1. You work for a company that automatically tags photographs using artificial neural networks (ANNs), which run on GPUs using C++. You receive millions of images at a time, but only 3 times per day on average. These images are loaded into an AWS(Amazon Web Service) S3 bucket you control for you in a batch, and then the customer publishes a JSON-formatted manifest into another S3 bucket you control as well. Each image takes 10 milliseconds to process using a full GPU. Your neural network software requires 5 minutes to bootstrap. Image tags are JSON objects, and you must publish them to an 53 bucket. Which of these is the best system architectures for this system?

A) Create an Auto Scaling, Load Balanced Elastic Beanstalk worker tier Application and Environment. Deploy the artificial neural network code to G2 instances in this tier. Set the desired capacity to 1. Make the code periodically check 53 for new manifests. When a new manifest is detected, push all of the Images in the manifest into the SQS queue associated with the Elastic Beanstalk worker tier.
B) Make an S3 notification configuration which publishes to AWS(Amazon Web Service) Lambda on the manifest bucket. Make the Lambda create a Cloud Formation Stack which contains the logic to construct an autoscaling worker tier of EC2 G2 instances with the artificial neural network code on each instance. Create an SQS queue of the images in the manifest. Tear the stack down when the queue is empty.
C) Create an Ops Works Stack with two Layers. The first contains lifecycle scripts for launching and bootstrapping an HTTP API on G2 instances for image processing. and the second has an always-on instance which monitors the S3 manifest bucket for new files. When a new file Is detected. request instances to boot on the artificial neural network layer. When the instances are booted and the HTTP APIS are up. submit processing requests to individual instances.
D) Deploy your artificial neural network code to AWS(Amazon Web Service) Lambda as a bundled binary for the C++ extension. Make an S3 notification configuration on the manifest which publishes to another AWS(Amazon Web Service) Lambda running controller code. This controller code publishes all the images In the manifest to AWS(Amazon Web Service) Kinesis. Your ANN code Lambda Function uses the Kinesis as an Event Source. The system automatically scales when the stream contains image events



2. Your firm has uploaded a large amount of aerial image data to 53. In the past, in your onpremises environment, you used a dedicated group of servers to process this data and used Rabbit MQ - An open source messaging system to get job Information to the servers. Once processed the data would go to tape and be shipped offsite. Your manager told you to stay with the current design, and leverage AWS(Amazon Web Service) archival storage and messaging services to minimize cost. Which is correct?

A) Change the storage class of the 53 objects to Reduced Redundancy Storage. Setup Auto-Scaled workers triggered by queue depth that use spot Instances to process messages In SQS. Once data Is processed. change the storage class of the S3 objects to Glacier.
B) Use SNS to pass job messages use Cloud Watch alarms to terminate spot worker Instances when they become idle. Once data is processed. change the storage class of the S3 object to Glacier.
C) Use SQS for passing job messages. Use Cloud Watch alarms to terminate EC2 worker instances when they become idle. Once data is processed. change the storage class of the 53 objects to Reduced Redundancy Storage.
D) Setup Auto-Scaled workers triggered by queue depth that use spot instances to process messages in SQS. Once data is processed, change the storage class of the 53 objects to Glacier



3. A user is using Cloud formation to launch an EC2 instance and then configure an application after the instance is launched. The user wants the stack creation of ELB and Auto Scaling to wait until the EC2 instance is launched and configured properly. How can the user configure this?

A) The user can use the Hold Condition resource to wait for the creation of the other dependent resources
B) The user can use the Wait Condition resource to hold the creation of the other dependent resources
C) It is not possible that the stack creation will wait until one service Is created and launched
D) The user can use the Dependent Condition resource to hold the creation of the other dependent resources



4. You are in charge of designing a number of Cloud formation templates for your organization. You are required to make changes to the stack resources every now and then based on the requirement. How can you check the impact of the change to resources In a cloud formation stack before deploying changes to the stack?

A) There is no way to control this. You need to check for the impact beforehand.
B) Use Cloud formation Stack Policies to check for the impact to the changes.
C) Use Cloud formation Rolling Updates to check for the impact to the changes.
D) Use Cloud formation change sets to check for the impact to the changes.



5. You are working for a company has an on-premise infrastructure. There is now a decision to move to AWS. The plan is to move the development environment first. There are a lot of custom based applications that need to be deployed for the development community. Which of the following can help to implement the application for the development team?(Select 2answers)

A) Use Cloud formation to deploy the docker containers.
B) Use Elastic beanstalk to deploy the docker containers.
C) Use Ops Works to deploy the docker containers.
D) Create docker containers for the custom application components.