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NEW QUESTION: 1
A customer calls you for support to know what needs to be changed to ensure that the server will not have difficulty in detecting attached drives. As an Intel@ Server Specialist, you advise that all of the following cabling configurations will detect drives successfully EXCEPT:
A. SAS controller, connected through an expander backplane, connected to an SSD drive.
B. SATA controller, connected to expander card, connected through non-expander backplane, connected to a SATA drive.
C. SAS controller, connected to expander card, connected through backplane, connected to a SATA drive.
D. SATA controller, connected through non-expander backplane, connected to a SATA drive.
Answer: B

NEW QUESTION: 2
DB1という名前のミッションクリティカルなAzure SQLデータベースのセキュリティを設計しています。 DB1には、個人を特定できる情報（PII）データを格納するいくつかの列が含まれています。次の要件を満たすセキュリティソリューションを推奨する必要があります。
*保管時にDB1が暗号化されるようにします
* PIIデータを含む列のデータが転送中に暗号化されるようにしますDB1および列に推奨するセキュリティソリューションはどれですか。 回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:
Explanation

DB1: Transparent Data Encryption
Azure SQL Database currently supports encryption at rest for Microsoft-managed service side and client-side encryption scenarios.
Support for server encryption is currently provided through the SQL feature called Transparent Data Encryption.
Columns: Always encrypted
Always Encrypted is a feature designed to protect sensitive data stored in Azure SQL Database or SQL Server databases. Always Encrypted allows clients to encrypt sensitive data inside client applications and never reveal the encryption keys to the database engine (SQL Database or SQL Server).
Note: Most data breaches involve the theft of critical data such as credit card numbers or personally identifiable information. Databases can be treasure troves of sensitive information. They can contain customers' personal data (like national identification numbers), confidential competitive information, and intellectual property. Lost or stolen data, especially customer data, can result in brand damage, competitive disadvantage, and serious fines--even lawsuits.
References:
https://docs.microsoft.com/en-us/azure/security/fundamentals/encryption-atrest
https://docs.microsoft.com/en-us/azure/security/fundamentals/database-security-overview

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.
You need to recommend a solution that addresses the index fragmentation and index width issue. What
should you include in the recommendation? (Each correct answer presents part of the solution. Choose all
that apply.)
A. Change the data type of the id column to bigint.
B. Remove the modifiedBy column from the clustered index.
C. Remove the id column from the clustered index.
D. Change the data type of the modifiedBy column to tinyint.
E. Remove the lastModified column from the clustered index.
F. Change the data type of the lastModified column to smalldatetime.
Answer: B,E
Explanation:
Explanation/Reference:
Explanation:
Scenario: 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: