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NEW QUESTION: 1
A customer wants to archive all orders from the Order table thatare older than 24 months (2 years). The column name used to determine this is called "Created". How can an Optim developer implement this requirement?
A. Create a storage profile that will automatically delete the archive after two years based upon the system date minus the created column if one record in the start table meets the criteria.
B. Open the Orders access definition, position the cursor on the Order table and right click and use the archive actions tab from the "Table
Specification" pop-up menuto enter a SQL statement fragment "Created before(24M)".
C. Open the Orders access definition, position the cursor on the Order table and right click and use the Selection Criteria tab on the "Table
Specification"pop-up menu and find the "Created" column and enter the "before(24M)" for the selection criteria.
D. Open the relationship editor for each child table related to orders and add "before(24M)" as an expression.
Answer: C

NEW QUESTION: 2
Which option provides additional benefits to SMB customers of HP BladeSystem enclosures?
A. External disk storage
B. Dashboard
C. Expansion cage
D. HP VirtualConnect
Answer: A
Explanation:
Reference:
http://www8.hp.com/h20195/v2/getpdf.aspx/4AA4-3447ENW.pdf?ver=2.0

NEW QUESTION: 3
お客様は、複数のWebサーバー、複数のアプリケーションサーバー、および小規模(50GB)のOracleデータベースで構成されるエンタープライズアプリケーションをAWSにデプロイしたいと考えています。情報は、データベースとさまざまなサーバーのファイルシステムの両方に格納されます。バックアップシステムは、データベース回復全体のサーバーとディスク全体の回復、および2時間以内の回復時間で個々のファイルの回復をサポートする必要があります。彼らはRDS Oracleをデータベースとして使用することを選択しました。
どのバックアップアーキテクチャがこれらの要件を満たしますか。
A. 毎日自動DBバックアップを使用してRDSをバックアップします。 AMIを使用してEC2インスタンスをバックアップし、ファイルレベルのリストアを提供するために、従来のエンタープライズバックアップソフトウェアを使用してファイルレベルのバックアップをS3に追加します。
B. Oracle RMANを使用してRDSデータベースをS3にバックアップします。 Amisを使用してEC2インスタンスをバックアップし、個々のボリュームの復元用にEBSスナップショットを追加します。
C. 毎日自動DBバックアップを使用してRDSをバックアップする。 EBSスナップショットを使用してEC2インスタンスをバックアップし、ファイルレベルのリストアを提供するために、従来のエンタープライズバックアップソフトウェアを使用してファイルレベルのバックアップをAmazon Glacierに追加します。
D. マルチAZ配置を使用してRDSをバックアップします。 Amisを使用してEC2インスタンスをバックアップし、ファイルシステムのデータをS3にコピーしてファイルレベルのリストアを提供します。
Answer: A
Explanation:
Explanation
Point-In-Time Recovery
In addition to the daily automated backup, Amazon RDS archives database change logs. This enables you to recover your database to any point in time during the backup retention period, up to the last five minutes of database usage.
Amazon RDS stores multiple copies of your data, but for Single-AZ DB instances these copies are stored in a single availability zone. If for any reason a Single-AZ DB instance becomes unusable, you can use point-in-time recovery to launch a new DB instance with the latest restorable data. For more information on working with point-in-time recovery, go to Restoring a DB Instance to a Specified Time.
Note
Multi-AZ deployments store copies of your data in different Availability Zones for greater levels of data durability. For more information on Multi-AZ deployments, see High Availability (Multi-AZ).

NEW QUESTION: 4
Which statement about IPv6 ND inspection is true?
A. It learns and secures bindings for stateful autoconfiguration addresses in Layer 3 neighbor tables.
B. It learns and secures bindings for stateless autoconfiguration addresses in Layer 2 neighbor tables.
C. It learns and secures bindings for stateless autoconfiguration addresses in Layer 3 neighbor tables.
D. It learns and secures bindings for stateful autoconfiguration addresses in Layer 2 neighbor tables.
Answer: B
Explanation:
IPv6 ND inspection learns and secures bindings for stateless autoconfiguration addresses in Layer 2 neighbor tables. IPv6 ND inspection analyzes neighbor discovery messages in order to build a trusted binding table database, and IPv6 neighbor discovery messages that do not have valid bindings are dropped. A neighbor discovery message is considered trustworthy if its IPv6-to-MAC mapping is verifiable.
This feature mitigates some of the inherent vulnerabilities for the neighbor discovery mechanism, such as attacks on duplicate address detection (DAD), address resolution, device discovery, and the neighbor cache.