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NEW QUESTION 45
A company has a legacy application that process data in two parts. The second part of the process takes longer than the first, so the company has decided to rewrite the application as two microservices running on Amazon ECS that can scale independently.
How should a solutions architect integrate the microservices?

• A. Implement code in microservice 1 to send data to an Amazon S3 bucket. Use S3 event notifications to invoke microservice 2.
• B. Implement code in microservice 1 to send data to an Amazon SQS queue. Implement code in microservice
  2 to process messages from the queue.
• C. Implement code in microservice 1 to publish data to an Amazon SNS topic. Implement code in microservice
  2 to subscribe to this topic.
• D. Implement code in microservice 1 to send data to Amazon Kinesis Data Firehose. Implement code in microservice 2 to read from Kinesis Data Firehose.

Answer: D

NEW QUESTION 46
In Amazon Redshift, how many slices does a dw2.8xlarge node have?

• A. 0
• B. 1
• C. 2
• D. 3

Answer: B

Explanation:
The disk storage for a compute node in Amazon Redshift is divided into a number of slices, equal to the number of processor cores on the node. For example, each DW1.XL compute node has two slices, and each DW2.8XL compute node has 32 slices.
http://docs.aws.amazon.com/redshift/latest/dg/t_Distributing_data.html

NEW QUESTION 47
A company has an internal application running on AWS that is used to track and process shipments in the company's warehouse. Currently, after the system receives an order, it emails the staff the information needed to ship a package. Once the package is shipped, the staff replies to the email and the order is marked as shipped.
The company wants to stop using email in the application and move to a serverless application model.
Which architecture solution meets these requirements?

• A. Use AWS Batch to configure the different tasks required lo ship a package. Have AWS Batch trigger an AWS Lambda function that creates and prints a shipping label. Once that label is scanned. as it leaves the warehouse, have another Lambda function move the process to the next step in the AWS Batch job.B.
• B. Update the application to store new order information in Amazon DynamoDB. When a new order is created, trigger an AWS Step Functions workflow, mark the orders as "in progress," and print a package label to the warehouse. Once the label has been scanned and fulfilled, the application will trigger an AWS Lambda function that will mark the order as shipped and complete the workflow.
• C. When a new order is created, store the order information in Amazon SQS. Have AWS Lambda check the queue every 5 minutes and process any needed work. When an order needs to be shipped, have Lambda print the label in the warehouse. Once the label has been scanned, as it leaves the warehouse, have an Amazon EC2 instance update Amazon SOS.
• D. Store new order information in Amazon EFS. Have instances pull the new information from the NFS and send that information to printers in the warehouse. Once the label has been scanned, as it leaves the warehouse, have Amazon API Gateway call the instances to remove the order information from Amazon EFS.

Answer: B

NEW QUESTION 48
A company that tracks medical devices in hospitals wants to migrate its existing storage solution to the AWS Cloud. The company equips all of its devices with sensors that collect location and usage information. This sensor data is sent in unpredictable patterns with large spikes. The data is stored in a MySQL database running on premises at each hospital. The company wants the cloud storage solution to scale with usage.
The company's analytics team uses the sensor data to calculate usage by device type and hospital. The team needs to keep analysis tools running locally while fetching data from the cloud. The team also needs to use existing Java application and SQL queries with as few changes as possible.
How should a solutions architect meet these requirements while ensuring the sensor data is secure?

• A. Store the data in an Amazon Aurora Serverless database. Serve the data through a Network Load Balancer (NLB). Authenticate users using the NLB with credentials stored in AWS Secrets Manager.
• B. Store the data in an Amazon S3 bucket. Serve the data through Amazon QuickSight using an IAM user authorized with AWS Identity and Access Management (IAM) with the S3 bucket as the data source.
• C. Store the data in an Amazon S3 bucket. Serve the data through Amazon Athena using AWS PrivateLink to secure the data in transit.
• D. Store the data in an Amazon Aurora Serverless database. Serve the data through the Aurora Data API using an IAM user authorized with AWS Identity and Access Management (IAM) and the AWS Secrets Manager ARN.

Answer: D

Explanation:
Explanation
https://aws.amazon.com/blogs/aws/new-data-api-for-amazon-aurora-serverless/
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/data-api.html
https://aws.amazon.com/blogs/aws/aws-privatelink-for-amazon-s3-now-available/
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/data-api.html#data-api.access The data is currently stored in a MySQL database running on-prem. Storing MySQL data in S3 doesn't sound good so B & D are out. Aurora Data API "enables the SQL HTTP endpoint, a connectionless Web Service API for running SQL queries against this database. When the SQL HTTP endpoint is enabled, you can also query your database from inside the RDS console (these features are free to use)."

NEW QUESTION 49
A retail company runs a business-critical web service on an Amazon Elastic Container Service (Amazon ECS) cluster that runs on Amazon EC2 instances The web service receives POST requests from end users and writes data to a MySQL database that runs on a separate EC2 instance The company needs to ensure that data loss does not occur.
The current code deployment process includes manual updates of the ECS service During a recent deployment, end users encountered intermittent 502 Bad Gateway errors in response to valid web requests The company wants to implement a reliable solution to prevent this issue from recurring. The company also wants to automate code deployments. The solution must be highly available and must optimize cost-effectiveness Which combination of steps will meet these requirements? (Select THREE.)

• A. Configure an Amazon Simple Queue Service (Amazon SQS) queue as an event source to receive the POST requests from the web service Configure an AWS Lambda function to poll the queue Write the data to the database.
• B. Run the web service on an ECS cluster that has a Fargate launch type Use AWS CodePipeline and AWS CodeDeploy to perform a canary deployment to update the ECS service.
• C. Run the web service on an ECS cluster that has a Fargate launch type Use AWS CodePipeline and AWS CodeDeploy to perform a blue/green deployment with validation testing to update the ECS service.
• D. Migrate the MySQL database to run on an Amazon RDS for MySQL Multi-AZ DB instance that uses Provisioned IOPS SSD (io2) storage

Answer: A,B

NEW QUESTION 50
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