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NEW QUESTION: 1
Sie implementieren ein Auftragsabwicklungssystem. Eine Point-of-Sale-Anwendung veröffentlicht Bestellungen zu Themen in einer Azure Service Bus-Warteschlange. Die label-Eigenschaft für das Thema enthält die folgenden Daten:

Das System hat die folgenden Anforderungen für Abonnements:

Sie müssen Filter implementieren und den Durchsatz maximieren, während Sie Filter auswerten.
Welche Filtertypen sollten Sie implementieren? Ziehen Sie zum Beantworten die entsprechenden Filtertypen auf die richtigen Abonnements. Jeder Filtertyp kann einmal, mehrmals oder überhaupt nicht verwendet werden. Möglicherweise müssen Sie die geteilte Leiste zwischen den Fenstern ziehen oder einen Bildlauf durchführen, um den Inhalt anzuzeigen.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Answer:
Explanation:

Erläuterung:
FutureOrders: SQLFilter
HighPriortyOrders: CorrelationFilter
Nur CorrelationID
InternationalOrders: SQLFilter
Land NICHT USA erfordert einen SQL-Filter
HighQuantityOrders: SQLFilter
Es müssen relationale Operatoren verwendet werden, sodass ein SQL-Filter erforderlich ist.
AllOrders: Kein Filter
SQL-Filter: SQL-Filter - Ein SqlFilter enthält einen SQL-ähnlichen Bedingungsausdruck, der im Broker anhand der benutzerdefinierten Eigenschaften und Systemeigenschaften der ankommenden Nachrichten ausgewertet wird. Allen Systemeigenschaften muss sys vorangestellt werden. im bedingten Ausdruck. Die SQL-Teilmenge für Filterbedingungen prüft, ob Eigenschaften (EXISTS) sowie Nullwerte (IS NULL), logisches NOT / AND / OR, Vergleichsoperatoren, einfache numerische Arithmetik und einfache Textmusterübereinstimmung vorhanden sind MÖGEN.
Korrelationsfilter - Ein CorrelationFilter enthält eine Reihe von Bedingungen, die mit mindestens einer der Benutzer- und Systemeigenschaften einer ankommenden Nachricht abgeglichen werden. In der Regel werden Übereinstimmungen mit der CorrelationId-Eigenschaft verwendet, die Anwendung kann jedoch auch Übereinstimmungen mit ContentType, Label, MessageId, ReplyTo, ReplyToSessionId, SessionId, To und beliebigen benutzerdefinierten Eigenschaften auswählen. Eine Übereinstimmung liegt vor, wenn der Wert einer ankommenden Nachricht für eine Eigenschaft dem im Korrelationsfilter angegebenen Wert entspricht. Bei Zeichenfolgenausdrücken wird beim Vergleich zwischen Groß- und Kleinschreibung unterschieden. Wenn Sie mehrere Übereinstimmungseigenschaften angeben, kombiniert der Filter diese als logische UND-Bedingung. Dies bedeutet, dass alle Bedingungen übereinstimmen müssen, damit der Filter übereinstimmt.
Boolesche Filter - Mit TrueFilter und FalseFilter werden entweder alle ankommenden Nachrichten (true) oder keine ankommenden Nachrichten (false) für das Abonnement ausgewählt.
Verweise:
https://docs.microsoft.com/en-us/azure/service-bus-messaging/topic-filters

NEW QUESTION: 2
_____ represent the collective conception of what communities find desirable, important
and morally proper.
A. Morals
B. Character traits
C. Norms
D. Organizational cultures
E. Values
Answer: E

NEW QUESTION: 3

A. software RAID
B. Linux LVM
C. GPT/MBR hybrid disks
D. Windows dynamic volumes
E. Windows basic volumes
Answer: A,C

NEW QUESTION: 4
You are working on a virtual guest design for the deployment of a critical business application. The software
vendor has provided
you with
detailed application requirements for the projected workloads. Which
of the following scaling approaches does this describe?
A. Adaptive
B. Predictive
Answer: B
Explanation:
There are two types of scaling approaches
in virtual platforms:
adaptive and predictive. Both approaches are usable; however, a designer must work out which is the best approach for each project. The adaptive approach to guest virtual
machine design is a major advantage that virtualization technology brings to a datacenter. It allows a guest virtual machine to be created initially on a few metrics or high-level requirements
(such as a limited
budget) and
scaled (that is, grown, not shrunk) through the virtual machine life cycle. In many cases, this scaling can be performed hot/live without outage/downtime to the running applications.
The predictive approach, on the other hand, requires more planning and research, and you must know the metrics before deployment. The advantage here is that once the virtual machine has been deployed, only application maintenance is required. The application requirements are known.