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NEW QUESTION: 1
An application is waiting for notification of changes to a tmp directory using the following code statements:
Path dir = Paths.get("tmp")
WatchKey key = dir.register (watcher, ENTRY_CREATE, ENTRY_DELETE, ENTRY_MODIFY) ;
In the tmp directory, the user renames the file testA to testB,
Which statement is true?
A. The events received and the order of events are consistent across all platforms.
B. The events received and the order of events are consistent across all UNIX platforms.
C. The events received and the order of events are platform dependent.
D. The events received and the order of events are consistent across all Microsoft Windows versions.
Answer: A
Explanation:
Most file system implementations have native support for file change notification. The
WatchService API takesadvantage of this support where available.
However, when a file system does not support this mechanism, the WatchService will poll
the file system,waiting for events.
Note:
WatchKey : When a Watchable entity is registered with a WatchService a key which is a
WatchKey isgenerated. Initially the key is in ready state waiting to be notified of any events
on the Watchable entity. Oncean event occurs the key goes into signaled state and allows
to access the events using its pollEvents method.
After processing the poll events the key has to be reset by invoking its reset method.
Reference: The Java Tutorials,Watching a Directory for Changes
NEW QUESTION: 2
DynamoDBで大規模なスキャン操作を使用する場合、テーブルのプロビジョニングされたスループットに対するスキャンの影響を最小限に抑えるためにどのような手法を使用できますか？
A. すべてのアイテムを更新して、テーブルを事前に温めます
B. テーブルの範囲インデックスを定義します
C. 並列スキャンを使用する
D. スキャンのページサイズを小さく設定します
Answer: D
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-query-scan.html
Because a Scan operation reads an entire page (by default, 1 MB), you can reduce the impact of the scan operation by setting a smaller page size. The Scan operation provides a Limit parameter that you can use to set the page size for your request. Each Scan or Query request that has a smaller page size uses fewer read operations and creates a "pause" between each request. For example, if each item is 4 KB and you set the page size to 40 items, then a Query request would consume only 40 strongly consistent read operations or 20 eventually consistent read operations. A larger number of smaller Scan or Query operations would allow your other critical requests to succeed without throttling.
NEW QUESTION: 3
ある会社がeコマースWebサイトを立ち上げ、AmazonS3で静的データをホストします。同社は、GETリクエストとPUTリクエストの合計で1秒あたり約1,000トランザクション（TPS）を見込んでいます。すべての要求を追跡するにはロギングを有効にする必要があり、監査目的で保持する必要があります。
最も費用効果の高いソリューションは何ですか？
A. S3バケットレベルのアクションでAWS CloudTrailロギングを有効にし、ライフサイクルポリシーを作成して、90日以内にログバケットからAmazon S3Glacierにデータを移動します
B. S3バケットレベルアクションのAWS CloudTrailロギングを有効にし、ライフサイクルポリシーを作成して、データを90日で期限切れにします
C. S3サーバーアクセスロギングを有効にし、ライフサイクルポリシーを作成して、90日以内にデータをAmazon S3Glacierに移動します。
D. S3サーバーアクセスログを有効にし、ライフサイクルポリシーを作成して、90日でデータを期限切れにします
Answer: B
Explanation:
Reference:
https://docs.aws.amazon.com/AmazonS3/latest/dev/cloudtrail-request-identification.html