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070-767 PDF DEMO:

QUESTION NO: 1
Note: This question is part of a series of questions that use the same or similar answer choices.
An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are loading data from an OLTP database to a data warehouse. The database contains a table named Sales.
Sales contains details of records that have a type of refund and records that have a type of sales.
The data warehouse design contains a table for sales data and a table for refund data.
Which component should you use to load the data to the warehouse?
A. the Slowly Changing Dimension transformation
B. the Conditional Split transformation
C. the Merge transformation
D. the Data Conversion transformation
E. an Execute SQL task
F. the Aggregate transformation
G. the Lookup transformation
Answer: B
Explanation
The Conditional Split transformation can route data rows to different outputs depending on the content of the data. The implementation of the Conditional Split transformation is similar to a CASE decision structure in a programming language. The transformation evaluates expressions, and based on the results, directs the data row to the specified output. This transformation also provides a default output, so that if a row matches no expression it is directed to the default output.
References:
https://docs.microsoft.com/en-us/sql/integration-services/data-
flow/transformations/conditionalsplit-Transformation

QUESTION NO: 2
Note: This question is part of a series of questions that use the same or similar answer choices.
An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are a database administrator for an e-commerce company that runs an online store. The company has the databases described in the following table.
Each day, you publish a Microsoft Excel workbook that contains a list of product names and current prices to an external website. Suppliers update pricing information in the workbook. Each supplier saves the workbook with a unique name.
Each night, the Products table is deleted and refreshed from MDS by using a Microsoft SQL Server
Integration Services (SSIS) package. All files must be loaded in sequence.
You need to add a data flow in an SSIS package to perform the Excel files import in the data warehouse.
What should you use?
A. Lookup transformation
B. Merge transformation
C. Merge Join transformation
D. MERGE statement
E. Union All transformation
F. Balanced Data Distributor transformation
G. Sequential container
H. Foreach Loop container
Answer: A
Explanation
If you're familiar with SSIS and don't want to run the SQL Server Import and Export Wizard, create an
SSIS package that uses the Excel Source and the SQL Server Destination in the data flow.
References:
https://docs.microsoft.com/en-us/sql/integration-services/import-export-data/import-data-from- excel-to-sql

QUESTION NO: 3
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.
Answer:
Explanation
You debug control flows.
The Foreach Loop container is used for looping through a group of files. Put the breakpoint on it.
The Locals window displays information about the local expressions in the current scope of the
Transact-SQL debugger.
References: https://docs.microsoft.com/en-us/sql/integration-services/troubleshooting/debugging- control-flow
http://blog.pragmaticworks.com/looping-through-a-result-set-with-the-foreach-loop

QUESTION NO: 4
You are developing a Microsoft SQL Server Integration Services (SSIS) package. You enable the
SSIS log provider for the Windows event log. You configure the package to use the ScriptTaskLogEntry event. You create a custom Script task.
You need to ensure that when the script completes, it writes the execution status to the event log on the server that hosts SSIS.
Which code segment should you add to the Script task?
A. Dts.TaskResult = (int)ScriptResults.Failure
B. Dts.Events.FireWarning (0, "SSIS", "Script executed with return result " Dts.TaskResult,
String.Empty,0)
C. System.Diagnostics.EventLog.writeEntryC'SSIS", "Script executed with return result " +
Dts.TaskResult, System.Diagnostics.EventLogEntryType.Information)
D. Dts.TaskResult = (int)ScriptResults.Success
Answer: D

QUESTION NO: 5
Note: This question is part of a series of questions that use the same or similar answer choices.
An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are designing a data warehouse and the load process for the data warehouse.
You have a source system that contains two tables named Table1 and Table2. All the rows in each table have a corresponding row in the other table.
The primary key for Table1 is named Key1. The primary key for Table2 is named Key2.
You need to combine both tables into a single table named Table3 in the data warehouse. The solution must ensure that all the nonkey columns in Table1 and Table2 exist in Table3.
Which component should you use to load the data to the data warehouse?
A. the Slowly Changing Dimension transformation
B. the Conditional Split transformation
C. the Merge transformation
D. the Data Conversion transformation
E. an Execute SQL task
F. the Aggregate transformation
G. the Lookup transformation
Answer: G
Explanation
The Lookup transformation performs lookups by joining data in input columns with columns in a reference dataset. You use the lookup to access additional information in a related table that is based on values in common columns.
You can configure the Lookup transformation in the following ways:
Specify joins between the input and the reference dataset.
Add columns from the reference dataset to the Lookup transformation output.
Etc.

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Updated: May 28, 2022