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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cost Control | 18.5% | - Reserved capacity planning
- Cost optimization strategies
|
| Topic 2: Design for Organizational Complexity | 12.5% | - Cross-account strategies and AWS organizations
- Networks
|
| Topic 3: Migration Planning | 15% | - Data migration considerations
|
| Topic 4: Design for New Solutions | 31% | - Database migration
|
| Topic 5: Continuous Improvement for Existing Solutions | 23% | - Modernization strategies
|
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NEW QUESTION # 791
A company needs to run large batch-processing jobs on data that is stored in an Amazon S3 bucket. The jobs perform simul-ations. The results of the jobs are not time sensitive, and the process can withstand interruptions.
Each job must process 15-20 GB of data when the data is stored in the S3 bucket. The company will store the output from the jobs in a different Amazon S3 bucket for further analysis.
Which solution will meet these requirements MOST cost-effectively?
Answer: D
Explanation:
The workload consists of large batch-processing simulation jobs that read 15-20 GB per job from Amazon S3, write results back to S3, are not time sensitive, and can tolerate interruptions. These characteristics are ideal for using EC2 Spot Instances, which provide steep discounts compared to On-Demand pricing in exchange for potential interruptions.
AWS Batch is designed specifically for batch and simulation workloads. It can dynamically provision compute resources, manage job queues, retry failed jobs, and integrate tightly with EC2 Spot Instances. Using an AWS Batch compute environment that is configured to use EC2 Spot Instances with the SPOT_CAPACITY_OPTIMIZED allocation strategy allows AWS Batch to choose the lowest interruption- risk Spot capacity pools automatically while still giving the largest cost savings.
Option B leverages these capabilities. It creates an AWS Batch compute environment using only Spot Instances and uses the SPOT_CAPACITY_OPTIMIZED allocation strategy to select capacity across instance types with lower interruption rates. Since the simulations are not time sensitive and can withstand interruptions, the risk of Spot interruptions is acceptable, and AWS Batch will re-run interrupted jobs as needed. This combination provides the most cost-effective solution while minimizing operational overhead for job scheduling and capacity management.
Option A uses Lambda with Step Functions. Lambda has limits on memory, runtime, and payload size, making it a poor fit for processing 15-20 GB of data per job. In addition, the concurrency and invocation cost for large-scale, long-running simulation workloads would be higher and less cost-effective than EC2 Spot Instances.
Option C mixes On-Demand and Spot Instances. While this can provide reliability for more time-critical workloads, it is less cost-effective than a pure Spot configuration when the workload explicitly can tolerate interruptions and is not time sensitive.
Option D uses Amazon EKS with a mix of On-Demand and Spot Instances. While this can be made to work, it requires managing Kubernetes clusters, node groups, and job scheduling, which introduces more operational complexity than using AWS Batch, and the inclusion of On-Demand capacity reduces cost-effectiveness compared to pure Spot-based batch processing.
Therefore, using AWS Batch with EC2 Spot Instances and the SPOT_CAPACITY_OPTIMIZED allocation strategy (option B) is the most cost-effective solution for this tolerant, batch-processing workload.
References:AWS documentation on AWS Batch for running batch and simulation jobs.AWS guidance on using EC2 Spot Instances and the SPOT_CAPACITY_OPTIMIZED allocation strategy for cost-effective, interruption-tolerant workloads.
NEW QUESTION # 792
A company is migrating a legacy application from an on-premises data center to AWS. The application uses MongoDB as a key-value database According to the company's technical guidelines, all Amazon EC2 instances must be hosted in a private subnet without an internet connection. In addition, all connectivity between applications and databases must be encrypted. The database must be able to scale based on demand.
Which solution will meet these requirements?
Answer: B
Explanation:
A is the correct answer because it uses Amazon DocumentDB (with MongoDB compatibility) as a key-value database that can scale based on demand and supports encryption in transit and at rest. Amazon DocumentDB is a fully managed document database service that is designed to be compatible with the MongoDB API. It is a NoSQL database that is optimized for storing, indexing, and querying JSON data. Amazon DocumentDB supports encryption in transit using TLS and encryption at rest using AWS Key Management Service (AWS KMS). Amazon DocumentDB also supports provisioned IOPS volumes that can scale up to 64 TiB of storage and 256,000 IOPS per cluster. To connect to Amazon DocumentDB, you can use the instance endpoint, which connects to a specific instance in the cluster, or the cluster endpoint, which connects to the primary instance or one of the replicas in the cluster. Using the cluster endpoint is recommended for high availability and load balancing purposes. Reference:
https://docs.aws.amazon.com/documentdb/latest/developerguide/what-is.html
https://docs.aws.amazon.com/documentdb/latest/developerguide/security.encryption.html
https://docs.aws.amazon.com/documentdb/latest/developerguide/limits.html
https://docs.aws.amazon.com/documentdb/latest/developerguide/connecting.html
NEW QUESTION # 793
A finance company hosts a data lake in Amazon S3. The company receives financial data records over SFTP each night from several third parties. The company runs its own SFTP server on an Amazon EC2 instance in a public subnet of a VPC. After the files ate uploaded, they are moved to the data lake by a cron job that runs on the same instance. The SFTP server is reachable on DNS sftp.examWe.com through the use of Amazon Route
53.
What should a solutions architect do to improve the reliability and scalability of the SFTP solution?
Answer: B
NEW QUESTION # 794
A solutions architect has implemented a SAML 2.0 federated identity solution with their company's on-premises identity provider (IdP) to authenticate users' access to the AWS environment. When the solutions architect tests authentication through the federated identity web portal access to the AWS environment is granted. However, when test users attempt to authenticate through the federated identity web portal, they are not able to access the AWS environment. Which items should the solutions architect check to ensure identity federation is property configured? (Choose three.)
Answer: A,D,F
NEW QUESTION # 795
A company has deployed an application on AWS Elastic Beanstalk. The application uses Amazon Aurora for the database layer. An Amazon CloudFront distribution serves web requests and includes the Elastic Beanstalk domain name as the origin server. The distribution is configured with an alternate domain name that visitors use when they access the application.
Each week, the company takes the application out of service for routine maintenance. During the time that the application is unavailable, the company wants visitors to receive an informational message instead of a CloudFront error message.
A solutions architect creates an Amazon S3 bucket as the first step in the process.
Which combination of steps should the solutions architect take next to meet the requirements? (Choose three.)
Answer: B,E,F
Explanation:
Explanation
The company wants to serve static content from an S3 bucket during the maintenance period. To do this, the following steps are required:
* Upload static informational content to the S3 bucket. This will provide the source of the content that will be served to the visitors.
* Set the S3 bucket as a second origin in the original CloudFront distribution. Configure the distribution and the S3 bucket to use an origin access identity (OAI). This will allow CloudFront to access the S3 bucket securely and prevent public access to the bucket.
* During the weekly maintenance, edit the default cache behavior to use the S3 origin. Revert the change when the maintenance is complete. This will redirect all web requests to the S3 bucket instead of the Elastic Beanstalk domain name.
The other options are not correct because:
* Creating a new CloudFront distribution is not necessary and would require changing the alternate domain name configuration.
* Creating a cache behavior for the S3 origin on a new distribution would not work because the visitors
* would still access the original distribution using the alternate domain name.
* Configuring Elastic Beanstalk to serve traffic from the S3 bucket is not possible and would not achieve the desired result.
References:
* https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/DownloadDistS3AndCustomOri
* https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/private-content-restricting-acces
* https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/distribution-web-values-specify.
NEW QUESTION # 796
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