AWS-Solutions-Architect-Professional Unterlagen mit echte Prüfungsfragen der Amazon Zertifizierung

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Unsere Amazon AWS-Solutions-Architect-Professional Prüfungsunterlage (AWS Certified Solutions Architect - Professional) enthalten alle echten, originalen und richtigen Fragen und Antworten. Die Abdeckungsrate unserer Amazon AWS-Solutions-Architect-Professional Unterlagen (Fragen und Antworten) (AWS Certified Solutions Architect - Professional) ist normalerweise mehr als 98%.

Die AWS-Solutions-Architect-Professional-Zertifizierung wird in der IT-Branche sehr geschätzt und von Organisationen weltweit anerkannt. Der Erwerb dieser Zertifizierung zeigt, dass der Kandidat über die Fähigkeiten und Kenntnisse verfügt, die für die Gestaltung und Implementierung komplexer AWS-Architekturen erforderlich sind, die den Bedürfnissen moderner Unternehmen entsprechen. Diese Zertifizierung kann Fachleuten helfen, ihre Karriere voranzutreiben und neue Möglichkeiten im Bereich Cloud Computing zu eröffnen.

Die Amazon AWS-Solutions-Architect-Professional (AWS Certified Solutions Architect - Professional) Prüfung ist eine Zertifizierung, die von Amazon Web Services (AWS) für Fachleute angeboten wird, die skalierbare, ausfallsichere Systeme auf AWS entwerfen und bereitstellen. Diese Zertifizierung richtet sich an Personen, die Erfahrung mit AWS haben und fortgeschrittene technische Fähigkeiten besitzen, wie zum Beispiel das Entwerfen und Bereitstellen von Anwendungen auf AWS, das Auswählen der geeigneten AWS-Services für eine bestimmte Situation und das Problembeheben bei AWS-Bereitstellungen.

Die AWS-Solutions-Architect-Professional-Prüfung besteht aus 75 Fragen der Multiple-Choice- und Multiple-Response-Fragen und hat eine Zeitlimit von 180 Minuten. Die Prüfung deckt eine breite Palette von Themen ab, darunter Netzwerkdesign, Hybridarchitektur, AWS -Dienste und -Funktionen, Sicherheit und Konformität sowie Kostenoptimierung. Die Prüfung ist in mehreren Sprachen erhältlich, einschließlich Englisch, Japanisch und vereinfachtes Chinesisch.

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Amazon AWS Certified Solutions Architect - Professional AWS-Solutions-Architect-Professional Prüfungsfragen mit Lösungen (Q303-Q308):

303. Frage
A company stores 200 GB of data each month in Amazon S3. The company needs to perform analytics on this data at the end of each month to determine the number of items sold in each sales region for the previous month.
Which analytics strategy is MOST cost-effective for the company to use?

A. Create an Amazon Elasticsearch Service (Amazon ES) cluster. Query the data in Amazon ES. Visualize the data by using Kibana.
B. Create a table in the AWS Glue Data Catalog. Query the data in Amazon S3 by using Amazon Athena.
Visualize the data in Amazon QuickSight.
C. Create an Amazon Redshift cluster. Query the data in Amazon Redshift, and upload the results to Amazon S3. Visualize the data in Amazon QuickSight.
D. Create an Amazon EMR cluster. Query the data by using Amazon EMR, and store the results in Amazon S3. Visualize the data in Amazon QuickSight.

Antwort: A

304. Frage
A company is moving a business-critical, multi-tier application to AWS. The architecture consists of a desktop client application and server infrastructure. The server infrastructure resides in an on-premises data center that frequently fails to maintain the application uptime SLA of 99.95%. A Solutions Architect must re-architect the application to ensure that it can meet or exceed the SLA.
The application contains a PostgreSQL database running on a single virtual machine. The business logic and presentation layers are load balanced between multiple virtual machines. Remote users complain about slow load times while using this latency-sensitive application.
Which of the following will meet the availability requirements with little change to the application while improving user experience and minimizing costs?

A. Migrate the database to a PostgreSQL database in Amazon EC2. Host the application and presentation layers in automatically scaled Amazon ECS containers behind an Application Load Balancer. Allocate an Amazon WorkSpaces WorkSpace for each end user to improve the user experience.
B. Migrate the database to an Amazon Redshift cluster with at least two nodes. Combine and host the application and presentation layers in automatically scaled Amazon ECS containers behind an Application Load Balancer. Use Amazon CloudFront to improve the user experience.
C. Migrate the database to an Amazon RDS Aurora PostgreSQL configuration. Host the application and presentation layers in an Auto Scaling configuration on Amazon EC2 instances behind an Application Load Balancer. Use Amazon AppStream 2.0 to improve the user experience.
D. Migrate the database to an Amazon RDS PostgreSQL Multi-AZ configuration. Host the application and presentation layers in automatically scaled AWS Fargate containers behind a Network Load Balancer. Use Amazon ElastiCache to improve the user experience.

