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A medical company is building a data lake on Amazon S3. The data must be encrypted in transit and at rest. The data must remain protected even if S3 bucket is inadvertently made public. Which combination of steps will meet these requirements? (Choose three.)
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A solutions architect needs to advise a company on how to migrate its on-premises data processing application to the AWS Cloud. Currently, users upload input files through a web portal. The web server then stores the uploaded files on NAS and messages the processing server over a message queue. Each media file can take up to 1 hour to process. The company has determined that the number of media files awaiting processing is significantly higher during business hours, with the number of files rapidly declining after business hours. What is the MOST cost-effective migration recommendation?
An online e-commerce business is running a workload on AWS. The application architecture includes a web tier, an application tier for business logic, and a database tier for user and transactional data management. The database server has a 100 GB memory requirement. The business requires cost-efficient disaster recovery for the application with an RTO of 5 minutes and an RPO of 1 hour. The business also has a regulatory for out-of-region disaster recovery with a minimum distance between the primary and alternate sites of 250 miles. Which of the following options can the Solutions Architect design to create a comprehensive solution for this customer that meets the disaster recovery requirements?
A Solutions Architect is migrating a 10 TB PostgreSQL database to Amazon RDS for PostgreSQL. The company’s internet link is 50 MB with a VPN in the Amazon VPC, and the Solutions Architect needs to migrate the data and synchronize the changes before the cutover. The cutover must take place within an 8-day period. What is the LEAST complex method of migrating the database securely and reliably?
For AWS CloudFormation, which stack state refuses UpdateStack calls?
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A company’s processing team has an AWS account with a production application. The application runs on Amazon EC2 instances behind a Network Load Balancer (NLB). The EC2 instances are hosted in private subnets in a VPC in the eu- west- 1 Region. The VPC was assigned the CIDR block of 10.0.0.0/16. The billing team recently created a new AWS account and deployed an application on EC2 instances that are hosted in private subnets in a VPC in the eu-central-1 Region. The new VPC is assigned the CIDR block of 10.0.0.0/16. The processing application needs to securely communicate with the billing application over a proprietary TCP port. What should a solutions architect do to meet this requirement with the LEAST amount of operational effort?
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Question 80 - SAP-C01 discussion

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A company has a High Performance Computing (HPC) cluster in its on-premises data center, which runs thousands of jobs in parallel for one week every month, processing petabytes of images. The images are stored on a network file server, which is replicated to a disaster recovery site. The on-premises data center has reached capacity and has started to spread the jobs out over the course of the month in order to better utilize the cluster, causing a delay in the job completion.

The company has asked its Solutions Architect to design a cost-effective solution on AWS to scale beyond the current capacity of 5,000 cores and 10 petabytes of data. The solution must require the least amount of management overhead and maintain the current level of durability.

Which solution will meet the company’s requirements?

A.
Create a container in the Amazon Elastic Container Registry with the executable file for the job. Use Amazon ECS with Spot Fleet in Auto Scaling groups. Store the raw data in Amazon EBS SC1 volumes and write the output to Amazon S3.
Answers
A.
Create a container in the Amazon Elastic Container Registry with the executable file for the job. Use Amazon ECS with Spot Fleet in Auto Scaling groups. Store the raw data in Amazon EBS SC1 volumes and write the output to Amazon S3.
B.
Create an Amazon EMR cluster with a combination of On Demand and Reserved Instance Task Nodes that will use Spark to pull data from Amazon S3. Use Amazon DynamoDB to maintain a list of jobs that need to be processed by the Amazon EMR cluster.
Answers
B.
Create an Amazon EMR cluster with a combination of On Demand and Reserved Instance Task Nodes that will use Spark to pull data from Amazon S3. Use Amazon DynamoDB to maintain a list of jobs that need to be processed by the Amazon EMR cluster.
C.
Store the raw data in Amazon S3, and use AWS Batch with Managed Compute Environments to create Spot Fleets. Submit jobs to AWS Batch Job Queues to pull down objects from Amazon S3 onto Amazon EBS volumes for temporary storage to be processed, and then write the results back to Amazon S3.
Answers
C.
Store the raw data in Amazon S3, and use AWS Batch with Managed Compute Environments to create Spot Fleets. Submit jobs to AWS Batch Job Queues to pull down objects from Amazon S3 onto Amazon EBS volumes for temporary storage to be processed, and then write the results back to Amazon S3.
D.
Submit the list of jobs to be processed to an Amazon SQS to queue the jobs that need to be processed. Create a diversified cluster of Amazon EC2 worker instances using Spot Fleet that will automatically scale based on the queue depth. Use Amazon EFS to store all the data sharing it across all instances in the cluster.
Answers
D.
Submit the list of jobs to be processed to an Amazon SQS to queue the jobs that need to be processed. Create a diversified cluster of Amazon EC2 worker instances using Spot Fleet that will automatically scale based on the queue depth. Use Amazon EFS to store all the data sharing it across all instances in the cluster.
Suggested answer: B
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asked 16/09/2024
Mohand TIMSILINE
41 questions
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