VALID QREP TEST REGISTRATION - QREP EXAM TRAINING

Valid QREP Test Registration - QREP Exam Training

Valid QREP Test Registration - QREP Exam Training

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Tags: Valid QREP Test Registration, QREP Exam Training, New QREP Exam Duration, Dumps QREP Vce, QREP Exam Topics

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Qlik QREP Exam Syllabus Topics:

TopicDetails
Topic 1
  • Administration: For IT administrators and system managers, this section includes identifying server settings, aligning user types with roles, setting up the Enterprise Manager, and outlining various deployment options.
Topic 2
  • Troubleshooting: For support engineers and troubleshooting specialists, this section covers how to retrieve logs from tasks, configure error handling and debug logs, obtain diagnostic packages, and resolve errors using the attrep_apply_exceptions table.
Topic 3
  • Design: For data architects and system designers, this section addresses the requirements for creating and managing endpoints, understanding the architecture, choosing the correct task types and settings, and determining the appropriate transformations for specified needs.
Topic 4
  • Operations: This section deals with starting and stopping tasks, managing task metadata, and understanding best practices for operational management.

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Qlik Replicate Certification Exam Sample Questions (Q36-Q41):

NEW QUESTION # 36
By default, how long is the Apply Exceptions data retained?

  • A. 7 days
  • B. 30 days
  • C. Indefinitely
  • D. 60 days

Answer: C


NEW QUESTION # 37
Which two task logging components are associated with a Full Load to a target endpomt? (Select two.)

  • A. SOURCE UNLOAD
  • B. STREAM
  • C. TARGET_APPLY
  • D. TARGET_LOAD
  • E. FILE_TRANSFER

Answer: A,D

Explanation:
When performing a Full Load to a target endpoint in Qlik Replicate, the task logging components that are associated with this process areTARGET_LOADandSOURCE_UNLOAD.
TARGET_LOAD: This component is responsible for loading the data into the target endpoint.It represents the process where Qlik Replicate reads all columns/rows from the Source database and creates the exact same copy on the Target database1.
SOURCE_UNLOAD: This component is involved in unloading the data from the source endpoint.It is part of the Full Load process where the data is read from the source and prepared for transfer to the target2.
The other options provided are not directly associated with the Full Load process to a target endpoint:
TARGET_APPLYis related to the Change Data Capture (CDC) phase where changes from the source are applied to the target2.
FILE_TRANSFERis not a term directly associated with Qlik Replicate's logging components.
STREAMrefers to the Log Stream tasks, which is a different type of task configuration used for saving data changes from the transaction log of a single source database and applying them to multiple targets2.
For a comprehensive understanding of the task types and options in Qlik Replicate, you can refer to the official Qlik community articles onQlik Replicate Task Configuration OptionsandAn Introduction to Qlik Replicate Tasks: Full Load vs CDC.


NEW QUESTION # 38
Which are the mainhardware components to run a Qlik Replicate Task in a high performance level?

  • A. SSD. RAM
  • B. Cores. SSD. Network bandwidth
  • C. Cores.RAM
  • D. RAM. Network bandwidth

Answer: B

Explanation:
To run a Qlik Replicate Task at a high-performance level, the main hardware components that are recommended include:
Cores: A higher number of cores is beneficial for handling many tasks running in parallel and for prioritizing full-load performance1.
SSD (Solid State Drive): SSDs are recommended for optimal performance, especially when using a file-based target or dealing with long-running source transactions that may not fit into memory1.
Network bandwidth: Adequate network bandwidth is crucial to handle the data transfer requirements, with 1 Gbps for basic systems and 10 Gbps for larger systems being recommended1.
The other options do not encompass all the recommended hardware components for high-performance levels in Qlik Replicate tasks:
A: SSD, RAM: While these are important, they do not include the network bandwidth component.
B: Cores, RAM: This option omits the SSD, which is important for disk performance.
D: RAM, Network bandwidth: This option leaves out the cores, which are essential for processing power.
For detailed hardware recommendations for different scales of Qlik Replicate systems, you can refer to the official Qlik documentation onRecommended Hardware Configuration.


NEW QUESTION # 39
Two companies are merging Both companies have IBM DB2 LUW running The Qhk Replicate administrator must merge a database (12 TB of data) into an existing database (15 TB of data). The merge will be done by IBM load.
Which approach should the administrator use?

  • A. Continue to run the task
  • B. Create a new task after finishing IBM load
  • C. Stop task, finish IBM load, reload target
  • D. Stop task, wait until IBM load finishes, and then resume the task

Answer: D

Explanation:
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.


NEW QUESTION # 40
Using Qlik Replicate, how can the timestamp shown be converted to unlx time (unix epoch - number of seconds since January 1st 1970)?

  • A. SELECT datetime<1092941466, 'unixepoch*, 'localtime');
  • B. strftime*'%s,,SAR_H_COMMIT_TIMESTAMP) - strftime('%s','1970-01-01 00:00:00')
  • C. Time.now.strftime(%s','1970-01-01 00:00:00')
  • D. strftime('%s*,SAR_H_COMMIT_TIMESTAMP) - <code>datetime.datetime</code>('%s','1970-01-01
    00:00:00')
  • E. SELECT datetime(482340664, 'localtime', 'unixepoch');

Answer: B

Explanation:
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 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 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.


NEW QUESTION # 41
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