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Qlik QREP Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

Operations: This section deals with starting and stopping tasks, managing task metadata, and understanding best practices for operational management.

Topic 3

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 4

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.

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

NEW QUESTION # 36
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. SELECT datetime(482340664, 'localtime', 'unixepoch');
C. strftime('%s*,SAR_H_COMMIT_TIMESTAMP) - <code>datetime.datetime</code>('%s','1970-01-01
00:00:00')
D. strftime*'%s,,SAR_H_COMMIT_TIMESTAMP) - strftime('%s','1970-01-01 00:00:00')
E. Time.now.strftime(%s','1970-01-01 00:00:00')

Answer: D

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 # 37
Which components can be controlled with Qlik Enterprise Manager?

A. Qlik Replicate.Qlik Compose. Qlik Sense
B. Qlik Replicate. Qlik Compose. Qlik Catalog
C. Qlik Replicate on Windows.Qlik Compose
D. Qlik Replicate. Qlik Compose

Answer: B

Explanation:
Qlik Enterprise Manager provides a centralized command center to configure, execute, and monitor data replication and transformation tasks across the enterprise. It is specifically designed to manage and control Qlik Replicate and Qlik Compose tasks.Additionally, it integrates with Qlik Catalog to automatically catalog data assets generated by Qlik Replicate directly in Qlik Catalog1.This integration allows for tracking end-to-end data lineage, which improves compliance, governance, and trust in the data assets managed within Qlik Catalog1.
The documentation clearly states that Qlik Enterprise Manager is used to design, execute, and monitor Qlik Replicate and Qlik Compose tasks, and it also mentions the integration with QlikCatalog for data asset management2. However, there is no mention of Qlik Sense being controlled by Qlik Enterprise Manager.Qlik Sense is a separate product for data visualization and analytics, and its management is not within the scope of Qlik Enterprise Manager's functionalities as described in the available resources12.
Therefore, the correct answer isC. Qlik Replicate, Qlik Compose, Qlik Catalog, as these are the components that can be controlled with Qlik Enterprise Manager.

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

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

Answer: D

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
Which are valid source endpoint types for Qlik Replicate change processing (CDC)? (Select two )

A. Generic REST APIs Data Lake file formats
B. Classic Relational RDBMS
C. MS Dynamics direct access
D. SAP ECC and Extractors

Answer: B,D

Explanation:
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.

NEW QUESTION # 40
In which two situations can the attrep_apply_exceptions table be used for troubleshooting? (Select two.)

A. Apply conflicts
B. Environment errors
C. Table errors
D. Data errors
E. Abnormal termination

Answer: A,D

Explanation:
Theattrep_apply_exceptionstable in Qlik Replicate is used for troubleshooting specific issues that occur during the data replication process. Based on the documentation and community discussions, the two situations where this table can be particularly useful are:
Apply conflicts (B): This table records errors related to conflicts that occur when applying changes to the target system.For instance, if there is a primary key violation or a constraint failure, the details of the conflict are logged in this table1.
Data errors (E): The table also captures errors related to the data itself, such as missing data or data type mismatches.If a record cannot be applied due to data-related issues, the error message and the statement that caused the error are stored in theattrep_apply_exceptionstable2.
Theattrep_apply_exceptionstable is not typically used forabnormal termination (A),table errors , orenvironment errors (D)as these issues are generally logged elsewhere within the system or require different troubleshooting approaches. For example, abnormalterminations might be logged in system event logs, while environment errors could be related to infrastructure issues outside the scope of Qlik Replicate's control tables.

NEW QUESTION # 41
......

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