070-767 Questions And Answers

$68

Exam Name: Implementing a SQL Data Warehouse

Updated: 2019-10-23

Q & A: 136

Money Back Guaranteed
  Reviews
  Customers who bought this item also bought

070-767 Frequently Asked Questions

Q1: Can I use 070-767 exam Q&As in my phone?
Yes, PassQuestion provides MCSE 070-767 pdf Q&As which you can download to study on your computer or mobile device, we also provide 070-767 pdf free demo which from the full version to check its quality before purchasing.

Q2: What are the formats of your Microsoft 070-767 exam questions?
PassQuestion provides Microsoft 070-767 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 070-767 test questions after purchasing?
We will send MCSE 070-767 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 070-767 questions and answers after purchasing?
We will send MCSE 070-767 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 070-767 practice questions only?
Sure! All of PassQuestion MCSE 070-767 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 070-767 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  070-767 test?
If you fail your 070-767 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 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 : 2

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 : 3

DRAG DROP
You have a data warehouse.
You need to move a table named Fact.ErrorLog to a new filegroup named LowCost.
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 : 4

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.



Answer:


Question No : 5

HOTSPOT
You have the Microsoft SQL Server Integration Services (SSIS) package shown in the Control flow exhibit. (Click the Exhibit button.)



The package iterates over 100 files in a local folder. For each iteration, the package increments a variable named loop as shown in the Expression task exhibit. (Click the Exhibit button) and then imports a file. The initial value of the variable loop is 0.



You suspect that there may be an issue with the variable value during the loop. You define a breakpoint on the Expression task as shown in the BreakPoint exhibit. (Click the Exhibit button.)



You need to check the value of the loop variable value.
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 : 6

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 the following line-of-business solutions:
ERP system
Online WebStore
Partner extranet
One or more Microsoft SQL Server instances support each solution. Each solution has its own product catalog. You have an additional server that hosts SQL Server Integration Services (SSIS) and a data warehouse. You populate the data warehouse with data from each of the line-of-business solutions. The data warehouse does not store primary key values from the individual source tables.
The database for each solution has a table named Products that stored product information. The Products table in each database uses a separate and unique key for product records. Each table shares a column named ReferenceNr between the databases. This column is used to create queries that involve more than once solution.
You need to load data from the individual solutions into the data warehouse nightly. The following requirements must be met:
If a change is made to the ReferenceNr column in any of the sources, set the value of IsDisabled to True and create a new row in the Products table.
If a row is deleted in any of the sources, set the value of IsDisabled to True in the data warehouse.
Solution: Perform the following actions:
Enable the Change Tracking feature for the Products table in the three source databases.
Query the CHANGETABLE function from the sources for the deleted rows.
Set the IsDIsabled column to True on the data warehouse Products table for the listed rows.
Does the solution meet the goal?
A. Yes
B. No
Answer: B

Question No : 7

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 : 8

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.



Answer:



Question No : 9

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.



Answer:



Question No : 10

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 data warehouse that stores information about products, sales, and orders for a manufacturing company. The instance contains a database that has two tables named SalesOrderHeader and SalesOrderDetail. SalesOrderHeader has 500,000 rows and SalesOrderDetail has 3,000,000 rows.
Users report performance degradation when they run the following stored procedure:



You need to optimize performance.
Solution: You run the following Transact-SQL statement:



Does the solution meet the goal?
A. Yes
B. No
Answer: B

Question No : 11

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 : 12

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.



Answer:



Question No : 13

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 : 14

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

Question No : 15

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

Add Comments

Your Rating