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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 maintain a Microsoft SQL Server instance that contains the following databases SalesDb1, SalesDb2, and SalesDb3. Each database has tabled named Products and Sales. The following table shows the configuration of each database.

The backup strategies for each database are described in the following table.

Each full or differential backup operation writes into a new file and uses a different sequence number. You observe the following database corruption issues.

SalesDb3 reports a number of database corruption issues related to error 823 and 824 when reading data pages.
You must display the following information about the corrupted pages:
* database name
* impacted file id
* impacted file physical name
* impacted page id
* event type that identifies the error type
* error count
Users report performance issues when they run queries against SalesDb2. You plan to monitor query statistics and execution plans for SalesDb2 by using Query Store. The monitoring strategy must meet the following requirements:
* Perform automatic data cleanup when query store disk usage reaches 500 megabyte (MB).
* Capture queries based on resource consumption.
* Use a stale query threshold value of 60 days.
The query optimizer generates suboptimal execution plans for a number of queries on the Sales table in SalesDb2. You will create a maintenance plan that updates statistics for the table. The plan should only update statistics that were automatically created and have not been updated for 30 days. The update should be based on all data in the table.
You need to view the information about the corrupted pages on SalesDb3.
How should you complete the Transact-SQL statement?
Select two.
A. SELECT * FROM system..corrupted_pages
B. WHERE event_type = 2
C. SELECT * FROM msdb..suspect_pages
D. WHERE event_type = 1
E. WHERE event_type = 3
F. SELECT * FROM system..suspect_pages
G. SELECT * FROM msdb.. corrupted_pages
Answer: B,C
Explanation:
Explanation
suspect_pages contains one row per page that failed with a minor 823 error or an 824 error. Pages are listed in this table because they are suspected of being bad, but they might actually be fine. When a suspect page is repaired, its status is updated in the event_type column.
The suspect_pages table resides in the msdb database.
SalesDb3 has pages with checksum errors. Checksum errors have the event_type value 2.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/backup-restore/manage-the-suspect-pages-table-sql-ser

NEW QUESTION: 2
データ検証を正しく定義するステートメントを特定する
A. データ検証は、データがSFにエクスポートされるときにデータの整合性を保証します
B. データ検証により、SFに保存された後のデータの整合性が保証されます
C. データ検証は、データがSFにインポートされるときにデータの整合性を保証します
D. データ検証により、SFに保存される前にデータの整合性が保証されます
Answer: D

NEW QUESTION: 3
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

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