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Qlik QREP Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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

Topic 3

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 4

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.

Qlik Replicate Certification Exam Sample Questions (Q35-Q40):

NEW QUESTION # 35
An operative database can only commit two engines to Qlik Replicate (or initial loads at any given time. How should the task settings be modified?

A. Apply Full Load Settings to limit the number of engines to two.
B. Apply Change Processing Tuning and increase the Apply batched changes intervals to 60 seconds
C. Apply Full Load Tuning to read a maximum number of tables not greater than two.
D. Qlik Replicate tasks only load one table at a time by default, so the task settings do not need to be modified.

Answer: A

Explanation:
In a scenario where an operative database can commit only two engines to Qlik Replicate for initial loads, the task settings should be modified to ensure that no more than two tables are loaded at any given time. This can be achieved by:
C: Apply Full Load Settings to limit the number of engines to two: This setting allows you to specify the maximum number of concurrent table loads during the Full Load operation.By limiting this number to two, you ensure that the operative database's capacity is not exceeded1.
The other options are not suitable because:
A: Apply Change Processing Tuning: This option is related to the CDC (Change Data Capture) phase and not the initial Full Load phase. Increasing the apply batched changes interval would not limit the number of engines used during the Full Load.
B: Qlik Replicate tasks only load one table at a time by default: This statement is not accurate as Qlik Replicate can be configured to load multiple tables concurrently, depending on the task settings.
D: Apply Full Load Tuning to read a maximum number of tables not greater than two: While this option seems similar to the correct answer, it is not a recognized setting in Qlik Replicate's configuration options.
For detailed guidance on configuring task settings in Qlik Replicate, particularly for managing the number of concurrent loads, you can refer to the official Qlik community articles onQlik Replicate Task Configuration Options.

NEW QUESTION # 36
In Qlik Enterprise Manager Analytics, which messages can be seen in the GUI?

A. Server-specific trends, specify to a task
B. Server settings
C. Task-specific trends, specify to a task
D. Server and task trends

Answer: D

Explanation:
In the Qlik Enterprise Manager Analytics GUI, users can view messages related to both server and task trends. This includes:
Server-specific trends: These are metrics and trends related to the performance and usage of the servers, such as memory consumption and disk usage1.
Task-specific trends: These include metrics and trends specific to individual tasks, such as the number of tables and records processed, throughput, and the number of changes applied1.
Therefore, the correct answer isD. Server and task trends, as the Analytics tab in Qlik Enterprise Manager allows users to review trends over a specific time period for both servers and tasks.Users can filter the data to show information for a particular timeframe and for particular tasks, Replicate servers, source databases, and target databases2.
For more detailed information on the types of messages and trends that can be viewed in the Qlik Enterprise Manager Analytics GUI, you can refer to the official Qlik documentation onAnalytics dashboardsandAnalytics.

NEW QUESTION # 37
Which is the minimum level of permissions required for a user to delete tasks?

A. Designer
B. Admin
C. Operator
D. Viewer

Answer: A

Explanation:
According to the Qlik Replicate documentation, the minimum level of permissions required for a user to delete tasks is the Designer role. The predefined roles in Qlik Replicate come with different sets of permissions. The Admin and Designer roles have the permission to delete tasks, while the Operator and Viewer roles do not1.
Here's a breakdown of the permissions for each role related to task management:
Admin: Can create, design, and delete tasks.
Designer: Can create, design, and delete tasks.
Operator: Can perform runtime operations like start, stop, or reload targets but cannot delete tasks.
Viewer: Can view task history and other details but cannot perform task management operations like deleting tasks.

NEW QUESTION # 38
Which open API methods are supported in Qlik Enterprise Manager?

A. HTTP APIs. REST SDK. Python SDK
B. REST SDK. NET SDK. Python SDK
C. gcloud. NET SDK. Python SDK
D. JavaScript. REST SDK. NET 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 # 39
Using Qlik Replicate, how can the timestamp shown be converted to unlx time (unix epoch - number of seconds since January 1st 1970)?

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

Answer: E

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 # 40
......

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