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NEW QUESTION 35
A company collects a steady stream of 10 million data records from 100,000 sources each day. These records are written to an Amazon RDS MySQL DB. A query must produce the daily average of a data source over the past 30 days. There are twice as many reads as writes. Queries to the collected data are for one source ID at a time.
How can the Solutions Architect improve the reliability and cost effectiveness of this solution?

• A. Use Amazon DynamoDB with the source ID as the partition key and the timestamp as the sort key. Use a Time to Live (TTL) to delete data after 30 days.
• B. Use Amazon DynamoDB with the source ID as the partition key. Use a different table each day.
• C. Use Amazon Aurora with MySQL in a Multi-AZ mode. Use four additional read replicas.
• D. Ingest data into Amazon Kinesis using a retention period of 30 days. Use AWS Lambda to write data records to Amazon ElastiCache for read access.

Answer: A

Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction.html

NEW QUESTION 36
A Solutions Architect is building a containerized NET Core application that will run in AWS Fargate The backend of the application requires Microsoft SQL Server with high availability All tiers of the application must be highly available The credentials used for the connection string to SQL Server should not be stored on disk within the .NET Core front-end containers.
Which strategies should the Solutions Architect use to meet these requirements'?

• A. Create a Multi-AZ deployment of SQL Server on Amazon RDS Create a secret in AWS Secrets Manager for the credentials to the RDS database Create non-persistent empty storage for the NET Core containers in the Fargate task definition to store the sensitive information Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to the RDS database in Secrets Manager Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be written to the non-persistent empty storage on startup for reading into the application to construct the connection string Set up the NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.
  https://aws.amazon.com/premiumsupport/knowledge-center/ecs-data-security-container-task/
• B. Set up SQL Server to run in Fargate with Service Auto Scaling. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to SQL Server running in Fargate Specify the ARN of the secret in AWS Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.
• C. Create a Multi-AZ deployment of SQL Server on Amazon RDS Create a secret in AWS Secrets Manager for the credentials to the RDS database Create an Amazon.
  ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to the RDS database in Secrets Manager Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string Set up the NET Core service in Fargate using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.
• D. Create an Auto Scaling group to run SQL Server on Amazon EC2 Create a secret in AWS Secrets Manager for the credentials to SQL Server running on EC2 Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to SQL Server on EC2 Specify the ARN of the secret m Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string Set up the NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.

Answer: C

NEW QUESTION 37
A company operates a group of imaging satellites. The satellites stream data to one of the company's ground stations where processing creates about 5 GB of images per minute. This data is added to network-attached storage, where 2 PB of data are already stored.
The company runs a website that allows its customers to access and purchase the images over the Internet.
This website is also running in the ground station. Usage analysis shows that customers are most likely to access images that have been captured in the last 24 hours.
The company would like to migrate the image storage and distribution system to AWS to reduce costs and increase the number of customers that can be served.
Which AWS architecture and migration strategy will meet these requirements?

• A. Use multiple Snowball appliances to migrate the existing images to Amazon S3. Upload new data by regularly using Snowball appliances to upload data from the network-attached storage. Migrate the data distribution website to EC2 instances. By using Amazon S3 as an origin, have this website serve the data through CloudFront by creating signed URLs.
• B. Use multiple Snowball appliances to migrate the existing images to an Amazon EFS file system. Create a 1-Gb Direct Connect connection from the ground station to AWS, and upload new data by mounting the EFS file system over the Direct Connect connection. Migrate the data distribution website to EC2 instances. By using webservers in EC2 that mount the EFS file system as the origin, have this website serve the data through CloudFront by creating signed URLs.
• C. Create a 1-Gb Direct Connect connection from the ground station to AWS. Use the AWS Command Line Interface to copy the existing data and upload new data to Amazon S3 over the Direct Connect connection. Migrate the data distribution website to EC2 instances. By using Amazon S3 as an origin, have this website serve the data through CloudFront by creating signed URLs.
• D. Use multiple AWS Snowball appliances to migrate the existing imagery to Amazon S3. Create a 1-Gb AWS Direct Connect connection from the ground station to AWS, and upload new data to Amazon S3 through the Direct Connect connection. Migrate the data distribution website to Amazon EC2 instances.
  By using Amazon S3 as an origin, have this website serve the data through Amazon CloudFront by creating signed URLs.

Answer: D

Explanation:
Explanation
The company would like to migrate the image storage and distribution system to AWS to reduce costs and increase the number of customers that can be served. So all storage has to be migrated. Aws rule is that any data transfer which will take over a week over link. Use Snowball.

NEW QUESTION 38
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