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NEW QUESTION: 1
利用可能なソーシャル投稿コネクタを選択します
A. LinkedIn
B. ツイッター
C. WhatsApp
D. Instagram
E. ゾーン
F. Facebook
G. Tumblr
Answer: A,B,F

NEW QUESTION: 2
セキュリティ管理者には、展開されているサーバーのセキュリティと可用性のプロファイルが与えられます。
各RAIDタイプを正しい構成とドライブの最小数と一致させます。
サーバープロファイルを確認し、整合性、可用性、I / O、ストレージ要件に基づいて適切なRAIDタイプと一致させます。手順：
すべてのドライブ定義は必要に応じて何度でもドラッグできます
すべてのプレースホルダーがRAID設定ボックスに入力されるわけではありません
パリティが必要な場合は、適切な数のパリティチェックボックスを選択してください。サーバープロファイルは1回だけドラッグできます。シミュレーションの初期状態をいつでも戻したい場合は、リセットボタンを選択してください。シミュレーションが完了したら、[完了]ボタンを選択して送信してください。シミュレーションが送信されたら、[次へ]ボタンを選択して続行します。

Answer:
Explanation:

Explanation:
RAID-0 is known as striping. It is not a fault tolerant solution but does improve disk performance for read/write operations. Striping requires a minimum of two disks and does not use parity.
RAID-0 can be used where performance is required over fault tolerance, such as a media streaming server.
RAID-1 is known as mirroring because the same data is written to two disks so that the two disks have identical data. This is a fault tolerant solution that halves the storage space. A minimum of two disks are used in mirroring and does not use parity. RAID-1 can be used where fault tolerance is required over performance, such as on an authentication server. RAID-5 is a fault tolerant solution that uses parity and striping. A minimum of three disks are required for RAID-5 with one disk's worth of space being used for parity information. However, the parity information is distributed across all the disks. RAID-5 can recover from a sing disk failure.
RAID-6 is a fault tolerant solution that uses dual parity and striping. A minimum of four disks are required for RAID-6. Dual parity allows RAID-6 to recover from the simultaneous failure of up to two disks. Critical data should be stored on a RAID-6 system.
http://www.adaptec.com/en-us/solutions/raid_levels.html

NEW QUESTION: 3
회사는 Amazon S3 버킷 내에서 정적 웹 사이트를 호스팅합니다. 솔루션 아키텍트는 실수로 삭제 한 경우 데이터를 복구 할 수 있는지 확인해야 합니다.
이를 달성 할 조치는 무엇입니까?
A. Amazon S3 수명주기 정책 활성화
B. Amazon S3 Intelligent-Tiering을 활성화합니다.
C. Amazon S3 교차 리전 복제를 활성화합니다.
D. Amazon S3 버전 관리 활성화
Answer: D
Explanation:
Data can be recover if versioning enable, also it provide a extra protection like file delete,MFA delete. MFA Delete only works for CLI or API interaction, not in the AWS Management Console. Also, you cannot make version DELETE actions with MFA using IAM user credentials. You must use your root AWS account.
https://aws.amazon.com/blogs/security/securing-access-to-aws-using-mfa-part-3/ Object Versioning Use Amazon S3 Versioning to keep multiple versions of an object in one bucket. For example, you could store my-image.jpg (version 111111) and my-image.jpg (version 222222) in a single bucket. S3 Versioning protects you from the consequences of unintended overwrites and deletions. You can also use it to archive objects so that you have access to previous versions.
You must explicitly enable S3 Versioning on your bucket. By default, S3 Versioning is disabled. Regardless of whether you have enabled Versioning, each object in your bucket has a version ID. If you have not enabled Versioning, Amazon S3 sets the value of the version ID to null. If S3 Versioning is enabled, Amazon S3 assigns a version ID value for the object. This value distinguishes it from other versions of the same key.
https://docs.aws.amazon.com/AmazonS3/latest/dev/ObjectVersioning.html

NEW QUESTION: 4
For what purpose would you use the entity object attribute setting Change Indicator? (Choose the best
answer.)
A. to automatically lock the corresponding record in the database
B. to automatically refresh the attribute value if the underlying data in the database is changed by another
user
C. to highlight the attribute in the UI with a border when the original attribute value has been changed
D. to define an attribute that the framework uses to check whether the update is about to happen on
underlying stale data in the database
E. to fire an entity object custom method as soon as the original attribute value has been changed
Answer: A
Explanation:
Explanation/Reference:
By default, during commit operation, ADF scans each changed attribute from the current row and
compares value in the DB. If it locates changed values in DB, reports error about another user changes in
the same row. While this is expected functionality, there are use case when we want to allow commit, even
data was changed already by someone else. For example, in more complex systems, data is updated by
PL/SQL procedures, we don't want to inform user with error about this. There is a way to override lock
method in EO implementation class, catch lock error and raise lock again. This works, but there is different
way - to use Change Indicator. This property defines specific attribute to be responsible for row data
changes tracking, instead of checking every attribute. Only if Change Indicator attribute value will be
changed in DB, then current row changes will be prevented and user will be informed about someone else
changes in the same row.
References: https://blogs.oracle.com/emeapartnerweblogic/entry/
explaining_change_indicator_property_for

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