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NEW QUESTION: 1
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:
Explanation:

Explanation

From scenario: Partition the Fact.Order table and retain a total of seven years of data. Maximize the performance during the data loading process for the Fact.Order partition.
Step 1: Create a partition function.
Using CREATE PARTITION FUNCTION is the first step in creating a partitioned table or index.
Step 2: Create a partition scheme based on the partition function.
To migrate SQL Server partition definitions to SQL Data Warehouse simply:
Step 3: Execute an ALTER TABLE command to specify the partition function.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-partition

NEW QUESTION: 2
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 chokes, but the text of the scenario is the same in each question in this series.
Start of repeated scenario
You are creating reports for a car repair company. You have four datasets in Excel spreadsheets. Four workbook queries load the datasets to a data model. A sample of the data is shown in the Data Sample exhibit.
Data Sample exhibit:




The data model is shown in the Data Model exhibit. (Click the Exhibit button.)

The tables in the model contain the following data:
* DailyRepairs has a log of hours and revenue for each day, workshop, and repair type. Every day, a log entry is created for each workshop, even if no hours or revenue are recorded for that day. Total Hours and Total Revenue column.
* Workshops have a list of all the workshops and the current and previous workshop managers. The format of the Workshop Manager column is always Firstname Lastname. A value of 1 in the IsLatest column indicates that the workshop manager listed in the record is the current workshop manager.
* RepairTypes has a list of all the repair types
* Dates has a list of dates from 2015 to 2018
End of repeated scenario.
When you attempt to create a relationship between DailyRepairs and Workshops, Power Pivot generates the following error message: "The relationship cannot be created because each column contains duplicate values.
Select at least one column that contains only unique values".
You need to ensure that you can create a valid relationship between the tables.
What should you do?
A. In the workbook query for Workshops, add an index column
B. In the Power Pivot model, change the data type for Workshop[ID] to General
C. In the Power Pivot model, change the Table Behavior setting for Workshops
D. In the workbook query for Workshops, filter [IsLatest] to equal 1
Answer: C
Explanation:
Explanation
References: https://msdn.microsoft.com/en-us/library/hh560544(v=sql.110).aspx

NEW QUESTION: 3
How does increasing the measure of days sales in payables (DSP) affect operating and financing cash flows?
Operating | Financing
A. Decrease | Increase.
B. No impact | increase.
C. Increase | No impact.
Answer: C
Explanation:
A larger DSP will increase operating cash flow.

NEW QUESTION: 4
Which option is a valid file extension for a CIMC configuration file?
A. .txt
B. .json
C. .exe
D. .xml
E. .zip
Answer: D

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