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NEW QUESTION: 1
You configure Volume Shadow Copy Service (VSS) to save previous versions of a shared folder. By default, the copies of shared folders are stored in:
A. A Distributed File System (DFS) share.
B. A Network Attached Storage (NAS) device.
C. A failover cluster.
D. A local volume.
Answer: D
Explanation:
Explanation/Reference:
Shadow Copy technology requires the file system to be NTFS to be able to create and store shadow copies. Shadow Copies can be created on local and external (removable or network) volumes by any Windows component that uses this technology, such as when creating a scheduled Windows Backup or automatic System Restore point.
NEW QUESTION: 2
What should a report author do to use data from two tabs of an Excel file (.xlsx) together in a single object in a Dashboard?
A. Upload each tab as one upload file and merge together within a data module.
B. Create separate Excel files for each tab, upload the files as one upload file and merge together within a data module.
C. Upload each tab as separate upload files and mergetogether within a data module.
D. Create separate Excel files for each tab, upload the files as separate upload files and merge together within a data module.
Answer: B
NEW QUESTION: 3
AWS Data Pipelineのスケジュールパイプラインに関連付けられた3種類のアイテムの1つである試みは、堅牢なデータ管理を提供します。
次の記述のうち、試行について当てはまらないものはどれですか？
A. AWS Data Pipeline Attemptオブジェクトは、該当する場合、さまざまな試行、結果、および失敗の理由を追跡します。
B. AWS Data Pipeline Attemptオブジェクトは、パイプラインコンポーネントをコンパイルして、アクション可能なインスタンスのセットを作成します。
C. AWS Data Pipelineは、再試行回数が許可されている再試行の最大回数に達するまで、失敗した操作を再試行します。
D. 堅牢なデータ管理の試み。
Answer: B
Explanation:
Attempts, one of the three types of items associated with a schedule pipeline in AWS Data Pipeline, provides robust data management. AWS Data Pipeline retries a failed operation. It continues to do so until the task reaches the maximum number of allowed retry attempts. Attempt objects track the various attempts, results, and failure reasons if applicable. Essentially, it is the instance with a counter. AWS Data Pipeline performs retries using the same resources from the previous attempts, such as Amazon EMR clusters and EC2 instances.
http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-how-tasks-scheduled.html