A company is moving its data management application to AWS. The company wants to transition to an event-driven architecture. The architecture needs to the more distributed and to use serverless concepts whit performing the different aspects of the workflow. The company also wants to minimize operational overhead.
Which solution will meet these requirements?
A. Build out the workflow in AWS Glue Use AWS Glue to invoke AWS Lambda functions to process the workflow slaps
B. Build out the workflow in AWS Step Functions Deploy the application on Amazon EC2 Instances Use Step Functions to invoke the workflow steps on the EC2 instances
C. Build out the workflow in Amazon EventBridge. Use EventBridge to invoke AWS Lambda functions on a schedule to process the workflow steps.
D. Build out the workflow m AWS Step Functions Use Step Functions to create a stale machine Use the stale machine to invoke AWS Lambda functions to process the workflow steps
A company has one million users that use its mobile app. The company must analyze the data usage in near-real time. The company also must encrypt the data in near-real time and must store the data in a centralized location in Apache Parquet format for further processing.
Which solution will meet these requirements with the LEAST operational overhead?
A. Create an Amazon Kinesis data stream to store the data in Amazon S3. Create an Amazon Kinesis Data Analytics application to analyze the data. Invoke an AWS Lambda function to send the data to the Kinesis Data Analytics application.
B. Create an Amazon Kinesis data stream to store the data in Amazon S3. Create an Amazon EMR cluster to analyze the data. Invoke an AWS Lambda function to send the data to the EMR cluster.
C. Create an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Create an Amazon EMR cluster to analyze the data.
D. Create an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Create an Amazon Kinesis Data Analytics application to analyze the data
A company selves a dynamic website from a flee! of Amazon EC2 instances behind an Application Load Balancer (ALB) The website needs to support multiple languages to serve customers around the world The website's architecture is running in the us-west-1 Region and is exhibiting high request latency tor users that are located in other parts of the world
The website needs to serve requests quickly and efficiently regardless of a user's location However the company does not want to recreate the existing architecture across multiple Regions
What should a solutions architect do to meet these requirements?
A. Replace the existing architecture with a website that is served from an Amazon S3 bucket Configure an Amazon CloudFront distribution with the S3 bucket as the origin Set the cache behavior settings to cache based on the Accept-Language request header
B. Configure an Amazon CloudFront distribution with the ALB as the origin Set the cache behavior settings to cache based on the Accept-Language request header
C. Create an Amazon API Gateway API that is integrated with the ALB Configure the API to use the HTTP integration type Set up an API Gateway stage to enable the API cache based on the Accept-Language request header
D. Launch an EC2 instance in each additional Region and configure NGINX to act as a cache server for that Region Put all the EC2 instances and the ALB behind an Amazon Route 53 record set with a geolocation routing policy
A company has an On-premises volume backup solution that has reached its end of life. The company wants to use AWS as part of a new backup solution and wants to maintain local access to all the data while it is backed up on AWS. The
company wants to ensure that the data backed up on AWS is automatically and securely transferred.
Which solution meets these requirements?
A. Use AWS Snowball to migrate data out of the on-premises solution to Amazon S3. Configure on-premises systems to mount the Snowball S3 endpoint to provide local access to the data.
B. Use AWS Snowball Edge to migrate data out of the on-premises solution to Amazon S3.Use the Snowball Edge file interface to provide on-premises systems with local access to the data.
C. Use AWS Storage Gateway and configure a cached volume gateway. Run the Storage Gateway software application on premises and configure a percentage of data to cache locally. Mount the gateway storage volumes to provide local access to the data.
D. Use AWS Storage Gateway and configure a stored volume gateway. Run the Storage software application on premises and map the gateway storage volumes to on-premises storage. Mount the gateway storage volumes to provide local access to the data.
A company is using a content management system that runs on a single Amazon EC2 instance. The EC2 instance contains both the web server and the database software. The company must make its website platform highly available and must enable the website to scale to meet user demand.
What should a solutions architect recommend to meet these requirements?
A. Move the database to Amazon RDS, and enable automatic backups. Manually launch another EC2 instance in the same Availability Zone. Configure an Application Load Balancer in the Availability Zone, and set the two instances as targets.
B. Migrate the database to an Amazon Aurora instance with a read replica in the same Availability Zone as the existing EC2 instance. Manually launch another EC2 instance in the same Availability Zone. Configure an Application Load Balancer, and set the two EC2 instances as targets.
C. Move the database to Amazon Aurora with a read replica in another Availability Zone. Create an Amazon Machine Image (AMI) from the EC2 instance. Configure an Application Load Balancer in two Availability Zones. Attach an Auto Scaling group that uses the AMI across two Availability Zones.
D. Move the database to a separate EC2 instance, and schedule backups to Amazon S3. Create an Amazon Machine Image (AMI) from the original EC2 instance. Configure an Application Load Balancer in two Availability Zones. Attach an Auto Scaling group that uses the AMI across two Availability Zones.
