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1. A customer must create a production app that pulls data from two sources Source 1 is a large legacy system It takes more than one hour to read and save the data to a QVD Reading from the QVD only takes 20 seconds The data only needs to be refreshed every month because it does not change very often Source 2 is a small online data source Reloading this data takes less than one minute The production app must be refreshed every hour to see the most updated data and needs both data sets to meet the analysis requirements How should the data architect set up the data reload?
A) 1. Create a QVD generation app for the legacy system only
2. Create a scheduled task to generate the QVD every month
3 Build the production app using the QVD and use ADD LOAD prefix to connect to the online data source
4. Create a task to run every hour to perform a partial reload on the production app
B) 1 Create the productioff app to connect to both data sources
2. Create a variable and set this to the last reload time using ReloadTimeQ function
3. Use an IF() statement and only load the legacy data when TodayO > 30 days from last reload 4 Create a task to run every hour to reload the production app
C) 1 Create two QVD generation apps
2- Create two scheduled tasks one runs every month and one runs every hour
3. Load the data in the production app from the QVDs
4. Create a task to run every hour to reload the production app
D) 1. Create a QVD generation app to pull both data sources in different script sections
2. Create two reload schedules from the QVD app based on the script section
3. Build the production app using the QVD files
4. Create a task to run every hour to reload the production app
2. Refer to the exhibit.
A global company recently released an app that uses much more memory than similar apps have used When reviewing data in the data manager, the data architect observes that several fields use Globally Unique Identifiers (GUIDs). There is one key field. Other fields are used for different KPIs to count the number records. The data architect must reduce the memory used as much as possible. Which steps should a data architect take to meet these requirements?
A) 1 Use the AutoNumber function to convert the linking GUIDs to numbers
2 Replace the non-key GUID fields with a flag, and use them to get a unique count for KPIs
B) 1. Use the IterNoQ function to convert the linking GUIDs to numbers
2 Replace the non-linking GUID fields with RowNo() to create an Index field and use to get a unique count for KPI
C) 1 Replace the non-key field GUIDs with RowNoQ to maintain a field that can be used to get a unique count 2. Split the linking GUID fields into five sections using the SubField function to reduce the uniqueness
D) 1 Use the AutoNumber function to convert the linking GUIDs to numbers
2. Use Indexing for non-key GUID fields to create an Index field and use to get a unique count for KPIs
3. Payroll managers need access to the payroll system to complete a quarterly report. A username and password is required to access the payroll system through an ODDC connection Only the system administrator should have access to the credentials and make updates as needed Each payroll manager who accesses the app should only see their own employees.
Which two actions are required to set up the appropriate security? (Select two.)
A) Apply security rules to the app to restrict data visibility
B) Make sure that the administrator applies security rules to the correct stream to restrict data visibility
C) Apply the correct section access to restrict data visibility
D) Make sure that the administrator applies the correct security rules to the ODBC connection
E) Make sure that the administrator creates appropriate sync rules to access the payroll system
4. Refer to the exhibits
Which corrective action should be taken to achieve the expected view?
A) Use distinct in the LOAD statement.
B) Use upper () to align the Salesperson fields
C) Alias one of the fields in the Orders table.
D) Add a link table.
5. Refer to the exhibit.
In the data load editor, the tables are loaded in the following sequence;
1 OrderHeader
2. OrderDetails
3. Products
The three tables CANNOT be modified as all fields are required.
A data architect must create a Cost of Goods Sold (COGS) field calculated as UnitCost * Quantity. Some products may NOT have UnitCost so the COGS value must be zero for these products.
How should the data architect meet this requirement?
A) 1. Create a mapping load table as the first table from the Products table
2. Create a new field to the OrderDetails table: toplyMap('unitcos^Map', ProductID, 0) * Quantity as cogs
B) 1 Join the Products and OrderDetails tables on ProductID
2. Create a new field in the OrderDetails table: Replace (Null, o, unitcost) * Quantity as cogs
C) 1. Perform a preceding load on the Products table
2. Create a new field in the OrderDetails table, if (Unitcost = nulio or *', 0) * Quantity as cogs
D) 1. Load the Products table as the first table
2. Create a new field in the OrderDetails table: Quantity * isNull (unitcost) as cogs
Solutions:
Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C,D | Question # 4 Answer: C | Question # 5 Answer: A |
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