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Qlik Replicate Certification Exam Sample Questions (Q39-Q44):

NEW QUESTION # 39
Where are the three options in Qlik Replicate used to read the log files located? (Select three.)

A. In Data directory of Installation
B. In Windows Event log
C. In Enterprise Manager
D. In External monitoring tool
E. In Monitor of Qlik Replicate
F. In Diagnostic package

Answer: A,E,F

Explanation:
In Qlik Replicate, the options to read the log files are located in the following places:
In Diagnostic package (B): The diagnostic package in Qlik Replicate includes various log files that can be used for troubleshooting and analysis purposes1.
In Data directory of Installation (D): The log files are written to the log directory within the data directory.This is the primary location where Qlik Replicate writes its log files, and it is not possible to change this location2.
In Monitor of Qlik Replicate (E): The Monitor feature of Qlik Replicate allows users to view and manage log files.Users can access the Log Viewer from the Server Logging Levels or File Transfer Service Logging Level sub-tabs1.
The other options provided do not align with the locations where log files can be read in Qlik Replicate:
A: In Windows Event log: This is not a location where Qlik Replicate log files are stored.
C: In External monitoring tool: While external monitoring tools can be used to read log files, they are not a direct feature of Qlik Replicate for reading log files.
F: In Enterprise Manager: The Enterprise Manager is a separate component that may manage and monitor multiple Qlik Replicate instances, but it is not where log files are directly read.
Therefore, the verified answers areB,D, andE, as they represent the locations within Qlik Replicate where log files can be accessed and read21.

NEW QUESTION # 40
Theconnection to the source endpoint is unavailable over several days. The log files contain only 2 hours of data before being deleted. Which Is the safest way to create a consistent state in the target endpoint?

A. Resume task and ignore warnings
B. Recover from a locally stored checkpoint
C. Use Reload Target Run option
D. Start processing changes from a fixed date and time

Answer: C

Explanation:
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.

NEW QUESTION # 41
AQlik Replicate administrator requires data from a CRM application that can be accessed through different methods. How should this be done?

A. Connect to the underlying RDBMS
B. Connect to the REST API provided by the application
C. Connect directly to the application
D. Export tables to CSVs in a shared folder and connect to that

Answer: B

Explanation:
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.

NEW QUESTION # 42
AQlik Replicate administrator must deliver data from a source endpoint with minimal impact and distribute it to several target endpoints.
How should this be achieved in Qlik Replicate?

A. Create a task streaming to a dedicated buffer database (e.g.. Oracle or MySQL) and consume that database in the following tasks as a source endpoint
B. Create multiple tasks using the same source endpoint
C. Create a LogStream task followed by multiple tasks using an endpoint that reads changes from the log stream staging folder
D. Create a task streaming to a streaming target endpoint (e.g., Kafka) and consume that endpoint in the following tasks as a source endpoint

Answer: D

Explanation:
Questions no:16Verified answer: = C. Create a task streaming to a streaming target endpoint (e.g., Kafka) and consume that endpoint in the following tasks as a source endpoint Step by Step Comprehensive and Detailed Explanation with all References: =To deliver data from a source endpoint with minimal impact and distribute it to several target endpoints in Qlik Replicate, the best approach is:
C: Create a task streaming to a streaming target endpoint (e.g., Kafka) and consume that endpoint in the following tasks as a source endpoint: This method allows for efficient data distribution with minimal impact on the source system.By streaming data to a platform like Kafka, which is designed for high-throughput, scalable, and fault-tolerant storage, Qlik Replicate can then use this data stream as a source for multiple downstream tasks12.
The other options are less optimal because:
A: Create a LogStream task followed by multiple tasks using an endpoint that reads changes from the log stream staging folder: While this option involves a LogStream, it does not specify streaming to a target endpoint that can be consumed by multiple tasks, which is essential for minimal impact distribution.
B: Create a task streaming to a dedicated buffer database (e.g., Oracle or MySQL) and consume that database in the following tasks as a source endpoint: This option introduces additional complexity and potential performance overhead by using a buffer database.
D: Create multiple tasks using the same source endpoint: This could lead to increased load and impact on the source endpoint, which is contrary to the requirement of minimal impact.
For more detailed information on how to set up streaming tasks to target endpoints like Kafka and how to configure subsequent tasks to consume from these streaming endpoints, you can refer to the official Qlik documentation onAdding and managing target endpoints.

NEW QUESTION # 43
How can a source be batch-loaded automatically on a daily basis?

A. Set trigger through Advanced Run options
B. Set trigger through server scheduler
C. Enable task on full load and apply changes
D. Set trigger through Task Designer

Answer: B

Explanation:
To batch-load a source automatically on a daily basis in Qlik Replicate, you would typically use a server scheduler. Here's how it can be done:
Set trigger through server scheduler (A): You can configure a scheduler on the server where Qlik Replicate is running to trigger the batch load process at a specified time each day.This could be done using the operating system's built-in task scheduler, such as Windows Task Scheduler or cron jobs on Linux systems1.
The scheduler would execute a command or script that starts the Qlik Replicate task configured for batch loading.The command would utilize Qlik Replicate's command-line interface or API to initiate the task1.
This approach allows for precise control over the timing of the batch load and can be adjusted to meet the specific scheduling requirements of the data replication process1.
The other options provided are not typically used for setting up an automatic daily batch load:
B: Set trigger through Advanced Run options: While Advanced Run options provide various ways to run tasks, they do not include a scheduling function for daily automation.
C: Set trigger through Task Designer: Task Designer is used for designing and configuring tasks, not for scheduling them.
D: Enable task on full load and apply changes: This option would start the task immediately and is not related to scheduling the task on a daily basis.
Therefore, the verified answer isA. Set trigger through server scheduler, as it is the method that allows for the automation of batch loading on a daily schedule1.

NEW QUESTION # 44
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