A company has built a high performance computing (HPC) cluster in AWS for a tightly coupled workload that generates a large number of shared files stored in Amazon EFS. The cluster was performing well when the number of Amazon EC2 instances in the cluster was 100. However, when the company increased the cluster size to 1.000 EC2 instances, overall performance was well below expectations.Which collection of design choices should a solutions architect make to achieve the maximum performance from the HPC cluster? (Choose three.)
Answer(s): A,C,F
A) Launching the HPC cluster within a single Availability Zone reduces latency, which is crucial for tightly coupled workloads.C) Selecting EC2 instances with Elastic Fabric Adapter (EFA) provides lower latency and higher throughput for high-performance computing, which is essential for improving the cluster's performance at larger scales.F) Replacing Amazon EFS with Amazon FSx for Lustre is a better choice for HPC workloads because FSx for Lustre is optimized for fast, shared storage and high-throughput performance, ideal for large-scale, tightly coupled workloads.These options provide the best performance improvements for the HPC cluster when scaling to a larger number of instances.
A company is designing an AWS Organizations structure. The company wants to standardize a process to apply tags across the entire organization. The company will require tags with specific values when a user creates a new resource. Each of the company's OUs will have unique tag values.Which solution will meet these requirements?
Answer(s): A
A) Using a Service Control Policy (SCP) to deny the creation of resources that do not have the required tags ensures that all resources comply with the company's tagging standards. Attaching a tag policy with specific tag values to each Organizational Unit (OU) allows the company to enforce unique tag values for each OU. This solution meets the requirement of standardizing tags across the organization while ensuring that specific tag values are applied at the OU level.
A company has more than 10,000 sensors that send data to an on-premises Apache Kafka server by using the Message Queuing Telemetry Transport (MQTT) protocol. The on-premises Kafka server transforms the data and then stores the results as objects in an Amazon S3 bucket.Recently, the Kafka server crashed. The company lost sensor data while the server was being restored. A solutions architect must create a new design on AWS that is highly available and scalable to prevent a similar occurrence.Which solution will meet these requirements?
Answer(s): C
C) Deploying AWS IoT Core and connecting it to an Amazon Kinesis Data Firehose provides a highly available, scalable, and serverless solution to handle the ingestion of data from the sensors. AWS Lambda can be used to transform the data before storing it in Amazon S3, eliminating the need for self-managed Kafka servers and ensuring that the system is resilient to failures. This solution prevents data loss and provides seamless scalability, making it ideal for the company's requirements
A company recently started hosting new application workloads in the AWS Cloud. The company is using Amazon EC2 instances. Amazon Elastic File System (Amazon EFS) file systems, and Amazon RDS DB instances.To meet regulatory and business requirements, the company must make the following changes for data backups:•Backups must be retained based on custom daily, weekly, and monthly requirements.•Backups must be replicated to at least one other AWS Region immediately after capture.•The backup solution must provide a single source of backup status across the AWS environment.•The backup solution must send immediate notifications upon failure of any resource backup.Which combination of steps will meet these requirements with the LEAST amount of operational overhead? (Choose three.)
Answer(s): A,B,D
A) Creating an AWS Backup plan with rules for each retention requirement allows you to meet the company's custom daily, weekly, and monthly backup retention needs with minimal operational overhead.B) Configuring the AWS Backup plan to copy backups to another AWS Region ensures that backups are immediately replicated to meet the cross-region replication requirement.D) Adding an Amazon SNS topic to the backup plan provides immediate notifications for any backup failure, ensuring timely alerts if a backup job fails.This combination leverages AWS Backup's native features to meet all the requirements efficiently and with the least operational effort.
A company is developing a gene reporting device that will collect genomic information to assist researchers with collecting large samples of data from a diverse population. The device will push 8 KB of genomic data every second to a data platform that will need to process and analyze the data and provide information back to researchers. The data platform must meet the following requirements:•Provide near-real-time analytics of the inbound genomic data•Ensure the data is flexible, parallel, and durable•Deliver results of processing to a data warehouseWhich strategy should a solutions architect use to meet these requirements?
Answer(s): B
B) Using Amazon Kinesis Data Streams to collect inbound genomic data provides a flexible, scalable, and durable stream for real-time analytics. Kinesis clients can be used to analyze the data in parallel, ensuring near-real-time processing. The results can be stored in an Amazon Redshift cluster using Amazon EMR for further analysis, which meets the requirement of saving processed data in a data warehouse. This strategy offers low-latency analytics and scalable data processing.
A solutions architect needs to define a reference architecture for a solution for three-tier applications with web. application, and NoSQL data layers. The reference architecture must meet the following requirements:•High availability within an AWS Region•Able to fail over in 1 minute to another AWS Region for disaster recovery•Provide the most efficient solution while minimizing the impact on the user experienceWhich combination of steps will meet these requirements? (Choose three.)
Answer(s): B,C,E
B) Using an Amazon Route 53 failover routing policy with a TTL of 30 seconds allows for quick failover from the primary Region to the disaster recovery Region, meeting the requirement for 1-minute failover.C) Implementing a DynamoDB global table ensures that data is available in both Regions simultaneously, providing high availability and disaster recovery without the need for manual data replication.E) A hot standby model with Auto Scaling groups ensures high availability across multiple Availability Zones and Regions, while using zonal Reserved Instances for base capacity and On-Demand Instances for scaling helps balance cost and performance.This combination meets the requirements for high availability, disaster recovery, and minimizing the impact on the user experience.
A company manufactures smart vehicles. The company uses a custom application to collect vehicle data. The vehicles use the MQTT protocol to connect to the application. The company processes the data in 5-minute intervals. The company then copies vehicle telematics data to on-premises storage. Custom applications analyze this data to detect anomalies.The number of vehicles that send data grows constantly. Newer vehicles generate high volumes of data. The on-premises storage solution is not able to scale for peak traffic, which results in data loss. The company must modernize the solution and migrate the solution to AWS to resolve the scaling challenges.Which solution will meet these requirements with the LEAST operational overhead?
B) Using AWS IoT Core to receive vehicle data and routing it to Amazon Kinesis Data Firehose for storage in Amazon S3 provides a scalable and serverless solution with minimal operational overhead. Kinesis Data Analytics can process data in near real-time to detect anomalies, ensuring efficient processing and analysis of large volumes of data. This solution meets the scaling challenges and operational needs without requiring complex infrastructure management.
During an audit, a security team discovered that a development team was putting IAM user secret access keys in their code and then committing it to an AWS CodeCommit repository. The security team wants to automatically find and remediate instances of this security vulnerability.Which solution will ensure that the credentials are appropriately secured automatically?
Answer(s): D
D) Configuring a CodeCommit trigger to invoke an AWS Lambda function ensures that new code submissions are automatically scanned for credentials. If credentials are found, the Lambda function can immediately disable them in AWS IAM and notify the user, providing a proactive and automated approach to securing the credentials. This solution effectively addresses the security vulnerability while minimizing operational overhead.
Post your Comments and Discuss Amazon AWS-SOLUTIONS-ARCHITECT-PROFESSIONAL exam prep with other Community members:
Our website is free, but we have to fight against AI bots and content theft. We're sorry for the inconvenience caused by these security measures. You can access the rest of the AWS-SOLUTIONS-ARCHITECT-PROFESSIONAL content, but please register or login to continue.