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070-767 PDF DEMO:

QUESTION NO: 1
Your company manufactures several types of products.
The company has a production tracking application that stores the following data about the products:
The production date
The cost of production
The names of the products
The amount of waste created
The number of products produced
The name of the facility where the products are produced
You are designing a data warehouse for the data. You add a Date dimension.
You need to ensure that you can create a composite primary key for the fact table.
Which two columns should you add to the new dimension tables? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Cost of Production
B. Amount Produced
C. Waste Amount
D. Product Name
E. Facility Name
Answer: D E

QUESTION NO: 2
You have a data warehouse that includes a table named [Fact]. [sales]. The table has four partitions. There are no foreign keys defined on the [Fact].[sales] table.
You identify an issue with the first partition. You must reload the data for the first partition as quickly as possible.
You need to prepare the partition for reloading data.
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.
Answer:

QUESTION NO: 3
You need to load data from a CSV file to a 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.
NOTE: Each correct selection is worth one point.
Answer:
Explanation
Example:
BULK INSERT Sales.Orders
FROM '\\SystemX\DiskZ\Sales\data\orders.csv'
WITH ( FORMAT='CSV');

QUESTION NO: 4
You are developing a Microsoft SQL Server Master Data Services (MDS) solution.
The model contains an entity named Product. The Product entity has three user-defined attributes named Category, Subcategory, and Price, respectively.
You need to ensure that combinations of values stored in the Category and Subcategory attributes are unique.
What should you do?
A. Create an attribute group that consists of the Category and Subcategory attributes. Publish a business rule for the attribute group.
B. Publish a business rule that will be used by the Product entity.
C. Create a derived hierarchy based on the Category and Subcategory attributes. Use the Category attribute as the top level for the hierarchy.
D. Set the value of the Attribute Type property for the Category and Subcategory attributes to
Domainbased.
Answer: B
Explanation
In Master Data Services, business rule actions are the consequence of business rule condition evaluations. If a condition is true, the action is initiated.
The Validation action "must be unique": The selected attribute must be unique independently or in combination with defined attributes.

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