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Viewing questions 11-20 out of questions
Questions # 11:

A company needs to analyze sales data based on the exchange rate of the different countries every day About 30 reports must be produced with an average of 20r000 rows each. This process is estimated to take about three hours.

Reports will be in Excel and distributed to business users according to defined security rules

Which two products should the data architect use to build this solution? (Select two.)

Options:

A.

OQIikGeoAnalytics

B.

ODAG

C.

QIikDataMarket

D.

Qlik Storytelling

E.

QIik NPrinting

Questions # 12:

Refer to the exhibit.

Question # 12

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

How should the data architect resolve the synthetic key?

Options:

A.

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

B.

Create a composite key using OrdertD and LineNo

C.

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

D.

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

Questions # 13:

A data architect wants to combine data on present and historic sales performance. The historic data is stored in a de-normalized archive, and the present data is maintained in a database. The output must be contained in a single table.

Which script should the data architect use?

A)

Question # 13

B)

Question # 13

C)

Question # 13

D)

Question # 13

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

Questions # 14:

A company generates 1 GB of ticketing data daily. The data is stored in multiple tables Business users need to see trends of tickets processed for the past. 2 years Users very rarely access the transaction-level data for a specific date. Only the past 2 years of data must be loaded which is 720 GB of data

Which method should a data architect use to meet these requirements?

Options:

A.

Load only aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data

B.

Load only aggregated data for 2 years and apply filters on a sheet for transaction data

C.

Load only 2 years of data in an aggregated app and create a separate transaction app for occasional use

D.

Load only 2 years of data and use best practices in scripting and visualization to calculate and display aggregated data

Questions # 15:

Refer to the exhibit.

Question # 15

The data architect needs to build a model that contains Sales and Budget data for each customer. Some customers have Sales without a Budget, and other customers have a Budget with no Sales

During loading, the data architect resolves a synthetic key by creating the composite key

For validation, the data architect creates a table containing Customer, Month. Sales, and Budget columns.

What does the data architect see when selecting a month?

Options:

A.

All Customers, all Budget and all Sales records

B.

Customer and Sales records for that month, but missing values for Budget

C.

Customer and Budget records for that month, but missing values for Sales

D.

Customer, Sales, and Budget records for that month

Questions # 16:

Refer to the exhibit.

Question # 16

A customer needs to load forecast data from an Excel file.

Which preceding load statement should the data architect use to load the data?

A)

Question # 16

B)

Question # 16

C)

Question # 16

D)

Question # 16

Options:

A.

Option

B.

Option

C.

Option

D.

Option

Questions # 17:

A global retailer has a large database in which millions of sales transactions are added per hour.

Each regional sales manager should only see details for customers in their region. After filtering based on criteria such as region, gender, and income level, sales managers should be able to see the most current detailed transactions.

What should a data architect do to meet these requirements?

Options:

A.

Create an app for each sales manager with Qlik GeoAnalytics

B.

Use section access and include a service account in the table

C.

Use On-Demand App Generation (ODAG) and section access

D.

Use section access to restrict sales manager access by region

Questions # 18:

A data architect needs to revise an existing app.

The number of data rows has grown rapidly recently. While the app is in production, users are becoming increasingly unhappy about the response times when they make selections

Which two methods should be used to improve performance? (Select two.)

Options:

A.

Use dynamic script generation with variables

B.

Denormalize the schema

C.

Make sure any Ul variables are preceded by '='

D.

Use flags in the data model to simplify set analysis

E.

Create master items for all complex expressions

Questions # 19:

Refer to the exhibit.

Question # 19

A data architect has a data model that includes historical order fulfillment centers. The order fulfillment centers occasionally changed location. The history of order fulfillment must be tracked on a per center, per location basis.

Which scripting function should the data architect use to meet this data modeling requirement?

Options:

A.

IntervalMatch

B.

Peek

C.

ApplyMap

D.

Inner Join

Questions # 20:

Refer to the exhibit.

Question # 20

Question # 20

Refer to the exhibits.

While using an app, the users report that some Sales Reps do NOT have personal details, like Division or Address Number A data architect has been called in to investigate.

The data architect uses the data model viewer to determine the relationship between the SalesRepMaster and CustomerMaster tables.

What is the cause of the issue?

Options:

A.

26 values for Sales Rep are null in CustomerMaster

B.

40.7% of the Sales Rep have CustomerMaster information

C.

59.3% of the Sales Rep have CustomerMaster information

D.

Density is 100% while Total Distinct and Present Distinct are NOT the same

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