between the SAR_H_COMMIT_TIMESTAMP and the Unix epoch start date. Here's a breakdown of the function:

strftime('%s', SAR_H_COMMIT_TIMESTAMP) converts the SAR_H_COMMIT_TIMESTAMP to Unix time.

strftime('%s','1970-01-01 00:00:00') gives the Unix time for the epoch start date, which is 0.

Subtracting the second part from the first part is not necessary in this case because the Unix epoch time is defined as the time since 1970-01-01 00:00:00. However, if the timestamp is in a different time zone or format, adjustments may be needed.

The other options provided do not correctly represent the conversion to Unix time:

Options A and B use datetime instead of strftime, which is not the correct function for this operation1.

Option C incorrectly includes <code>datetime.datetime</code>, which is not a valid function in Qlik Replicate and seems to be a mix of Python code and SQL1.

Option E uses Time.now.strftime, which appears to be Ruby code and is not applicable in the context of Qlik Replicate1.

Therefore, the verified answer is D, as it correctly uses the strftime function to convert a timestamp to Unix time in Qlik Replicate1.

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_APPLY and D. SOURCE_CAPTURE are typically associated with the Change Data Capture (CDC) process, not the Full Load process2.

C . TARGET_UNLOAD is not a recognized component in the context of Qlik Replicate's Full Load replication.

Therefore, the correct answers are A. SOURCE_UNLOAD and E. TARGET_LOAD, as they are the components that handle the reading and writing of data during the Full Load replication process12.

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.