Tag Archives: Implementing a SQL Data Warehouse

[2018 New] Microsoft certification 70-767 practice exam

Testpassport Microsoft 70-767 exam questions and answers cover all the exam topics of real test. Show Microsoft 70-767 exam topics below. 
Design, implement, and maintain a data warehouse (35–40%)
Extract, transform, and load data (40–45%)
Build data quality solutions (15–20%)

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Share some MCSE 70-767 exam questions and answers below.
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?
A. value matches pattern ZA*9876[5]
B. value matches pattern AZ[*]1234[5]
C. value matches regular expression AZ[*]1234[5]
D. value matches pattern [a-zA-Z][a-zA-Z]*[0-9][0-9] [0-9][0-9] [0-9]?
Answer: A

Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You have a Microsoft SQL Server data warehouse instance that supports several client applications.
The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket, and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
You have the following requirements:
You are not permitted to make changes to the client applications.
You need to optimize the storage for the data warehouse.
What change should you make?
A. Partition the Fact.Order table, and move historical data to new filegroups on lower-cost storage.
B. Create new tables on lower-cost storage, move the historical data to the new tables, and then shrink the database.
C. Remove the historical data from the database to leave available space for new data.
D. Move historical data to new tables on lower-cost storage.
Answer: A

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