Weekend Special Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code = simple70

Home
Qlik
Qlik Sense Data Architect
QSDA2022
Qlik Sense Data Architect Certification Exam–2022 Questions and Answers

Pass the Qlik Sense Data Architect QSDA2022 Questions and answers with ExamsMirror

Practice at least 50% of the questions to maximize your chances of passing.

Exam QSDA2022 Premium Access

View all detail and faqs for the QSDA2022 exam

Go to Exam

409 Students Passed

92% Average Score

95% Same Questions

Viewing page 1 out of 3 pages

Viewing questions 1-10 out of questions

Questions # 1:

Refer to the exhibit.

Question # 1

What are the values of the variables vLoadStart and vLoadComplete after the script executes?

Options:

vLoadStart; 'NOW{)'

vLoadComplete: current system date and time when the script ended

vLoadStart: system date when the app was opened vLoadComplete 'now()'

vLoadStart: system date when the app was opened vLoadComplete: current system date and time when the script ended

vLoadStart: current system date and time when the script started vLoadComplete: 'now()'

Answer

Explanation

vLoadStart variable is assigned the current system date and time when the script starts, and vLoadComplete variable is assigned the current system date and time when the script ends.

Questions # 2:

A data architect executes the following script:

Question # 2

What will Field_1 contain after this script is executed?

Options:

Abed, abed, ABCD

abcd

Abcd, abcd

Abed, abed, ABCD, ABCDABCD

Answer

Questions # 3:

Refer to the exhibit.

Question # 3

A data architect is loading the tables and a synthetic key is generated.

How should the data architect resolve the synthetic key?

Options:

Create a composite key using OrderlD and LineNo

Remove the LineNo field from Shipments and use the AutoNumber function on the OrderlD field

Remove the LineNo field from both tables and use the AutoNumber function on the OrderlD field

Create a composite key using OrderlD and LineNo, and remove OrderlD and LineNo from Shipments

Answer

Explanation

This is the recommended approach to resolving synthetic keys, as it allows you to maintain the integrity of the data by combining two or more fields into a single key. The composite key can then be used to join the two tables together, ensuring that the data is consistent and accurate.

Questions # 4:

Refer to the exhibit.

Question # 4

While performing a data load from the source shown, the data architect notices it is NOT appropriate for the required analysis.

The data architect runs the following script to resolve this issue:

Question # 4

Options:

Answer

Questions # 5:

A data architect is developing an app that will generate QVDs for multiple business analysts. The field naming conventions on the source data are NOT business friendly. For every table loaded, multiple fields will require a name change.

An Excel file is maintained centrally that lists all source data field names and the appropriate names as they should appear in the QVDs

Which strategy should the data architect use to meet these requirements?

Options:

Use the Rename function and a mapping load

Create master items using business-friendly names

Use the Alias function and a mapping load

Load in the Excel file as a data island and use the Peek function

Answer

Explanation

The Rename function allows the data architect to rename fields from the source data to the names specified in the Excel file. The mapping load allows the data architect to load the mapping between the source field names and the business-friendly names from the Excel file. The other options, Create master items using business-friendly names, Use the Alias function and a mapping load, and Load in the Excel file as a data island and use the Peek function, are not valid strategies for meeting these requirements.

Questions # 6:

A data architect needs to arrange data to create an app with a map where multiple location points consolidate into hexagonal areas based on postal codes

The areas will be color coded based on the number of vendors in the location.

Which GeoAnalytics operation should the data architect use?

Options:

Binning

Intersect

AddressLookup

Simplify

Answer

Explanation

Binning is a GeoAnalytics operation that can be used to arrange data into hexagonal areas based on postal codes. The areas can then be color coded based on the number of vendors in the location.Source: Qlik

Binning is a GeoAnalytics operation that allows data points to be grouped into hexagonal areas based on a geographic field, such as postal codes. The data architect can use binning to group the location points by postal code and then color code the resulting hexagonal areas based on the number of vendors in each location.

This operation is useful for visualizing spatial data and identifying patterns or trends in the data.

Questions # 7:

A data architect plans to build an app that contains geographically diverse data that must be specific to user run-time selections. The source contains transactional data. The app must have minimal impact on already limited server resources.

Which approach should the data architect use?

Options:

Loop and Reduce

QVDs

In-memory

ODAG

Answer

Explanation

Using QVDs is the best approach for this scenario, as it allows the data to be stored in a highly compressed format, which will have minimal impact on server resources. Additionally, QVDs can be loaded quickly, which allows for faster access to the data based on user run-time selections. The other options, Loop and Reduce, In-memory, and ODAG, are not valid strategies for this scenario.

Questions # 8:

Question # 8

Refer to the exhibits.

The first table shows the source table (Original table).

This data represents the stocks stored every month for each product:

• The relevant fields are productid, qty, and date.

• The date field represents the calendar months using

• The qty field shows the product stock fluctuation from the current month versus the previous month. If there is no fluctuation between months, there are no new entries in the table.

The second table shows a Pivot table visualization the data analyst needs to create in the app displaying per each product the monthly trend of available stock.

For performance reasons, the data analyst requests the data architect to calculate the running stock quantity of each product for every month in the script.

Which approach should the data architect use?

Options:

1 Generate a Cartesian JOIN between productid and date in a Combined table

2 RIGHT JOIN the Combined table with the Original table to populate the missing qty values

3. Use PREVIOUS() and RANGESUMQ functions to create the running quantity totals for each product for every month

1. Generate a Cartesian JOIN between productid and date in a Combined table

2. LEFT JOIN the Combined table with the Original table to populate the missing qty values

3. Use PREVIOUSO and SUM() functions to create the running quantity totals for each product for every month

1. Generate a Calendar table with all dates between the minimum and maximum date values in an Original table

2. RIGHT JOIN the Calendar table back to the Original table to populate the missing qty values

3. Use PEEK() and RANGECOUNTO functions to create the running quantity totals for each product for every month

1 Generate a Calendar table with all dates between the minimum and maximum date values in an Original table

2. LEFT JOIN the Calendar table back to the Original table to populate the missing qty values

Answer

Questions # 9:

A data architect is building a model to show trends in visualizations across seven date fields. The seven date fields reside in different tables. The data architect must efficiently build this data model.

Requirements:

• A single date selector

• Show all dates, even those with NO activity

• Minimize the impact on server resources and p

Which two solutions should the data architect use? (Select two.)

Options:

Canonical calendar

Generic load

Data island

Multiple calendars

Link table

Answer

A, E

Explanation

A canonical calendar should be used to create a single date selector that can be used to show all dates, even those with no activity. A link table should be used to join the seven date fields from different tables, which will minimize the impact on server resources and performance.Source: Qlik

Questions # 10:

A data architect needs to upload different data sources. To properly handle null values, the data architect decides to set all of these values to "Missing Value".

Which syntax should the data architect use?

Options:

NullAsValue*; Set NullValues = 'Missing Value';

NullasNull *;

Set NullValues = 'Missing Value';

NullasNull *;

Set NullValue = 'Missing Value';

NullAsValue*;

Set NullValue = 'Missing Value';

Answer

Explanation

This syntax will set all null values to "Missing Value" in the data sources. The other options are not valid syntax and will not achieve the desired result.

Viewing page 1 out of 3 pages

Viewing questions 1-10 out of questions