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NEW QUESTION 22
Refer to the exhibit.
QSDA2022-aba1ef9dfc9ce7cae218dc7c9fc332ab.jpg
USER1 has an app protected using this Section Access statement.
Which countries can USER1 see in the app''

  • A. Germany. Italy, United Kingdom, The Netherlands
  • B. Germany Italy, The Netherlands
  • C. Italy, United Kingdom, The Netherlands
  • D. Italy, The Netherlands

Answer: C

 

NEW QUESTION 23
QSDA2022-f22fbdb12473f107b04f806970f72299.jpg
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?

  • A. 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
  • B. 1. Generate a Cartesian JOIN between productid and date in a Combined table
    2. LEFT JOIN the Combined table with theOriginal 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
  • C. 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
  • D. 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

Answer: A

 

NEW QUESTION 24
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:
QSDA2022-080e7073d6cdb6e5cf39179c5ad1ce4b.jpg
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 the following to the end of the script:
    TAG FIELD LocationName With 'Sgeodata1, 'Srelated'; TAG FIELD Point With 'Sgeodata', 'Srelated1;
  • B. Add GeoKakePoint (Lat, Long} as Point to Location's preceding load
  • C. 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';
  • D. Define Location as a master item, and set the tag to Sgeodata
  • E. Add GeoProject{' Point' , Lat&Long) AS Point to the preceding load

Answer: C,E

 

NEW QUESTION 25
Refer to the exhibit.
QSDA2022-dc28326de9d29821025b141bd36144e9.jpg
This table contains information about the number of admissions and discharges of patients in a hospital. The values can be positive or negative. The data architect needs to create an extra column that contains the number of patients that are currently in the hospital.
Which script should the data architect use ?
A)
QSDA2022-491571bb7a0ddcf43b6fc7d07bdbf18e.jpg
B)
QSDA2022-dcaadf7d67b1379611c437ecd6f4653f.jpg
C)
QSDA2022-34237707e091770c19dd44c03bb3d6de.jpg
D)
QSDA2022-523c3f74472d8f3847634bfa88805cba.jpg

  • A. Option A
  • B. Option B
  • C. Option D
  • D. Option C

Answer: A

 

NEW QUESTION 26
......

ExolTechUSexo_78f090f5acdf2299fb13b9d8fed7631e.jpg