Amazon DOP-C02 Practice Questions - Page 34

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Question 331

You have a web application that is currently running on a collection of micro instance types in a single AZ behind a single load balancer. You have an Auto Scaling group configured to scale from 2 to 64 instances. When reviewing your CloudWatch metrics, you see that sometimes your Auto Scaling group is running 64 micro instances. The web application is reading and writing to a DynamoDB-configured backend and configured with 800 Write Capacity Units and 800 Read Capacity Units. Your customers are complaining that they are experiencing long load times when viewing your website. You have investigated the DynamoDB CloudWatch metrics; you are under the provisioned Read and write Capacity Units and there is no throttling.

How do you scale your service to improve the load times and ensure the principles of high availability?

Change your Auto Scaling group configuration to include multiple AZs.

Change your Auto Scaling group configuration to include multiple AZs, and increase the number of Read Capacity Units in your DynamoDB table by a factor of three, because you will need to be calling DynarnoDB from three AZs.

Add a second load balancer to your Auto Scaling group so that you can support more inbound connections per second.

Change your Auto Scaling group configuration to use larger instances and include multiple AZ's instead of one.

Question 332

Your social media marketing application has a component written in Ruby running on AWS Elastic Beanstalk. This application component posts messages to social media sites in support of various marketing campaigns. Your management now requires you to record replies to these social media messages to analyze the effectiveness of the marketing campaign in comparison to past and future efforts. You have already developed a new application component to interface with the social media site APIs in order to read the replies.

Which process should you use to record the social media replies in a durable data store that can be accessed at any time for analysis of historical data?

Deploy the new application component in an Auto Scaling group of Amazon Elastic Compute Cloud (EC2) Instances, read the data from the social media sites, store it with Amazon Elastic Block Store, and use AWS Data Pipeline to publish it to Amazon Kinesis for analytics.

Deploy the new application component as an Elastic Beanstalk application, read the data from the social media sites, store it in Amazon DynamoDB, and use Apache Hive with Amazon Elastic MapReduce for analytics.

Deploy the new application component in an Auto Scaling group of Amazon EC2 instances, read the data from the social media sites, store it in Amazon Glacier, and use AWS Data Pipeline to publish it to Amazon Redshift for analytics.

Deploy the new application component as an Amazon Elastic Beanstalk application, read the data from the social media site, store it with Amazon Elastic Block Store, and use Amazon Kinesis to stream the data to Amazon CloudWatch for analytics.

Question 333

A web application is being actively developed by multiple development teams within your organization. You have created a self-service portal-driven by AWS CloudFormation and the AWS APIs-that allows testers to select a code branch containing a new feature that they want to test. The portal will then provision an environment and deploy the right branch of code to it. Recently you have noticed that a large number of environments contain broken builds. You want to introduce a set of automated browser tests that are executed on a new environment before the environment is available to the tester. This way a tester does not waste time trying to test new features in a broken environment.

Select a suitable way to implement such a feature into the existing self-service portal:

Specify your automated tests in the "tests" section of the AWS CloudFormation template. AWS CloudFormation will then execute the tests on your behalf as part of the environment build.

Configure a centralized test server that hosts an automated browser testing framework. Use an AWS CloudFormation custom resource to notify the centralized test server, via an Amazon SNS topic, that a new environment has been initialized. The centralized test server can then execute the tests before sending the results back to the AWS CloudFormation service.

Pass the test scripts to the cfn-init service via the "tests" section of the AWS::CloudFormation::Init metadata. Cfn-init will then execute these tests and return the result to the AWS CloudFormation service.

Configure a centralized test server that hosts an automated browser testing framework. Include an Amazon SES email resource under the outputs section of your AWS CloudFormation template. This we send an email to your centralized test server, informing it that the environment is ready for tests.

Question 334

You have written a server-side Node.Js application and a web application with an HTML/JavaScript front end that uses the Angular.js framework. The server-side application connects to an Amazon Redshift cluster, issues queries, and then returns the results to the front end for display. Your user base is very large and distributed, but it is important to keep the cost of running this application low.

Which deployment strategy is both technically valid and the most cost-effective?

Deploy an AWS Elastic Beanstalk application with two environments: one for the Node.js application and another for the web front end. Launch an Amazon Redshift cluster, and point your application to its Java Database Connectivity (JDBC) endpoint.

Deploy an AWS OpsWorks stack with three layers: a static web server layer for your front end, a Node.js app server layer for your server-side application, and a Redshift DB layer for your Amazon Redshift duster.

Upload the HTML, CSS, images, and JavaScript for the front end to an Amazon Simple Storage Service (S3) bucket. Create an Amazon CloudFront distribution with this bucket as its origin. Use AWS Elastic Beanstalk to deploy the Node.js application. Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.

