A company is hosting a critical application on a single Amazon EC2 instance. The application uses an Amazon ElastiCache for Redis single-node cluster for an in-memory data store. The application uses an Amazon RDS for MariaDB DB instance for a relational database. For the application to function, each piece of the infrastructure must be healthy and must be in an active state.
A solutions architect needs to improve the application's architecture so that the infrastructure can automatically recover from failure with the least possible downtime.
Which combination of steps will meet these requirements? (Select THREE.)
A. Use an Elastic Load Balancer to distribute traffic across multiple EC2 instances. Ensure that the EC2 instances are part of an Auto Scaling group that has a minimum capacity of two instances.
B. Use an Elastic Load Balancer to distribute traffic across multiple EC2 instances Ensure that the EC2 instances are configured in unlimited mode.
C. Modify the DB instance to create a read replica in the same Availability Zone. Promote the read replica to be the primary DB instance in failure scenarios.
D. Modify the DB instance to create a Multi-AZ deployment that extends across two Availability Zones.
E. Create a replication group for the ElastiCache for Redis cluster. Configure the cluster to use an Auto Scaling group that has a minimum capacity of two instances.
F. Create a replication group for the ElastiCache for Redis cluster. Enable Multi-AZ on the cluster.
A company has loT sensors that monitor traffic patterns throughout a large city. The company wants to read and collect data from the sensors and perform aggregations on the data.
A solutions architect designs a solution in which the loT devices are streaming to Amazon Kinesis Data Streams. Several applications are reading from the stream. However, several consumers are experiencing throttling and are periodically encountering a ReadProvisionedThroughputExceeded error.
Which actions should the solutions architect take to resolve this issue? (Select THREE.)
A. Reshard the stream to increase the number of shards in the stream.
B. Use the Kinesis Producer Library (KPL). Adjust the polling frequency.
C. Use consumers with the enhanced fan-out feature.
D. Reshard the stream to reduce the number of shards in the stream.
E. Use an error retry and exponential backoff mechanism in the consumer logic.
F. Configure the stream to use dynamic partitioning.
A media storage application uploads user photos to Amazon S3 for processing by AWS Lambda functions. Application state is stored in Amazon DynamoDB tables. Users are reporting that some uploaded photos are not being processed properly. The application developers trace the logs and find that Lambda is experiencing photo processing issues when thousands of users upload photos simultaneously. The issues are the result of Lambda concurrency limits and the performance of DynamoDB when data is saved.
Which combination of actions should a solutions architect take to increase the performance and reliability of the application? (Select TWO.)
A. Evaluate and adjust the RCUs tor the DynamoDB tables.
B. Evaluate and adjust the WCUs for the DynamoDB tables.
C. Add an Amazon ElastiCache layer to increase the performance of Lambda functions.
D. Add an Amazon Simple Queue Service (Amazon SQS) queue and reprocessing logic between Amazon S3 and the Lambda functions.
E. Use S3 Transfer Acceleration to provide lower latency to users.
A company has an on-premises Microsoft SQL Server database that writes a nightly 200 GB export to a local drive. The company wants to move the backups to more robust cloud storage on Amazon S3. The company has set up a 10 Gbps AWS Direct Connect connection between the on-premises data center and AWS. Which solution meets these requirements Most cost effectively?
A. Create a new S3 bucket Deploy an AWS Storage Gateway file gateway within the VPC that is connected to the Direct Connect connection. Create a new SMB file share. Write nightly database exports to the new SMB file share.
B. Create an Amzon FSx for Windows File Server Single-AZ file system within the VPC that is connected to the Direct Connect connection. Create a new SMB file share. Write nightly database exports to an SMB file share on the Amazon FSx file system Enable backups.
C. Create an Amazon FSx for Windows File Server Multi-AZ system within the VPC that is connected to the Direct Connect connection. Create a new SMB file share. Write nightly database exports to an SMB file share on the Amazon FSx file system. Enable nightly backups.
D. Create a new S3 buckets. Deploy an AWS Storage Gateway volume gateway within the VPC that is connected to the Direct Connect connection. Create a new SMB file share. Write nightly database exports to the new SMB file share on the volume gateway, and automate copies of this data to an S3 bucket.
A company is running an application in the AWS Cloud. The application uses AWS Lambda functions and Amazon Elastic Container Service (Amazon ECS) containers that run with AWS Fargate technology as its primary compute. The load on the application is irregular. The application experiences long periods of no usage, followed by sudden and significant increases and decreases in traffic. The application is write-heavy and stores data in an Amazon Aurora MySQL database. The database runs on an Amazon RDS memory optimized D8 instance that is not able to handle the load.
What is the MOST cost-effective way for the company to handle the sudden and significant changes in traffic?
A. Add additional read replicas to the database. Purchase Instance Savings Plans and RDS Reserved Instances.
B. Migrate the database to an Aurora multi-master DB cluster. Purchase Instance Savings Plans.
C. Migrate the database to an Aurora global database Purchase Compute Savings Plans and RDS Reserved Instances
D. Migrate the database to Aurora Serverless v1. Purchase Compute Savings Plans
A company's solutions architect is reviewing a web application that runs on AWS. The application references static assets in an Amazon S3 bucket in the us-east-1 Region. The company needs resiliency across multiple AWS Regions. The company already has created an S3 bucket in a second Region.
Which solution will meet these requirements with the LEAST operational overhead?
A. Configure the application to write each object to both S3 buckets. Set up an Amazon Route 53 public hosted zone with a record set by using a weighted routing policy for each S3 bucket. Configure the application to reference the objects by using the Route 53 DNS name.
