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NEW QUESTION: 1
You have written a server-side Node.Js application and a web application with an HTML/JavaScript front end that uses the Angular.js framework.
The server-side application connects to an Amazon Redshift cluster, issues queries, and then returns the results to the front end for display.
Your user base is very large and distributed, but it is important to keep the cost of running this application low.
Which deployment strategy is both technically valid and the most cost-effective?
A. Upload the HTML, CSS, images, and JavaScript for the front end to an Amazon S3 bucket.
Use AWS Elastic Beanstalk to deploy the Node.js application.
Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.
B. Upload the HTML, CSS, images, and JavaScript for the front end to an Amazon Simple Storage Service (S3) bucket.
Create an Amazon CloudFront distribution with this bucket as its origin. Use AWS Elastic Beanstalk to deploy the Node.js application.
Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.
C. Deploy an AWS OpsWorks stack with three layers: a static web server layer for your front end, a Node.js app server layer for your server-side application, and a Redshift DB layer for your Amazon Redshift duster.
D. Deploy an AWS Elastic Beanstalk application with two environments: one for the Node.js application and another for the web front end.
Launch an Amazon Redshift cluster, and point your application to its Java Database Connectivity (JDBC) endpoint.
E. Upload the HTML, CSS, images, and JavaScript for the front end, plus the Node.js code for the server-side application, to an Amazon S3 bucket.
Create a CloudFront distribution with this bucket as its origin.
Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.
Answer: B
NEW QUESTION: 2
When configuring a destination NAT rule, you notice that you are unable to configure the to match condition on an SRX Series device. In this scenario, which two statements are correct? (Choose two.)
A. Destination NAT occurs after the route lookup in the flow module.
B. Destination NAT occurs before the route lookup in the flow module.
C. Destination NAT occurs after the zone lookup in the flow module.
D. Destination NAT occurs before the zone lookup in the flow module.
Answer: B,D
NEW QUESTION: 3
Welches der folgenden Risiken ist bei der Implementierung eines Data Warehouse am GRÖSSTEN?
A. Datenvervielfältigung
B. längere Reaktionszeit auf den Produktionssystemen
C. Zugriffskontrollen, die nicht ausreichen, um Datenänderungen zu verhindern
D. Daten, die nicht aktualisiert wurden oder aktuell sind
Answer: C
Explanation:
Erläuterung:
Sobald sich die Daten in einem Warehouse befinden, sollten keine Änderungen daran vorgenommen und Zugriffssteuerungen eingerichtet werden, um Datenänderungen zu verhindern. Eine längere Reaktionszeit auf den Produktionssystemen ist kein Risiko, da sich ein Data Warehouse nicht auf die Produktionsdaten auswirkt. Basierend auf der Datenreplikation ist die Datenduplizierung in einem Data Warehouse inhärent. Die Umwandlung von Daten von Betriebssystemen in ein Data Warehouse erfolgt in vordefinierten Intervallen. Daher sind die Daten möglicherweise nicht aktuell.