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NEW QUESTION: 1
Sie verwalten eine Microsoft SQL Server 2016-Instanz.
Sie müssen eine neue Datenbank konfigurieren, um FILETABLES zu unterstützen.
Was tun? Wähle alle, die zutreffen.
A. Konfigurieren Sie die Datenbank für Partial Containment.
B. Aktivieren Sie FILESTREAM auf der Serverinstanz.
C. Deaktivieren Sie FILESTREAM in der Datenbank.
D. Erstellt eine nicht leere FILESTREAM-Dateigruppe.
E. Legen Sie den FILESTREAM-Verzeichnisnamen in der Datenbank fest.
F. Enthaltene Datenbanken auf der Serverinstanz aktivieren.
Answer: B,D,E
Explanation:
Erläuterung
Verweise:
https://docs.microsoft.com/de-de/sql/relational-databases/blob/enable-the-prerequisites-for-filetable

NEW QUESTION: 2
-- Exhibit --

-- Exhibit --
Click the Exhibit button.
Based on the exhibit, what is the reason that two of the paths are marked as standby?
A. The storage adapers need to be rescanned before those paths will be set to active.
B. The active paths were set to preferred.
C. That is a characteristic of the storage array used.
D. The other two paths were set to active.
Answer: C

NEW QUESTION: 3
The Hadoop framework provides a mechanism for coping with machine issues such as faulty configuration or impending hardware failure. MapReduce detects that one or a number of machines are performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and the task that finish first are used. This is called:
A. IdentityMapper
B. Speculative Execution
C. Combiner
D. IdentityReducer
E. Default Partitioner
Answer: B
Explanation:
Speculative execution: One problem with the Hadoop system is that by dividing the tasks across many nodes, it is possible for a few slow nodes to rate-limit the rest of the program. For example if one node has a slow disk controller, then it may be reading its input at only 10% the speed of all the other nodes. So when 99 map tasks are already complete, the system is still waiting for the final map task to check in, which takes much longer than all the other nodes. By forcing tasks to run in isolation from one another, individual tasks do not know where their inputs come from. Tasks trust the Hadoop platform to just deliver the appropriate input. Therefore, the same input can be processed multiple times in parallel, to exploit differences in machine capabilities. As most of the tasks in a job are coming to a close, the Hadoop platform will schedule redundant copies of the remaining tasks across several nodes which do not have other work to perform. This process is known as speculative execution. When tasks complete, they announce this fact to the JobTracker. Whichever copy of a task finishes first becomes the definitive copy. If other copies were executing speculatively, Hadoop tells the TaskTrackers to abandon the tasks and discard their outputs. The Reducers then receive their inputs from whichever Mapper completed successfully, first.
Reference:Apache Hadoop,Module 4: MapReduce

NEW QUESTION: 4
What is the effect of using CLI "config system session-ttl" to set session_ttl to 1800 seconds?
A. The maximum length of time a session can be open is 1800 seconds.
B. Sessions can be idle for no more than 1800 seconds.
C. After a session has been open for 1800 seconds, the FortiGate unit will send a keepalive packet to both client and server.
D. After 1800 seconds, the end user must reauthenticate.
Answer: B