DRAG DROP
You have a series of analytic data models and reports that provide insights into the participation rates for sports at different schools. Users enter information about sports and participants into a client application. The application stores this transactional data in a Microsoft SQL Server database. A SQL Server Integration
Services (SSIS) package loads the data into the models.
When users enter data, they do not consistently apply the correct names for the sports. The following table shows examples of the data entry issues.

You need to improve the quality of the data.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:

HOTSPOT
You have a series of analytic data models and reports that provide insights into the participation rates for sports at different schools. Users enter information about sports and participants into a client application. The application stores this transactional data in a Microsoft SQL Server database. A SQL Server Integration
Services (SSIS) package loads the data into the models.
When users enter data, they do not consistently apply the correct names for the sports. The following table shows examples of the data entry issues.

You need to create a new knowledge base to improve the quality of the sport name data.
How should you configure the knowledge base? To answer, select the appropriate options in the dialog box in the answer area.
Hot Area:

You have a data quality project that focuses on the Products catalog for the company. The data includes a product reference number.
The product reference should use the following format: Two letters followed by an asterisk and then four or five numbers. An example of a valid number is XX*55522. Any reference number that does not conform to the format must be rejected during the data cleansing.You need to add a Data Quality Services (DQS) domain rule in the Products domain.
Which rule should you use? followed by any four digits.

DRAG DROP
You administer a Microsoft SQL Server Master Data Services (MDS) model. All model entity members have passed validation.
The current model version should be committed to form a record of master data that can be audited and create a new version to allow the ongoing management of the master data.
You lock the current version. You need to manage the model versions.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area, and arrange them in the correct order.
Select and Place:

attributes. Committed versions cannot be unlocked.

HOTSPOT
You have a Microsoft SQL Server Integration Services (SSIS) package that contains a Data Flow task as shown in the Data Flow exhibit. (Click the Exhibit button.)

You install Data Quality Services (DQS) on the same server that hosts SSIS and deploy a knowledge base to manage customer email addresses. You add a DQS Cleansing transform to the Data Flow as shown in the
Cleansing exhibit. (Click the Exhibit button.)

You create a Conditional Split transform as shown in the Splitter exhibit. (Click the Exhibit button.)

You need to split the output of the DQS Cleansing task to obtain only Correct values from the EmailAddress column.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Hot Area:

corrected. The component can output not only the corrected data, but also additional columns that may be useful for you. For example – the status columns. There is one status column for each mapped field, and another one that aggregated the status for the whole record. This record status column can be very useful in some scenarios, especially when records are further processed in different ways depending on their status. Is such cases, it is recommended to use a Conditional Split component below the DQS Cleansing component, and configure it to split the records to groups based on the record status (or based on other columns such as specific field status).

DRAG DROP
You deploy a Microsoft Server database that contains a staging table named EmailAddress_Import. Each night, a bulk process will import customer information from an external database, cleanse the data, and then insert it into the EmailAddress table. Both tables contain a column named EmailAddressValue that stores the email address.
You need to implement the logic to meet the following requirements:
Email addresses that are present in the EmailAddress_Import table but not in the EmailAddress table must be inserted into the EmailAddress table.
Email addresses that are not in the EmailAddress_Import but are present in the EmailAddress table must be deleted from the EmailAddress table.
How should you complete the Transact-SQL statement? To answer, drag the appropriate Transact-SQL segments to the correct locations. Each Transact-SQL segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
Select and Place:

HOTSPOT
You have a database named DB1. You create a Microsoft SQL Server Integration Services (SSIS) package that incrementally imports data from a table named Customers. The package uses an OLE DB data source for connections to DB1. The package defines the following variables.

To support incremental data loading, you create a table by running the following Transact-SQL segment:

You need to create a DML statements that updates the LastKeyByTable table.
How should you complete the Transact-SQL statement? To answer, select the appropriate Transact-SQL segments in the dialog box in the answer area.
Hot Area:

HOTSPOT
You are testing a Microsoft SQL Server Integration Services (SSIS) package. The package includes the Control
Flow task shown in the Control Flow exhibit (Click the Exhibit button) and the Data Flow task shown in the Data
Flow exhibit. (Click the Exhibit button.)

You declare a variable named Seed as shown in the Variables exhibit. (Click the Exhibit button.) The variable is changed by the Script task during execution.

You need to be able to interrogate the value of the Seed variable after the Script task completes execution.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Hot Area:

behind and in front of the current statement. https://docs.microsoft.com/en-us/sql/integration-services/variables-window

DRAG DROP
You have a Microsoft SQL Server Integration Services (SSIS) package that loads data into a data warehouse each night from a transactional system. The package also loads data from a set of Comma-Separated Values
(CSV) files that are provided by your company’s finance department.
The SSIS package processes each CSV file in a folder. The package reads the file name for the current file into a variable and uses that value to write a log entry to a database table.
You need to debug the package and determine the value of the variable before each file is processed.Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:

debugger. http://blog.pragmaticworks.com/looping-through-a-result-set-with-the-foreach-loop

HOTSPOT
You create a Microsoft SQL Server Integration Services (SSIS) package as shown in the SSIS Package exhibit.
(Click the Exhibit button.)

The package uses data from the Products table and the Prices table. Properties of the Prices source are shown in the OLE DB Source Editor exhibit (Click the Exhibit Button.) and the Advanced Editor for Prices exhibit (Click the Exhibit button.)

You join the Products and Prices tables by using the ReferenceNr column.
You need to resolve the error with the package.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.Hot Area:

supplies data to the Merge and Merge Join transformations: set to True. order, and the sequence in which multiple columns are sorted. This property must be set for each column of sorted data. source or the upstream transformation.