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QREP Training Questions & Reliable QREP Dumps Ppt
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Qlik QREP Exam Syllabus Topics:
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Qlik Replicate Certification Exam Sample Questions (Q47-Q52):
NEW QUESTION # 47
Which open API methods are supported in Qlik Enterprise Manager?
- A. JavaScript. REST SDK. NET SDK
- B. REST SDK. NET SDK. Python SDK
- C. HTTP APIs. REST SDK. Python SDK
- D. gcloud. NET SDK. Python SDK
Answer: B
Explanation:
Qlik Enterprise Manager supports a range of open API methods that allow for programmatic interaction with the system. The supported API methods are:
REST SDK: This provides a RESTful interface for interacting with Qlik Enterprise Manager, allowing for operations such as viewing task details, running tasks, and exporting or importing task definitions12.
.NET SDK: The .NET SDK enables developers to use .NET languages to interact with Qlik Enterprise Manager, facilitating integration with other .NET applications3.
Python SDK: The Python SDK allows for scripting and automation of tasks in Qlik Enterprise Manager using Python, which is particularly useful for data scientists and analysts who prefer Python for data-related tasks3.
These API methods enable automation, integration with enterprise dashboards, and the ability to perform batch operations, among other tasks3.Therefore, the correct answer isC. REST SDK, .NET SDK, Python SDK, as these are the open API methods supported by Qlik Enterprise Manager3.
NEW QUESTION # 48
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 streaming target endpoint (e.g., Kafka) and consume that endpoint 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 dedicated buffer database (e.g.. Oracle or MySQL) and consume that database in the following tasks as a source endpoint
Answer: A
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 # 49
Where are the three options in Qlik Replicate used to read the log files located? (Select three.)
- A. In Monitor of Qlik Replicate
- B. In External monitoring tool
- C. In Enterprise Manager
- D. In Diagnostic package
- E. In Data directory of Installation
- F. In Windows Event log
Answer: A,D,E
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 # 50
Which information in Qlik Replicate can be retrieved from the server logs?
- A. Specific task information
- B. Qlik Replicate Server status
- C. Load status and performance of task
- D. Network and performance issues
Answer: B
Explanation:
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.
NEW QUESTION # 51
By default, how long is the Apply Exceptions data retained?
- A. 60 days
- B. 30 days
- C. Indefinitely
- D. 7 days
Answer: C
Explanation:
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.
NEW QUESTION # 52
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