Pass the Qlik Replicate QREP Questions and answers with ExamsMirror

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

Thestrftimefunction 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 thestrftimefunction with the%sformat 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 theSAR_H_COMMIT_TIMESTAMPand the Unix epoch start date. Here’s a breakdown of the function:

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

strftime('%s','1970-01-01 00:00:00')gives the Unix time for the epoch start date, which is0.

Subtracting the second part from the first part is not necessary in this case because the Unix epoch time is defined as the time since1970-01-01 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 usedatetimeinstead ofstrftime, which is not the correct function for this operation1.

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

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

Therefore, the verified answer isD, as it correctly uses thestrftimefunction to convert a timestamp to Unix time in Qlik Replicate1.

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.

When a Qlik Replicate administrator needs to access data from a CRM application, the most efficient and direct method is often through the application’s REST API. Here’s why:

Connect to the REST API provided by the application ©: Many modern CRM applications provide a REST API for programmatic access to their data. This method is typically supported by data integration tools like Qlik Replicate and allows for a more seamless and real-time data extraction process.The REST API can provide a direct and efficient way to access the required data without the need for intermediate steps1.

Connect directly to the application (A): While this option might seem straightforward, it is not always possible or recommended due to potential limitations in direct application connections or the lack of a suitable interface for data extraction.

Export tables to CSVs in a shared folder and connect to that (B): This method involves additional steps and can be less efficient. It requires manual intervention to export the data and does not support real-time data access.

Connect to the underlying RDBMS (D): Accessing the underlying relational database management system (RDBMS) can be an option, but it may bypass the business logic implemented in the CRM application and could lead to incomplete or inconsistent data extraction.

Given these considerations, the REST API method © is generally the preferred approach for accessing CRM application data in a structured and programmable manner, which aligns with the capabilities of Qlik Replicate213.

When the connection to the source endpoint is unavailable for an extended period, and the log files are limited to only 2 hours of data before being deleted, the safest way to ensure a consistent state in the target endpoint is to use theReload Target Run option (A). This approach is recommended because it allows for a complete refresh of the target data, ensuring that it is in sync with the source once the connection is re-established.

TheReload Target Run optionis designed to handle situations where the replication logs are not sufficient to recover the replicated state due to extended outages or log retention policies. Byreloading the target, you can be confident that the data reflects the current state of the source, without relying on potentially incomplete change logs.

Starting processing from a fixed date and time (B) or recovering from a locally stored checkpoint © would not be reliable if the logs do not cover the entire period of the outage. Resuming the task and ignoring warnings (D) could lead to inconsistencies due to missed changes.

Therefore, theReload Target Run optionis the safest method to create a consistent state in the target endpoint under these circumstances1.

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 add a new source endpoint in Qlik Replicate, in addition to the connection string, username/password, and permission to the database, the presence of transactional logs is essential. Transactional logs are crucial because they record all changes made to the database, which Qlik Replicate uses to capture the data changes that need to be replicated.

Here’s the process of adding a new source endpoint:

Access to the system: You must have access to the system where the endpoint resides.

Connection information: Provide the connection string, which includes the network address and other parameters needed to connect to the source database.

User credentials: Supply the username and password that have the necessary permissions to access the database.

Transactional logs: Ensure that transactional logs are available and accessible because Qlik Replicate uses these logs to track changes in the source database for replication purposes.

The requirement for transactional logs is consistent with the nature of Qlik Replicate’s operation, which relies on change data capture (CDC) technology to detect and replicate database changes12.

It’s important to note that while the database client (option A) and access to the database server (option D) are also important components in the overall setup, they are not specifically required to add a new source endpoint in the context of this question. File access (option B) is not directly related to the addition of a source endpoint in Qlik Replicate.

In a scenario where an operative database can commit only two engines to Qlik Replicate for initial loads, the task settings should be modified to ensure that no more than two tables are loaded at any given time. This can be achieved by:

C. Apply Full Load Settings to limit the number of engines to two: This setting allows you to specify the maximum number of concurrent table loads during the Full Load operation.By limiting this number to two, you ensure that the operative database’s capacity is not exceeded1.

The other options are not suitable because:

A. Apply Change Processing Tuning: This option is related to the CDC (Change Data Capture) phase and not the initial Full Load phase. Increasing the apply batched changes interval would not limit the number of engines used during the Full Load.

B. Qlik Replicate tasks only load one table at a time by default: This statement is not accurate as Qlik Replicate can be configured to load multiple tables concurrently, depending on the task settings.

D. Apply Full Load Tuning to read a maximum number of tables not greater than two: While this option seems similar to the correct answer, it is not a recognized setting in Qlik Replicate’s configuration options.

For detailed guidance on configuring task settings in Qlik Replicate, particularly for managing the number of concurrent loads, you can refer to the official Qlik community articles onQlik Replicate Task Configuration Options.

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.

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 theQlik Replicate Server status(D), including any issues that may impact the server’s ability to function properly and manage tasks231.

The ODBC drivers in Qlik Replicate are located in the\Replicate\bindirectory.This is supported by the documentation from Qlik, which indicates that when installing required clients such as the Microsoft ODBC Driver for SQL Server, the working directory should be changed to/bin1.Additionally, for other prerequisites involving driver locations, the instructions also refer to changing the working directory to/bin23. This consistent reference to the\bindirectory across different parts of the Qlik Replicate documentation verifies that the ODBC drivers are indeed located in the\Replicate\bindirectory.