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NEW QUESTION: 1
개발자는 Amazon S3 버킷에서 객체의 주요 접두사 및 스토리지 크기를 시각화하기 위해 실시간 대시 보드 웹 애플리케이션을 구축하라는 요청을 받았습니다. Amazon DynamoDB는 Amazon S3 메타 데이터를 저장하는 데 사용됩니다.
Amazon S3 버킷의 객체 상태에 따라 실시간 대시 보드를 최신 상태로 유지하기 위한 최적의 가장 비용 효율적인 디자인은 무엇입니까?
A. Lambda 함수가 지원하는 Amazon S3 이벤트 알림을 사용하여 메타 데이터를 DynamoDB에 유지합니다. 웹 애플리케이션이이 변경 사항을 반영하도록 DynamoDB 테이블을 폴링하도록 합니다.
B. Amazon EC2 인스턴스 내에서 cron 작업을 실행하여 Amazon S3 내의 모든 객체를 나열하고 메타 데이터를 DynamoDB에 유지합니다. 웹 애플리케이션이이 변경 사항을 반영하도록 DynamoDB 테이블을 폴링하도록 합니다.
C. 새로운 Amazon EMR 클러스터를 생성하여 Amazon S3 객체에 대한 모든 메타 데이터를 가져옵니다. 메타 데이터를 DynamoDB에 유지합니다. 웹 애플리케이션이이 변경 사항을 반영하도록 DynamoDB 테이블을 폴링하도록 합니다.
D. AWS Lambda 함수가 지원하는 Amazon CloudWatch 이벤트를 사용하십시오. Amazon S3 API 호출을 실행하여 모든 Amazon S3 객체 목록을 가져오고 DynamoDB 내에 메타 데이터를 유지하십시오. 웹 애플리케이션이이 변경 사항을 반영하도록 DynamoDB 테이블을 폴링하도록 합니다.
Answer: D

NEW QUESTION: 2
A client diagnosed with severe anemia is to receive 2 U of packed red blood cells. Prior to starting the blood transfusion, the nurse must:
A. Use microdrip tubing for the blood administration
B. Have the registered nurse in charge assume responsibility for verifying the client and blood product information
C. Take a baseline set of vital signs
D. Hang Ringer's lactate as the companion fluid
Answer: C
Explanation:
Explanation/Reference:
Explanation:
(A) A baseline set of vital signs is necessary to determine if any transfusion reactions occur as the blood product is being administered. (B) The only companion fluid to be used during a blood transfusion is normal saline. The calcium in Ringer's lactate can cause clotting. (C) Only a blood administration set should be used. A microdrip tube would cause lysis of the red blood cells. (D) Proper identification of the recipient and the blood product must be validated by at least two people.

NEW QUESTION: 3
Siehe Ausstellung.

Welcher Schritt reduziert nach dem Ausführen des Codes in der Ausstellung die Datenmenge, die der NETCONF-Server an den NETCONF-Client zurückgibt, nur auf die Konfiguration der Schnittstelle?
A. Verwenden Sie die JSON-Bibliothek, um die vom NETCONF-Server zurückgegebenen Daten für die Konfiguration der Schnittstelle zu analysieren.
B. Verwenden Sie die Ixml-Bibliothek, um die vom NETCONF-Server zurückgegebenen Daten für die Konfiguration der Schnittstelle zu analysieren.
C. Erstellen Sie einen JSON-Filter als Zeichenfolge und übergeben Sie ihn als Argument an die Methode get_config ().
D. Erstellen Sie einen XML-Filter als Zeichenfolge und übergeben Sie ihn als Argument an die Methode get_config ().
Answer: A

NEW QUESTION: 4
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 Trennleiste 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