Amazon DOP-C02 Practice Questions - Page 35

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Question 341

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 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 S3 bucket. Which of these is the best system architectures for this system?

Create an OpsWorks Stack with two Layers. The first contains lifecycle scripts for launching and bootstrapping an HTTP API on G2 instances for ANN 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 ANN layer. When the instances are booted and the HTTP APIs are up, submit processing requests to individual instances.

Make an S3 notification configuration which publishes to AWS Lambda on the manifest bucket. Make the Lambda create a CloudFormation Stack which contains the logic to construct an autoscaling worker tier of EC2 G2 instances with the ANN code on each instance. Create an SQS queue of the images in the manifest. Tear the stack down when the queue is empty.

Deploy your ANN code to AWS Lambda as a bundled binary for the C++ extension. Make an S3 notification configuration on the manifest, which publishes to another AWS Lambda running controller code. This controller code publishes all the images in the manifest to AWS Kinesis. Your ANN code Lambda Function uses the Kinesis as an Event Source. The system automatically scales when the stream contains image events.

Create an Auto Scaling, Load Balanced Elastic Beanstalk worker tier Application and Environment. Deploy the ANN code to G2 instances in this tier. Set the desired capacity to 1. Make the code periodically check S3 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.

Question 342

You are designing a system which needs, at minumum, 8 m4.large instances operating to service traffic. When designing a system for high availability in the us- east-1 region, which has 6 Availability Zones, you company needs to be able to handle death of a full availability zone. How should you distribute the servers, to save as much cost as possible, assuming all of the EC2 nodes are properly linked to an ELB?

Your VPC account can utilize us-east-1's AZ's a through f, inclusive.

3 servers in each of AZ's a through d, inclusive.

8 servers in each of AZ's a and b.

2 servers in each of AZ's a through e, inclusive.

4 servers in each of AZ's a through c, inclusive.

Question 343

You need to create a Route53 record automatically in CloudFormation when not running in production during all launches of a Template.

How should you implement this?

Use a <code>Parameter</code> for <code>environment</code>, and add a <code>Condition</code> on the Route53 <code>Resource</code> in the template to create the record only when <code>environment</code> is not <code>production</code>.

Create two templates, one with the Route53 record value and one with a null value for the record. Use the one without it when deploying to production.

Use a <code>Parameter</code> for <code>environment</code>, and add a <code>Condition</code> on the Route53 <code>Resource</code> in the template to create the record with a null string when <code>environment</code> is <code>production</code>.

Create two templates, one with the Route53 record and one without it. Use the one without it when deploying to production.

Question 344

What is web identity federation?

Use of an identity provider like Google or Facebook to become an AWS IAM User.

Use of an identity provider like Google or Facebook to exchange for temporary AWS security credentials.

Use of AWS IAM User tokens to log in as a Google or Facebook user.

Use of AWS STS Tokens to log in as a Google or Facebook user.

Question 345

You have been asked to de-risk deployments at your company. Specifically, the CEO is concerned about outages that occur because of accidental inconsistencies between Staging and Production, which sometimes cause unexpected behaviors in Production even when Staging tests pass. You already use Docker to get high consistency between Staging and Production for the application environment on your EC2 instances.

How do you further de-risk the rest of the execution environment, since in AWS, there are many service components you may use beyond EC2 virtual machines?

Develop models of your entire cloud system in CloudFormation. Use this model in Staging and Production to achieve greater parity.

Use AWS Config to force the Staging and Production stacks to have configuration parity. Any differences will be detected for you so you are aware of risks.

Use AMIs to ensure the whole machine, including the kernel of the virual machines, is consistent, since Docker uses Linux Container (LXC) technology, and we need to make sure the container environment is consistent.

Use AWS ECS and Docker clustering. This will make sure that the AMIs and machine sizes are the same across both environments.

Question 346

You are creating a new API for video game scores. Reads are 100 times more common than writes, and the top 1% of scores are read 100 times more frequently than the rest of the scores.

What's the best design for this system, using DynamoDB?

DynamoDB table with 100x higher read than write throughput, with CloudFront caching.

DynamoDB table with roughly equal read and write throughput, with CloudFront caching.

DynamoDB table with 100x higher read than write throughput, with ElastiCache caching.

DynamoDB table with roughly equal read and write throughput, with ElastiCache caching.

Question 347

You were just hired as a DevOps Engineer for a startup. Your startup uses AWS for 100% of their infrastructure. They currently have no automation at all for deployment, and they have had many failures while trying to deploy to production. The company has told you deployment process risk mitigation is the most important thing now, and you have a lot of budget for tools and AWS resources. Their stack:

The scaling group properly varies between 4 and 12 EC2 servers.

Which of the following approaches, given this company's stack and their priorities, best meets the company's needs?

Model the stack in AWS Elastic Beanstalk as a single Application with multiple Environments. Use Elastic Beanstalk's Rolling Deploy option to progressively roll out application code changes when promoting across environments.

Model the stack in 3 CloudFormation templates: Data layer, compute layer, and networking layer. Write stack deployment and integration testing automation following Blue-Green methodologies.

Model the stack in AWS OpsWorks as a single Stack, with 1 compute layer and its associated ELB. Use Chef and App Deployments to automate Rolling Deployment.

Model the stack in 1 CloudFormation template, to ensure consistency and dependency graph resolution. Write deployment and integration testing automation following Rolling Deployment methodologies.

Question 348

What is the scope of an EBS snapshot?

Availability Zone

Placement Group

Region

VPC

Question 349

Your system uses a multi-master, multi-region DynamoDB configuration spanning two regions to achieve high availablity. For the first time since launching your system, one of the AWS Regions in which you operate over went down for 3 hours, and the failover worked correctly. However, after recovery, your users are experiencing strange bugs, in which users on different sides of the globe see different data.

What is a likely design issue that was not accounted for when launching?

The system does not have Lambda Functor Repair Automatons, to perform table scans and chack for corrupted partition blocks inside the Table in the recovered Region.

The system did not implement DynamoDB Table Defragmentation for restoring partition performance in the Region that experienced an outage, so data is served stale.

The system did not include repair logic and request replay buffering logic for post-failure, to resynchronize data to the Region that was unavailable for a number of hours.

The system did not use DynamoDB Consistent Read requests, so the requests in different areas are not utilizing consensus across Regions at runtime.

Question 350

There are a number of ways to purchase compute capacity on AWS. Which orders the price per compute or memory unit from LOW to HIGH (cheapest to most expensive), on average?

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