Free Qlik QREP Practice Exam with Questions & Answers

When loading data into a Cloud Storage Data Warehouse like Snowflake, Synapse, Redshift, or Big Query, the type of storage required for the COPY statement isObject Storagesuch as Azure Data Lake Storage (ADLS), Amazon S3, or Google Cloud Storage (GCS). This is because these cloud data warehouses are designed to directly interact with object storage services, which are scalable, secure, and optimized for large amounts of data.

For example, when using Microsoft Azure Synapse Analytics as a target endpoint in Qlik Replicate, the COPY statement load method requires the Synapse identity to be granted “Storage Blob Data Contributor” permission on the storage account, which is applicable when using either Blob storage or ADLS Gen2 storage1.Similarly, for Amazon S3, the Cloud Storage connector in Qlik Application Automation supports operations with files stored in S3 buckets2.The prerequisites for using Azure Data Lake Storage (ADLS) Gen2 file system or Blob storage location also indicate the necessity of these being accessible from the Qlik Replicate machine3.

Therefore, the correct answer isD. Object Storage (ADLS, S3, GCS), as these services provide the necessary infrastructure for the COPY statement to load data efficiently into cloud-based data warehouses.

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.

When merging databases, especially of such large sizes (12 TB and 15 TB), it is crucial to ensure data integrity and consistency. The recommended approach is to:

Stop the Replication Task: This is important to prevent any changes from being replicated to the target while the IBM load process is ongoing.

Perform the IBM Load: Execute the IBM load to merge the database into the existing database.

Resume the Replication Task: Once the IBM load has been successfully completed, the replication task can be resumed.

This approach ensures that the data loaded via IBM load is not missed or duplicated in the target database. It also allows Qlik Replicate to continue capturing changes from the point where the task was stopped, thus maintaining the continuity of the replication process.

It’s important to note that creating a new task after the IBM load (Option D) could lead to complexities in managing the data consistency and might require additional configuration. Continuing to run the task (Option C) could result in conflicts or data integrity issues during the load process. Therefore, Option B is the safest and most reliable approach to ensure a smooth merge of the databases.

For further details and best practices, you can refer to the official Qlik Replicate documentation and support articles which provide guidance on similar scenarios1234.

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.

In Qlik Replicate, notifications can be set up for various events related to tasks, endpoints, and the server itself. The types of notifications that can be configured include:

Task Events: Notifications for task-based events, such as when a task starts or stops, when latency is too high, or when specific errors occur1.

Endpoint Events: While the search results did not explicitly mention “Endpoint Events,” it is common in replication tools to have notifications related to endpoints, such as connectivity issues or endpoint-specific errors.

Server Events: Notifications related to the server, which could include system state changes, performance issues, or server-level errors2.

Therefore, the correct answer isC. Server Events, Endpoint Events, and Task Events, as Qlik Replicate allows setting up notifications for all these types of events. This ensures that administrators are alerted to a wide range of potential issues, allowing for prompt response and resolution.

For detailed instructions on how to set up each type of notification in Qlik Replicate, you can refer to the official Qlik documentation, which provides step-by-step guidance on defining and managing notifications for task events, server events, and other significant occurrences within the replication environment132.

When encountering table errors in Qlik Replicate, the escalation policy is set toStop Taskand cannot be changed. This means that if the number of table errors reaches a specified threshold, the task will automatically stop, requiring manual intervention to resolve the issue.

The escalation action for table errors is specifically designed to halt the task to prevent further errors or data inconsistencies from occurring.This is a safety measure to ensure that data integrity is maintained and that any issues are addressed before replication continues1.

The other options listed are not escalation actions for table errors:

A. Log Record to the Exceptions Table: While logging errors to the exceptions table is a common action, it is not an escalation action.

B. No Escalate Action: This is not a valid option as there is a specific escalation action defined for table errors.

C. Suspend Table: Suspending a table is a different action that can be taken in response to errors, but it is not the defined escalation action for table errors in Qlik Replicate.

For more information on error handling and escalation actions in Qlik Replicate, you can refer to the official Qlik Replicate Help documentation, which provides detailed guidance on configuring error handling policies and actions for various types of errors1.

The Apply Exceptions data in Qlik Replicate is retained indefinitely by default. This means thatthe data related to apply exceptions, which includes error records and other relevant information, is not automatically purged after a certain period.

The retention of Apply Exceptions data is crucial for ongoing monitoring and troubleshooting of replication tasks. It allows administrators to review and address any issues that have occurred over the life of the task.

According to the Qlik Replicate documentation, theattrep_apply_exceptionstable, which records processing errors, does not have an automated deletion process.This table includes columns for the task name, table owner, table name, error time (in UTC), statement being executed when the error occurred, and the actual error message1.

This indefinite retention policy ensures that administrators have a complete historical record of all exceptions that have occurred, which can be invaluable for diagnosing and resolving issues with replication tasks. However, it’s important for administrators to manage the size of this table manually to prevent it from growing too large, which could potentially impact system performance.

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.

To download the task diagnostic package in Qlik Replicate, you need to follow these steps:

Open the task from the overview in the Qlik Replicate Console.

Switch to theMonitorview.

Click on theToolstoolbar button.

Navigate toSupport.

SelectDownload Diagnostic Package1.

This process will generate a task-specific diagnostics package that contains the task log files and various debugging data that may assist in troubleshooting task-related issues. Depending on your browser settings, the file will either be automatically downloaded to your designated download folder, or you will be prompted to download it.The file will be named in the format__diagnostics__.zip12.

The other options provided do not accurately describe the process for downloading a diagnostic package in Qlik Replicate:

Bis incomplete and does not provide a valid path.

Cincorrectly suggests going to server settings and logging, which is not the correct procedure.

Dsuggests a method that is not documented in the official Qlik Replicate help resources.

Therefore, the verified answer isA, as it correctly outlines the steps to download a diagnostic package in Qlik Replicate12.

For Qlik Replicate’s Change Data Capture (CDC) process, the valid source endpoint types include:

A. Classic Relational RDBMS: These are traditional relational database management systems that support CDC.Qlik Replicate can capture changes from these systems using log-based CDC tools which are integrated to work with most ETL tools1.

C. SAP ECC and Extractors: SAP ECC (ERP Central Component) and its extractors are also supported as source endpoints for CDC in Qlik Replicate.This allows for the replication of data changes from SAP’s complex data structures1.

The other options provided are not typically associated with CDC in Qlik Replicate:

B. MS Dynamics direct access: While Qlik Replicate can connect to various data sources, MS Dynamics is not commonly listed as a direct source for CDC.

D. Generic REST APIs Data Lake file formats: REST APIs and Data Lake file formats are not standard sources for CDC as they do not maintain transaction logs, which are essential for CDC to track changes.

For detailed information on setting up source endpoints and enabling CDC, you can refer to the official Qlik documentation and community articles that discuss the prerequisites and configurations needed for various source endpoints2345.