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NEW QUESTION: 1
Sie verwalten eine Datenbank, die eine IOT-Lösung (Internal of Things) unterstützt. Die Datenbank zeichnet Metriken von über 100 Millionen Geräten pro Minute auf. Die Datenbank benötigt 99,995 Betriebszeiten.
Die Datenbank verwendet eine Tabelle namens checkins mit einer Größe von 100 Gigabyte (GB). In der Checkins-Tabelle werden Metriken von den Geräten gespeichert. Die Datenbank enthält auch eine Tabelle mit dem Namen Archive, in der vier Terabyte (TB) Daten gespeichert sind. Sie verwenden für alle Zugriffe auf die Tabellen das Geschäftsprodukt.
Sie stellen fest, dass der Wartetyp PAGELATCH_ to eine große Menge an Blockierungen verursacht.
Sie müssen die Blockierungsprobleme beheben und gleichzeitig die Ausfallzeiten für die Datenbank minimieren.
Welche beiden Aktionen sollten Sie ausführen? Jede richtige Antwort ist Teil der Lösung.
A. Konvertiert die Checkins-Tabelle in einen Cluster-Clounmstore-Index.
B. Konvertiert alle Tabellen in gruppierte Columnstore-Indizes.
C. Konvertiert alle gespeicherten Prozeduren, die auf die Checkins-Tabelle zugreifen, um Prozeduren nativ zu kompilieren.
D. Konvertiert die Checkins-Tabelle in eine In-Memory-OLTP-Tabelle.
Answer: C

NEW QUESTION: 2
Place the appropriate token next to each graphic.

Answer:
Explanation:

NEW QUESTION: 3

A. Option C
B. Option B
C. Option A
D. Option D
Answer: C
Explanation:
Deadlettering - From time to time a message may arrive in your queue that just can't be processed. Each time the message is retrieved for processing the consumer throws an exception and cannot process the message. These are often referred to as poisonous messages and can happen for a variety of reasons, such as a corrupted payload, a message containing an unknown payload inadvertently delivered to a wrong queue, etc.
When this happens, you do not want your system to come to grinding to a halt simply because one of the messages can't be processed.
Ideally the message will be set aside to be reviewed later and processing can continue on to other messages in the queue. This process is called 'Deadlettering' a message and the
Service Bus Brokered Messaging supports dead lettering by default. If a message fails to be processed and appears back on the queue ten times it will be placed into a dead letter queue. You can control the number of failures it takes for a message to be dead lettered by setting the MaxDeliveryCount property on the queue. When a message is deadlettered it is actually placed on a sub queue which can be accessed just like any other Service Bus queue. In the example used above the dead letter queue path would be samplequeue/$DeadLetterQueue. By default a message will be moved to the dead letter queue if it fails delivery more than 10 times.
Automatic dead lettering does not occur in the ReceiveAndDelete mode as the message has already been removed from the queue.
References: https://www.simple-talk.com/cloud/cloud-data/an-introduction-to-windows- azure-service-bus-brokered-messaging/

NEW QUESTION: 4
The event dashboard within the Cisco FMC has been inundated with low priority intrusion drop events, which are overshadowing high priority events. An engineer has been tasked with reviewing the policies and reducing the low priority events. Which action should be configured to accomplish this task?
A. drop and generate
B. drop connection
C. drop packet
D. generate events
Answer: A