70-767 Questions And Answers

$68

Exam Name: Implementing a SQL Data Warehouse

Updated: 2019-03-26

Q & A: 71

Money Back Guaranteed
  Reviews
  Customers who bought this item also bought

70-767 Frequently Asked Questions

Q1: Can I use 70-767 exam Q&As in my phone?
Yes, PassQuestion provides MCSE 70-767 pdf Q&As which you can download to study on your computer or mobile device, we also provide 70-767 pdf free demo which from the full version to check its quality before purchasing.

Q2: What are the formats of your Microsoft 70-767 exam questions?
PassQuestion provides Microsoft 70-767 exam questions with pdf format and software format, pdf file will be sent in attachment and software file in a download link, you need to download the link in a week, it will be automatically invalid after a week.

Q3: How can I download my 70-767 test questions after purchasing?
We will send MCSE 70-767 test questions to your email once we receive your order, pls make sure your email address valid or leave an alternate email.

Q4: How long can I get my MCSE 70-767 questions and answers after purchasing?
We will send MCSE 70-767 questions and answers to your email in 10 minutes in our working time and no less than 12 hours in our off time.

Working Time:
GMT+8: Monday- Saturday 8:00 AM-18:00 PM
GMT: Monday- Saturday 0:00 AM-10:00 AM

Q5: Can I pass my test with your MCSE 70-767 practice questions only?
Sure! All of PassQuestion MCSE 70-767 practice questions come from real test. If you can practice well and get a good score in our practice Q&As, we ensure you can pass your Implementing a SQL Data Warehouse exam easily.

Q6: How can I know my 70-767 updated? 
You can check the number of questions, if it is changed,that means we have updated this exam ,you can contact us anytime to ask for an free update. our sales email : [email protected]

Q7: What is your refund process if I fail Microsoft  70-767 test?
If you fail your 70-767 test in 60 days by studying our study material, just scan your score report and send to us in attchment,when we check, we will give you full refund.

Q8. What other payment menthod can I use except Paypal?
If your country don't support Paypal, we offer another Payment method Western Union,it is also safe and fast. Pls contact us for the details, we will send it to your email.

Question No : 1

DRAG DROP
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:
Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
Partition the Fact.Order table and retain a total of seven years of data.
Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
Incrementally load all tables in the database and ensure that all incremental changes are processed.
Maximize the performance during the data loading process for the Fact.Order partition.
Ensure that historical data remains online and available for querying.
Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
You need to implement partitioning for the Fact.Ticket table.
Which three actions should you perform in sequence? To answer, drag the appropriate actions to the correct locations. Each action 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: More than one combination of answer choices is correct. You will receive credit for any of the correct combinations you select.



Answer:



Question No : 2

HOTSPOT
You have a Microsoft SQL Server Data Warehouse instance that uses SQL Server Analysis Services (SSAS). The instance has a cube containing data from an on-premises SQL Server instance. A measure named Measure1 is configured to calculate the average of a column.
You plan to change Measure1 to a full additive measure and create a new measure named Measure2 that evaluates data based on the first populated row.
You need to configure the measures.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.



Answer:



Question No : 3

DRAG DROP
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:
Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
Partition the Fact.Order table and retain a total of seven years of data.
Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
Incrementally load all tables in the database and ensure that all incremental changes are processed.
Maximize the performance during the data loading process for the Fact.Order partition.
Ensure that historical data remains online and available for querying.
Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
You need to optimize data loading for the Dimension.Customer table.
Which three Transact-SQL segments should you use to develop the solution? To answer, move the appropriate Transact-SQL segments from the list of Transact-SQL segments to the answer area and arrange them in the correct order.
NOTE: You will not need all of the Transact-SQL segments.



Answer:



Question No : 4

HOTSPOT
You manage an inventory system that has a table named Products. The Products table has several hundred columns.
You generate a report that relates two columns named ProductReference and ProductName from the Products table. The result is sorted by a column named QuantityInStock from largest to smallest.
You need to create an index that the report can use.
How should you complete the Transact-SQL statement? To answer, select the appropriate Transact-SQL segments in the answer area.



Answer:


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 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, data from the table OnlineOrder in DB2 must be exported by partition. The tables must not be locked during the process.
You need to write a Microsoft SQL Server Integration Services (SSIS) package that performs the data export.
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: E

Question No : 6

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 week, you import a product catalog from a partner company to a staging table in DB2.
You need to create a stored procedure that will update the staging table by inserting new products and deleting discontinued products.
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: G

Question No : 7

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 three databases as described in the following table.



You plan to load at least one million rows of data each night from DB1 into the OnlineOrder table. You must load data into the correct partitions using a parallel process.
You create 24 Data Flow tasks. You must place the tasks into a component to allow parallel load. After all of the load processes compete, the process must proceed to the next task.
You need to load the data for the OnlineOrder table.
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: H

Question No : 8

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.



Product prices are updated and are stored in a table named Products on DB1. The Products table is deleted and refreshed each night from MDS by using a Microsoft SQL Server Integration Services (SSIS) package. None of the data sources are sorted.
You need to update the SSIS package to add current prices to the Products table.
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: D

Question No : 9

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

Question No : 10

HOTSPOT
Your company has a Microsoft SQL Server data warehouse instance. The human resources department assigns all employees a unique identifier. You plan to store this identifier in a new table named Employee.
You create a new dimension to store information about employees by running the following Transact-SQL statement:



You have not added data to the dimension yet. You need to modify the dimension to implement a new column named [EmployeeKey]. The new column must use unique values.
How should you complete the Transact-SQL statements? To answer, select the appropriate Transact-SQL segments in the answer area.



Answer:


Question No : 11

DRAG DROP
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:
Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
- Partition the Fact.Order table and retain a total of seven years of data.
- Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
- Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
- Incrementally load all tables in the database and ensure that all incremental changes are processed.
- Maximize the performance during the data loading process for the Fact.Order partition.
- Ensure that historical data remains online and available for querying.
- Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
You need to configure the Fact.Order table.
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.



Answer:



Question No : 12

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

Question No : 13

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.



Answer:



Question No : 14

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing a Microsoft SQL Server Integration Services (SSIS) projects. The project consists of several packages that load data warehouse tables.
You need to extend the control flow design for each package to use the following control flow while minimizing development efforts and maintenance:



Solution: You add the control flow to an ASP.NET assembly. You add a script task that references this assembly to each data warehouse load package.
Does the solution meet the goal?
A. Yes
B. No
Answer: B

Question No : 15

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Microsoft Azure SQL Data Warehouse instance that must be available six months a day for reporting.
You need to pause the compute resources when the instance is not being used.
Solution: You use the Azure portal.
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Russell Buckle

08 Jan, 2019

Sometime I was so busy and had no time to do it. So before i begun my 70-767 exam, I think I would fail 70-767 exam test. To my surprise, I have passed my 70-767 exam easily. Thanks a lot.
Jonathon Bracetty

01 Dec, 2018

Passed 70-767 exam, your questions are valid. Recommended.

Add Comments

Your Rating