Online Access Free QSDA2022 Exam Questions

Refer to the exhibits.

A music teacher needs to know which artists are eligible to enter this year's competition.
The teacher needs to find only the artists who have a music grade rank above two and play more than one instrument.
Which expression is needed for the Number of Instruments measure in the table?

• A.Count({$<Instrument={">=2"}, Artist={"=Grade>2"}>}Instrument)
• B.Count({S<Count(Instrument)={">=2"}, Grades={">2"}>}Instrument)
• C.Count({$<Artist={"=Count(Instrument)>=2"}, Artist={"=Grade>2"}>}Instrument)
• D.Count ({S<Artist={"=Count(Instrument)>=2M}, Grades={">2"}>}Instrument)

A data architect of an organization that has implemented Qlik Sense on Windows needs to load large amounts of data from a database that is continuously updated New records are added, and existing records get updated and deleted. Each record has a LastModified field.
All existing records are exported into aQVD file. The data architect wants to load the records into Qlik Sense efficiently.
Which steps should the data architect take to meet these requirements?

• A.1. Use a partial LOAD to load new and updated data from the database.
  2.Load the existing data from the QVD without the updated rows that have just been loaded from the database and concatenate with the new and updated records
  3. Use the PEEK function to remove the deleted rows
• B.1. Load the existing data from the QVD
  2. Load new andupdated data from the database Concatenate with the table loaded from the QVD.
  3. Create a separate table for the deleted rows and use a WHERE NOT EXISTS to remove these records
• C.1 Load the existing data from the QVD
  2. Load the new and updated data from the database without the rows that have just been loaded from the QVD and concatenate with data from the QVD
  3. Load all records from the key field from the database and use an INNER JOIN on the previous table
• D.1 Load the new and updated data fromthe database.
  2. Load the existing data from the QVD without the updated rows that have just been loaded from the database and concatenate with the new and updated records.
  3. Load all records from the key field from the database and use an INNER JOIN onthe previous table.

A company has different departments.
Executive and Sales should always be the first values in a Department filter pane.
Which script must the data architect use to meet this requirement?

• A.
• B.
• C.
• D.

A customer has a dataset that contains latitude and longitude data for service points around the country. The data is retrieved using the following statement:

It must be clear to the end user that this is geographic data. Drag and drop, map-based visualization of this data is required. Which two steps should the data architect take to support this data? (Select two.)

• A.Add GeoKakePoint (Lat, Long} as Point to Location's preceding load
• B.Add the following to the end of the script:
  TAG FIELD LocationName With 'Sgeoname', *@relates_Pt';
  TAG FIELD Point With 'Sgeopoint*f 'Srelates Location', '$hidden';
• C.Add the following to the end of the script:
  TAG FIELD LocationName With 'Sgeodata1, 'Srelated'; TAG FIELD Point With 'Sgeodata', 'Srelated1;
• D.Add GeoProject{' Point' , Lat&Long) AS Point to the preceding load
• E.Define Location as a master item, and set the tag to Sgeodata

Refer to the exhibit.

A business department is forecasting revenue within an Excel spreadsheet.
A data architect needs to include this forecast into the existing data model, and without losing any data.
Which two sets of steps will meet these requirements? (Select two.)

• A.1 Load the Excel spreadsheet using the data load editor
  2. Change the sort order by date
  3. Create a composite key out of the forecast and region 4 Connect to the existing data model
• B.1 Load the Excel spreadsheet into the data manager
  2. Use the Unpivot function
  3. Create a composite key from the date and region
  4. Connect the new table to the data model
  1 Load the Excel spreadsheet using the data manager
  2 Rename the ForecastDate field to Date 3. Disable the Region
  4 Connect to the existing data model
• C.1. Load the Excel spreadsheet using the data load editor
  2. Use the Unpivot function
  3 Use the Sum function to group the forecast by date
  4 Connect to the existing data model
• D.1. Load the Excel spreadsheet using the data load editor
  2 Use the Crosstable function to unpivot the table
  3 Create a composite key out of the date and region
  4 Connect the new table to the data model