B. Create an AWS Lambda function to copy objects from the S3 bucket in us-east-1 to the S3 bucket in the second Region. Invoke the Lambda function each time an object is written to the S3 bucket in useast-1. Set up an Amazon CloudFront distribution with an origin group that contains the two S3 buckets as origins.
C. Configure replication on the S3 bucket in us-east-1 to replicate objects to the S3 bucket in the second Region Set up an Amazon CloudFront distribution with an origin group that contains the two S3 buckets as origins.
D. Configure replication on the S3 bucket in us-east-1 to replicate objects to the S3 bucket in the second Region. If failover is required, update the application code to load S3 objects from the S3 bucket in the second Region.
A company processes environmental data. The company has set up sensors to provide a continuous
stream of data from different areas in a city. The data is available in JSON format.
The company wants to use an AWS solution to send the data to a database that does not require fixed
schemas for storage. The data must be sent in real time.
Which solution will meet these requirements?
A. Use Amazon Kinesis Data Firehose to send the data to Amazon Redshift.
B. Use Amazon Kinesis Data Streams to send the data to Amazon DynamoDB
C. Use Amazon Managed Streaming for Apache Kafka {Amazon MSK) to send the data to Amazon Aurora.
D. Use Amazon Kinesis Data Firehose to send the data to Amazon Keyspaces (for Apache Cassandra).
A company is running a three-tier web application in an on-premises data center. The frontend is served by an Apache web server, the middle tier is a monolithic Java application, and the storage tier is a PostgreSOL database.
During a recent marketing promotion, customers could not place orders through the application because the application crashed An analysis showed that all three tiers were overloaded. The application became unresponsive, and the database reached its capacity limit because of read operations. The company already has several similar promotions scheduled in the near future.
A solutions architect must develop a plan for migration to AWS to resolve these issues. The solution must maximize scalability and must minimize operational effort.
Which combination of steps will meet these requirements? (Select THREE.)
A. Refactor the frontend so that static assets can be hosted on Amazon S3. Use Amazon CloudFront to serve the frontend to customers. Connect the frontend to the Java application.
B. Rehost the Apache web server of the frontend on Amazon EC2 instances that are in an Auto Scaling group. Use a load balancer in front of the Auto Scaling group. Use Amazon Elastic File System (Amazon EFS) to host the static assets that the Apache web server needs.
C. Rehost the Java application in an AWS Elastic Beanstalk environment that includes auto scaling.
D. Refactor the Java application. Develop a Docker container to run the Java application. Use AWS Fargate to host the container.
E. Use AWS Database Migration Service (AWS DMS) to replatform the PostgreSQL database to an Amazon Aurora PostgreSQL database. Use Aurora Auto Scaling for read replicas.
F. Rehost the PostgreSQL database on an Amazon EC2 instance that has twice as much memory as the on-premises server.
A company runs many workloads on AWS and uses AWS Organizations to manage its accounts. The workloads are hosted on Amazon EC2, AWS Fargate, and AWS Lambda. Some of the workloads have unpredictable demand. Accounts record high usage in some months and low usage in other months.
The company wants to optimize its compute costs over the next 3 years. A solutions architect obtains a 6month average for each of the accounts across the organization to calculate usage.
Which solution will provide the MOST cost savings for all the organization's compute usage?
A. Purchase Reserved Instances for the organization to match the size and number of the most common EC2 instances from the member accounts.
B. Purchase a Compute Savings Plan for the organization from the management account by using the recommendation at the management account level.
C. Purchase Reserved Instances for each member account that had high EC2 usage according to the data from the last 6 months.
D. Purchase an EC2 Instance Savings Plan for each member account from the management account based on EC2 usage data from the last 6 months.
A company implements a containerized application by using Amazon Elastic Container Service (Amazon ECS) and Amazon API Gateway. The application data is stored in Amazon Aurora databases and Amazon DynamoDB databases. The company automates infrastructure provisioning by using AWS CloudFormalion. The company automates application deployment by using AWS CodePipeline.
A solutions architect needs to implement a disaster recovery (DR) strategy that meets an RPO of 2 hours and an RTO of 4 hours.
Which solution will meet these requirements MOST cost-effectively?
A. Set up an Aurora global database and DynamoDB global tables to replicate the databases to a secondary AWS Region. In the primary Region and in the secondary Region, configure an API Gateway API with a Regional endpoint. Implement Amazon CloudFront with origin failover to route traffic to the secondary Region during a DR scenario.
B. Use AWS Database Migration Service (AWS DMS). Amazon EventBridge (Amazon CloudWatch Events), and AWS Lambda to replicate the Aurora databases to a secondary AWS Region. Use DynamoDB Streams. EventBridge (CloudWatch Events), and Lambda to replicate the DynamoDB databases to the secondary Region. In the primary Region and In the secondary Region, configure an API Gateway API with a Regional endpoint. Implement Amazon Route 53 failover routing to switch traffic from the primary Region to the secondary Region.
C. Use AWS Backup to create backups of the Aurora databases and the DynamoDB databases in a secondary AWS Region. In the primary Region and in the secondary Region, configure an API Gateway API with a Regional endpoint. Implement Amazon Route 53 failover routing to switch traffic from the primary Region to the secondary Region
D. Set up an Aurora global database and DynamoDB global tables to replicate the databases to a secondary AWS Region. In the primary Region and in the secondary Region, configure an API Gateway API with a Regional endpoint. Implement Amazon Route 53 failover routing to switch traffic from the primary Region to the secondary Region.
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