A company needs to ingested and handle large amounts of streaming data that its application generates. The application runs on Amazon EC2 instances and sends data to Amazon Kinesis Data Streams. which is contained wild default settings. Every other day the application consumes the data and writes the data to an Amazon S3 bucket for business intelligence (BI) processing the company observes that Amazon S3 is not receiving all the data that trio application sends to Kinesis Data Streams.
What should a solutions architect do to resolve this issue?
A. Update the Kinesis Data Streams default settings by modifying the data retention period.
B. Update the application to use the Kinesis Producer Library (KPL) lo send the data to Kinesis Data Streams.
C. Update the number of Kinesis shards lo handle the throughput of me data that is sent to Kinesis Data Streams.
D. Turn on S3 Versioning within the S3 bucket to preserve every version of every object that is ingested in the S3 bucket.
A company offers a food delivery service that is growing rapidly. Because of the growth, the company's order processing system is experiencing scaling problems during peak traffic hours. The current architecture includes the following:
1.
A group of Amazon EC2 instances that run in an Amazon EC2 Auto Scaling group to collect orders from the application
2.
Another group of EC2 instances that run in an Amazon EC2 Auto Scaling group to fulfill orders
The order collection process occurs quickly, but the order fulfillment process can take longer. Data must not be lost because of a scaling event.
A solutions architect must ensure that the order collection process and the order fulfillment process can both scale properly during peak traffic hours. The solution must optimize utilization of the company's AWS resources.
Which solution meets these requirements?
A. Use Amazon CloudWatch metrics to monitor the CPU of each instance in the Auto Scaling groups. Configure each Auto Scaling group's minimum capacity according to peak workload values.
B. Use Amazon CloudWatch metrics to monitor the CPU of each instance in the Auto Scaling groups. Configure a CloudWatch alarm to invoke an Amazon Simple Notification Service (Amazon SNS) topic that creates additional Auto Scaling groups on demand.
C. Provision two Amazon Simple Queue Service (Amazon SQS) queues: one for order collection and another for order fulfillment. Configure the EC2 instances to poll their respective queue. Scale the Auto Scaling groups based on notifications that the queues send.
D. Provision two Amazon Simple Queue Service (Amazon SQS) queues: one for order collection and another for order fulfillment. Configure the EC2 instances to poll their respective queue. Create a metric based on a backlog per instance calculation. Scale the Auto Scaling groups based on this metric.
A solutions architect needs to design a highly available application consisting of web, application, and database tiers. HTTPS content delivery should be as close to the edge as possible, with the least delivery time.
Which solution meets these requirements and is MOST secure?
A. Configure a public Application Load Balancer (ALB) with multiple redundant Amazon EC2 instances in public subnets. Configure Amazon CloudFront to deliver HTTPS content using the public ALB as the origin.
B. Configure a public Application Load Balancer with multiple redundant Amazon EC2 instances in private subnets. Configure Amazon CloudFront to deliver HTTPS content using the EC2 instances as the origin.
C. Configure a public Application Load Balancer (ALB) with multiple redundant Amazon EC2 instances in private subnets. Configure Amazon CloudFront to deliver HTTPS content using the public ALB as the origin.
D. Configure a public Application Load Balancer with multiple redundant Amazon EC2 instances in public subnets. Configure Amazon CloudFront to deliver HTTPS content using the EC2 instances as the origin.
A solutions architect is creating a new VPC design There are two public subnets for the load balancer, two private subnets for web servers and two private subnets for MySQL The web servers use only HTTPS The solutions architect has already created a security group tor the load balancer allowing port 443 from 0 0 0 0/0 Company policy requires that each resource has the teas! access required to still be able to perform its tasks
Which additional configuration strategy should the solutions architect use to meet these requirements?
A. Create a security group for the web servers and allow port 443 from 0.0.0.0/0 Create a security group for the MySQL servers and allow port 3306 from the web servers security group
B. Create a network ACL for the web servers and allow port 443 from 0.0.0.0/0 Create a network ACL (or the MySQL servers and allow port 3306 from the web servers security group
C. Create a security group for the web servers and allow port 443 from the load balancer Create a security group for the MySQL servers and allow port 3306 from the web servers security group
D. Create a network ACL 'or the web servers and allow port 443 from the load balancer Create a network ACL for the MySQL servers and allow port 3306 from the web servers security group
A company recently migrated its web application to AWS by rehosting the application on Amazon EC2 instances in a single AWS Region. The company wants to redesign its application architecture to be highly available and fault tolerant. Traffic must reach all running EC2 instances randomly.
Which combination of steps should the company take to meet these requirements? (Choose two.)
A. Create an Amazon Route 53 failover routing policy.
B. Create an Amazon Route 53 weighted routing policy.
C. Create an Amazon Route 53 multivalue answer routing policy.
D. Launch three EC2 instances: two instances in one Availability Zone and one instance in another Availability Zone.
E. Launch four EC2 instances: two instances in one Availability Zone and two instances in another Availability Zone.
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