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NEW QUESTION: 1
Sales、Product、およびDateという名前の3つのテーブルを含むMicrosoft PowerBIデータモデルがあります。
Salesテーブルには、Salesテーブルの総売上を合計する[TotalSales]という名前の既存のメジャーがあります。
選択したProductCategoryName値が表す総売上のパーセンテージを返す計算を作成する必要があります。計算では、ProductCategoryNameのスライサーを尊重し、表示される総売上のパーセンテージを表示する必要があります。たとえば、4つのProductCategoryName値があり、ユーザーが1つをフィルターで除外する場合、ProductCategoryNameと計算を示すテーブルの合計は最大100パーセントである必要があります。
どのように計算を完了する必要がありますか？答えるには、適切な値を正しいターゲットにドラッグします。各値は、1回使用することも、複数回使用することも、まったく使用しないこともできます。コンテンツを表示するには、分割バーをペイン間でドラッグするか、スクロールする必要がある場合があります。
注：正しい選択はそれぞれ1ポイントの価値があります。
Answer:
Explanation:
Explanation
Box 1: CALCULATE
CALCULATE rvaluates an expression in a modified filter context.
Box 2: DIVIDE
As a data modeler, when you write a DAX expression to divide a numerator by a denominator, you can choose to use the DIVIDE function or the divide operator (/ - forward slash).
When using the DIVIDE function, you must pass in numerator and denominator expressions.
Box 3: ALLSELECTED
ALLSELECTED removes context filters from columns and rows in the current query, while retaining all other context filters or explicit filters.
The ALLSELECTED function gets the context that represents all rows and columns in the query, while keeping explicit filters and contexts other than row and column filters. This function can be used to obtain visual totals in queries.
Example:
measure 'Reseller Sales'[Reseller Visual Total]=calculate(sum('Reseller Sales'[Sales Amount]), ALLSELECTED()) Reference:
https://docs.microsoft.com/en-us/dax/allselected-function-dax
NEW QUESTION: 2
What does a fully tested and validated solution with fewer vendors contribute to the hyper-converged infrastructure?
A. Improved capacity management
B. Operational simplicity
C. Improved application performance
D. Lower risk of network congestion
Answer: D
NEW QUESTION: 3
Overview
Application Overview
Contoso, Ltd., is the developer of an enterprise resource planning (ERP) application.
Contoso is designing a new version of the ERP application. The previous version of the ERP application used SQL Server 2008 R2.
The new version will use SQL Server 2014.
The ERP application relies on an import process to load supplier data. The import process updates thousands of rows simultaneously, requires exclusive access to the database, and runs daily.
You receive several support calls reporting unexpected behavior in the ERP application.
After analyzing the calls, you conclude that users made changes directly to the tables in the database.
Tables
The current database schema contains a table named OrderDetails.
The OrderDetails table contains information about the items sold for each purchase order.
OrderDetails stores the product ID, quantities, and discounts applied to each product in a purchase order.
The product price is stored in a table named Products. The Products table was defined by using the SQL_Latin1_General_CP1_CI_AS collation.
A column named ProductName was created by using the varchar data type. The database contains a table named Orders.
Orders contains all of the purchase orders from the last 12 months. Purchase orders that are older than 12 months are stored in a table named OrdersOld.
The previous version of the ERP application relied on table-level security.
Stored Procedures
The current version of the database contains stored procedures that change two tables.
The following shows the relevant portions of the two stored procedures:
Customer Problems
Installation Issues
The current version of the ERP application requires that several SQL Server logins be set up to function correctly. Most customers set up the ERP application in multiple locations and must create logins multiple times.
Index Fragmentation Issues
Customers discover that clustered indexes often are fragmented. To resolve this issue, the customers defragment the indexes more frequently. All of the tables affected by fragmentation have the following columns that are used as the clustered index key:
Backup Issues
Customers who have large amounts of historical purchase order data report that backup time is unacceptable.
Search Issues
Users report that when they search product names, the search results exclude product names that contain accents, unless the search string includes the accent.
Missing Data Issues
Customers report that when they make a price change in the Products table, they cannot retrieve the price that the item was sold for in previous orders.
Query Performance Issues
Customers report that query performance degrades very quickly. Additionally, the customers report that users cannot run queries when SQL Server runs maintenance tasks.
Import Issues During the monthly import process, database administrators receive many supports call from users who report that they cannot access the supplier data. The database administrators want to reduce the amount of time required to import the data.
Design Requirements
File Storage Requirements
The ERP database stores scanned documents that are larger than 2 MB. These files must only be accessed through the ERP application. File access must have the best possible read and write performance.
Data Recovery Requirements
If the import process fails, the database must be returned to its prior state immediately.
Security Requirements
You must provide users with the ability to execute functions within the ERP application, without having direct access to the underlying tables.
Concurrency Requirements
You must reduce the likelihood of deadlocks occurring when Sales.Prod and Sales.Proc2 execute.
What should you recommend for the updates to Sales.TransactionHistory?
A. a SNAPSHOT isolation level
B. a REPEATABLE READ isolation level
C. query hints
D. implicit transactions
Answer: B
NEW QUESTION: 4
Video editing workstations require the fastest hard drive access times with large storage capacity. Which of the following hard disk setups would be MOST ideal for the described computer?
A. Two 500 GB SATA2 hard drives in a hardware RAID 0
B. Two 500 GB SATA2 hard drives in a hardware RAID 1
C. Two 500 GB SATA2 hard drives used in a JBOD array
D. Two 500 GB SATA2 hard drives in a software RAID 0
Answer: A
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