Antwort: C

305. Frage
You deployed your company website using Elastic Beanstalk and you enabled log file rotation to S3. An
Elastic Map Reduce job is periodically analyzing the logs on S3 to build a usage dashboard that you share
with your CIO.
You recently improved overall performance of the website using Cloud Front for dynamic content delivery
and your website as the origin.
After this architectural change, the usage dashboard shows that the traffic on your website dropped by an
order of magnitude. How do you fix your usage dashboard'?

A. Turn on Cloud Trail and use trail log tiles on S3 as input of the Elastic Map Reduce job
B. Use Elastic Beanstalk "Rebuild Environment" option to update log delivery to the Elastic Map Reduce
job.
C. Use Elastic Beanstalk 'Restart App server(s)" option to update log delivery to the Elastic Map Reduce
job.
D. Change your log collection process to use Cloud Watch ELB metrics as input of the Elastic
MapReduce job
E. Enable Cloud Front to deliver access logs to S3 and use them as input of the Elastic Map Reduce job.

Antwort: B

306. Frage
A company wants to refactor its retail ordering web application that currently has a load-balanced Amazon EC2 instance fleet for web hosting, database API services, and business logic. The company needs to create a decoupled, scalable architecture with a mechanism for retaining failed orders while also minimizing operational costs.
Which solution will meet these requirements?

A. Use Amazon S3 for web hosting with Amazon API Gateway for database API services. Use Amazon Simple Queue Service (Amazon SQS) for order queuing. Use Amazon Elastic Container Service (Amazon ECS) for business logic with Amazon SQS long polling for retaining failed orders.
B. Use Amazon S3 for web hosting with AWS AppSync for database API services. Use Amazon Simple Queue Service (Amazon SQS) for order queuing. Use AWS Lambda for business logic with an Amazon SQS dead-letter queue for retaining failed orders.
C. Use Amazon Lightsail for web hosting with AWS AppSync for database API services. Use Amazon Simple Email Service (Amazon SES) for order queuing. Use Amazon Elastic Kubernetes Service (Amazon EKS) for business logic with Amazon OpenSearch Service for retaining failed orders.
D. Use AWS Elastic Beanstalk for web hosting with Amazon API Gateway for database API services. Use Amazon MQ for order queuing. Use AWS Step Functions for business logic with Amazon S3 Glacier Deep Archive for retaining failed orders.

Antwort: B

Begründung:
*Use Amazon S3 for web hosting with AWS AppSync for database API services. Use Amazon Simple Queue Service (Amazon SQS) for order queuing. Use AWS Lambda for business logic with an Amazon SQS dead-letter queue for retaining failed orders.
This solution will allow you to:
*Host a static website on Amazon S3 without provisioning or managing servers1.
*Use AWS AppSync to create a scalable GraphQL API that connects to your database and other data sources1.
*Use Amazon SQS to decouple and scale your order processing microservices1.
*Use AWS Lambda to run code for your business logic without provisioning or managing servers1.
*Use an Amazon SQS dead-letter queue to retain messages that can't be processed by your Lambda function1.

307. Frage
A fitness tracking company serves users around the world, with its primary markets in North America and Asia. The company needs to design an infrastructure for its read-heavy user authorization application with the following requirements:
* Be resilient to problems with the application in any Region.
* Write to a database in a single Region.
* Read from multiple Regions.
* Support resiliency across application tiers in each Region.
* Support the relational database semantics reflected in the application.
Which combination of steps should a solutions architect take? (Select TWO.)

A. Use an Amazon Route 53 geolocation routing policy combined with a failover routing policy.
B. Set up web, application, and Amazon RDS for MySQL instances in each Region. Set up the application so that reads are local and writes are partitioned based on the user. Set up a Multi-AZ failover for the web, application, and database servers. Set up cross-Region replication for the database layer.
C. Use an Amazon Route 53 geoproximity routing policy combined with a multivalue answer routing policy.
D. Deploy web. application, and MySQL database servers to Amazon EC2 instances in each Region. Set up the application so that reads and writes are local to the Region. Create snapshots of the web, application, and database servers and store the snapshots in an Amazon S3 bucket in both Regions. Set up cross-Region replication for the database layer.
E. Set up active-active web and application servers in each Region. Deploy an Amazon Aurora global database with clusters in each Region. Set up the application to use the in-Region Aurora database endpoints. Create snapshots of the web and application servers and store them in an Amazon S3 bucket in both Regions.

Antwort: A,E

Begründung:
Explanation
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html Geoproximity routing policy is good to control the user traffic to specific regions. However, a multivalue answer routing policy may cause the users to be randomly sent to other healthy regions that may be far away from the user's location. You can use geolocation routing policy to direct the North American users to your servers on the North America region and configure failover routing to the Asia region in case the North America region fails. You can configure the same for the Asian users pointed to the Asia region servers and have the North America region as its backup.

308. Frage
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AWS-Solutions-Architect-Professional Unterlagen mit echte Prüfungsfragen der Amazon Zertifizierung

AWS-Solutions-Architect-Professional Tests, AWS-Solutions-Architect-Professional Online Tests

Amazon AWS Certified Solutions Architect - Professional AWS-Solutions-Architect-Professional Prüfungsfragen mit Lösungen (Q303-Q308):