Qlik QREP Dumps - Pass Qlik Replicate Certification Exam in First Attempt 2026

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 attrep_apply_exceptions table in Qlik Replicate is used for troubleshooting specific issues that occur during the data replication process. Based on the documentation and community discussions, the two situations where this table can be particularly useful are:

Apply conflicts (B): This table records errors related to conflicts that occur when applying changes to the target system. For instance, if there is a primary key violation or a constraint failure, the details of the conflict are logged in this table1.

Data errors (E): The table also captures errors related to the data itself, such as missing data or data type mismatches. If a record cannot be applied due to data-related issues, the error message and the statement that caused the error are stored in the attrep_apply_exceptions table2.

The attrep_apply_exceptions table is not typically used for abnormal termination (A), table errors , or environment errors (D) as these issues are generally logged elsewhere within the system or require different troubleshooting approaches. For example, abnormal terminations might be logged in system event logs, while environment errors could be related to infrastructure issues outside the scope of Qlik Replicate's control tables.

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 is D. 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 run Analytics under Qlik Enterprise Manager, it is required to have a PostgreSQL Database installed. This is because the Analytics data for Qlik Enterprise Manager is stored in a PostgreSQL database. Before using the Analytics feature, you must ensure that PostgreSQL (version 12.16 or later) is installed either on the Enterprise Manager machine or on a machine that is accessible from Enterprise Manager1.

Here are the steps and prerequisites for setting up Analytics in Qlik Enterprise Manager:

Install PostgreSQL: The setup file for PostgreSQL is included with Enterprise Manager, and it must be installed to store the Analytics data1.

Create a dedicated database and user: A dedicated database and user in PostgreSQL should be created, which will own the tables accessed by the Enterprise Manager Analytics module1.

Configure connectivity: Connectivity to the PostgreSQL repository must be configured as described in the Repository connection settings1.

Data collection and purging: Configure data collection and purging settings as described in the Analytics - Data collection and purge settings1.

Register a license: A Replication Analytics license is required to use Analytics. If you have a license, you can register it by following the procedure described in Registering a license1.

The other options provided, such as Qlik Replicate (A), Qlik Compose (B), and both Qlik Compose and Replicate (D), are not components that must be installed to run Analytics under Enterprise Manager. The essential component is the PostgreSQL Database , which serves as the backend for storing the Analytics data1.

Therefore, the verified answer is C. PostgreSQL Database, as it is the required component to run Analytics under Qlik Enterprise Manager1.

To set all incoming columns to match a single schema in Qlik Replicate, an administrator should use the Global Transformations feature. Here's the process:

Navigate to the Global Transformations section 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 the Schema option 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 Filter and C. 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 is D. Global Transformations - Schema, as it is the correct method to set all incoming columns to match a single schema in Qlik Replicate12.