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NEW QUESTION: 1
You are using Microsoft Project.
Three years ago, you successfully completed a project to review all of the suppliers within your organization, and you have been asked to run a similar project again. You still have the project plan from three years ago.
You need to use the most efficient method to produce a new plan with tasks based upon the old project plan.
What should you do?
A. Use the New from existing project option to create the new project.
B. Rename the old plan to a .mpt file, and select it from the featured templates to create the new project.
C. Open the file in an earlier version of Project and save it as the newest file format. Open the file in the most recent version of Project.
D. Open the file, and copy and paste the task list into the schedule.
Answer: A
Explanation:
Explanation/Reference:
References:
http://www.quepublishing.com/articles/article.aspx?p=2120984
NEW QUESTION: 2
In a large enterprise, which two SAN switches are ideal core switches for providing high availability? (Choose two.)
A. Cisco MDS 9710
B. Cisco Nexus 5548
C. Cisco MDS 9509
D. Cisco MDS 9222i
E. Cisco Nexus 7028
Answer: A,C
NEW QUESTION: 3
ドラッグアンドドロップの質問
顧客の計算による売上分析を修正するには、SalesAnalysisキューブを構成する必要があります。
順番に実行する必要がある4つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序で配置します。
Answer:
Explanation:
Explanation:
Step 1: Open the cube editor, and open the Dimension Usage tab.
Step 2: Configure a relationship between the Customer dimension and the Sales measure group.
Use Day as the granularity.
From scenario: The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes.
The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
Step 3: Reprocess the cube.
Step 4: Deploy the project changes.
Topic 1, Background
Wide World Importers has multidimensional cubes named SalesAnalysis and ProductSales. The SalesAnalysis cube is refreshed from a relational data warehouse. You have a Microsoft SQL Server Analysis Services instance that is configured to use tabular mode. You have a tabular data model named CustomerAnalysis.
Sales Analysis
The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes. The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
The SalesAnalysis model contains tables from a SQL Server database named SalesDB. You set the DirectQueryMode option to DirectQuery. Data analyst access data from a cache that is up to
24 hours old. Data analyst report performance issues when they access the SalesAnalysis model.
When analyzing sales by customer, the total of all sales is shown for every customer, instead of the customer's sales value. When analyzing sales by product, the correct totals for each product are shown.
Customer Analysis
You are redesigning the CustomerAnalysis tabular data model that will be used to analyze customer sales. You plan to add a table named CustomerPermission to the model. This table maps the Active Directory login of an employee with the CustomerId keys for all customers that the employee manages.
The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are based on analyzing sales by month.
Product Sales
The ProductSales cube allows data analysts to view sales information by product, city, and time.
Data analysts must be able to view ProductSales data by Year to Date (YTD) as a measure. The measure must be formatted as currency, associated with the Sales measure group, and contained in a folder named Calculations.
Requirements
You identify the following requirements:
- Data available during normal business hours must always be up-to-
date.
- Processing overhead must be minimized.
- Query response times must improve.
- All queries that access the SalesAnalysis model must use cached data
by default.
- Data analysts must be able to access data in near real time.