Upload the HTML, CSS, images, and JavaScript for the front end, plus the Node.js code for the server-side application, to an Amazon S3 bucket. Create a CloudFront distribution with this bucket as its origin. Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.

Upload the HTML, CSS, images, and JavaScript for the front end to an Amazon S3 bucket. Use AWS Elastic Beanstalk to deploy the Node.js application. Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.

Question 335

You are building an AWS CloudFormation template for a multi-tier web application. The user data of your Linux web server resource contains a complex script that can take a long time to run. Which techniques could you use to ensure that these servers are fully configured and running before attaching them to the load balancer? (Choose two.)

Select all that apply

Launch your Linux servers from a nested stack that is called from within the load balancer resource in your AWS CloudFormation template.

Add an AWS CloudFormation Wait Condition that depends on the web server resource. When the UserData script finishes on the web servers, use curl to send a signal the Wait Condition at http://169.254.169.254/waithandle/.

Add an AWS CloudFormation wait Condition that depends on the web server resource. When the UserData script finishes on the web servers, use curl to signal to the Wait Condition pre-signed URL that they are ready.

In your AWS CloudFormation template, position the load balancer resource JSON block directly below your Linux server resource.

Add an AWS CloudFormation Wait Condition that depends on the web server resource. When the UserData script finishes on the web servers, use the command "cfn-signal" to signal that they are ready.

Question 336

Customers have recently been complaining that your web application has randomly stopped responding. During a deep dive of your logs, the team has discovered a major bug in your new Java web application. This bug is causing a memory leak that eventually causes the application to crash. Your web application runs on Amazon EC2 and was built with AWS CloudFormation. Which techniques should you use to help detect these problems faster, as well as help eliminate the server's unresponsiveness? (Choose two.)

Select all that apply

Update your AWS CloudFormation configuration and enable a CustomResource that uses cfnsignal to detect memory leaks.

Update your CloudWatch metric granularity config for all Amazon EC2 memory metrics to support five- second granularity. Create a CloudWatch alarm that triggers an Amazon SNS notification to page your team when the application memory becomes too large.

Update your AWS CloudFormation configuration to take advantage of Auto Scaling groups. Configure an Auto Scaling group policy to trigger off your custom CloudWatch metrics.

Create a custom CloudWatch metric that you push your JVM memory usage to. Create a Cloudwatch alarm that triggers an Amazon SNS notification to page your team when the application memory usage becomes too large.

Update your AWS CloudFormation configuration to take advantage of CloudWatch metrics Agent. Configure the CloudWatch Metrics Agent to monitor memory usage and trigger an Amazon SNS alarm.

Question 337

You have an ASP.NET web application running in Amazon Elastic Beanstalk. Your next version of the application requires a third-party Windows Installer package to be installed on the instance on first boot and before the application launches.

Which options are possible? (Choose two.)

Select all that apply

In the application's Global.asax file, run msiexec.exe to install the package using Process.Start() in the Application Start event handler.

In the source bundle's .ebextensions folder, create a file with a .config extension. In the file, under the "packages" section and "msi" package manager, include the package's URL.

Launch a new Amazon EC2 instance from the AMI used by the environment. Log into the instance, install the package and run sysprep. Create a new AMI. Configure the environment to use the new AMI.

In the environment's configuration, edit the instances configuration and add the package's URL to the "Packages" section.

In the source bundle's .ebextensions folder, create a "Packages" folder. Place the package in the folder.

Question 338

For AWS Auto Scaling, what is the first transition state an instance enters after leaving steady state when scaling in due to health check failure or decreased load?

Terminating

Detaching

Terminating:Wait

EnteringStandby

Question 339

You are hired as the new head of operations for a SaaS company. Your CTO has asked you to make debugging any part of your entire operation simpler and as fast as possible. She complains that she has no idea what is going on in the complex, service-oriented architecture, because the developers just log to disk, and it's very hard to find errors in logs on so many services. How can you best meet this requirement and satisfy your CTO?

Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration on the <code>PutBucket</code> event and publish events to AWS Lambda. Use the Lambda to analyze logs as soon as they come in and flag issues.

Begin using CloudWatch Logs on every service. Stream all Log Groups into S3 objects. Use AWS EMR cluster jobs to perform ad-hoc MapReduce analysis and write new queries when needed.

Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration on the <code>PutBucket</code> event and publish events to AWS Kinesis. Use Apache Spark on AWS EMR to perform at-scale stream processing queries on the log chunks and flag issues.

Begin using CloudWatch Logs on every service. Stream all Log Groups into an AWS Elasticsearch Service Domain running Kibana 4 and perform log analysis on a search cluster.

Question 340

When thinking of AWS Elastic Beanstalk's model, which is true?

Applications have many deployments, deployments have many environments.

Environments have many applications, applications have many deployments.

Applications have many environments, environments have many deployments.

Deployments have many environments, environments have many applications.

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