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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q238-Q243):
NEW QUESTION # 238
You are using CloudFormation to launch an EC2 instance and then configure an application after the instance is launched. You need the stack creation of the ELB and Auto Scaling to wait until the EC2 instance is launched and configured properly. How do you do this?
- A. Use the WaitCondition resource to hold the creation of the other dependent resources
- B. Use the HoldCondition resource to hold the creation of the other dependent resources
- C. Use a CreationPolicy to wait for the creation of the other dependent resources >/
- D. It is not possible for the stack creation to wait until one service is created and launched
Answer: C
Explanation:
Explanation
When you provision an Amazon EC2 instance in an AWS Cloud Formation stack, you might specify additional actions to configure the instance, such as install software packages or bootstrap applications. Normally, CloudFormation proceeds with stack creation after the instance has been successfully created. However, you can use a Creation Pol icy so that CloudFormation proceeds with stack creation only after your configuration actions are done. That way you'll know your applications are ready to go after stack creation succeeds.
A Creation Policy instructs CloudFormation to wait on an instance until CloudFormation receives the specified number of signals Option A is invalid because this is possible Option B is invalid because this is used make AWS CloudFormation pause the creation of a stack and wait for a signal before it continues to create the stack For more information on this, please visit the below URL:
* https://aws.amazon.com/blogs/devops/use-a-creationpolicy-to-wait-for-on-instance-configurations/
NEW QUESTION # 239
You need to grant a vendor access to your AWS account. They need to be able to read protected messages in a private S3 bucket at their leisure. They also use AWS. What is the best way to accomplish this?
- A. Create a cross-account IAM Role with permission to access the bucket, and grant permission to use the Role to the vendor AWS account.
- B. Create an IAM User with API Access Keys. Grant the User permissions to access the bucket.
Give the vendor the AWS Access Key ID and AWS Secret Access Key for the User. - C. Create an EC2 Instance Profile on your account. Grant the associated IAM role full access to the bucket. Start an EC2 instance with this Profile and give SSH access to the instance to the vendor.
- D. Generate a signed S3 PUT URL and a signed S3 PUT URL, both with wildcard values and 2 year durations. Pass the URLs to the vendor.
Answer: A
Explanation:
When third parties require access to your organization's AWS resources, you can use roles to delegate access to them. For example, a third party might provide a service for managing your AWS resources. With IAM roles, you can grant these third parties access to your AWS resources without sharing your AWS security credentials. Instead, the third party can access your AWS resources by assuming a role that you create in your AWS account.
http://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_common-scenarios_third-party.html
NEW QUESTION # 240
You have an Auto Scaling group with 2 AZs. One AZ has 4 EC2 instances and the other has 3 EC2 instances.
None of the instances are protected from scale in. Based on the default Auto Scaling termination policy what
will happen?
- A. Auto Scaling selects an instance to terminate randomly
- B. Auto Scaling terminates which unprotected instances are closest to the next billing hour.
- C. Auto Scaling will select the AZ with 4 EC2 instances and terminate an instance.
- D. Auto Scaling will terminate unprotected instances in the Availability Zone with the oldest launch
configuration.
Answer: C
Explanation:
Explanation
The default termination policy is designed to help ensure that your network architecture spans Availability
Zones evenly. When using the default termination policy.
Auto Scaling selects an instance to terminate as follows:
Auto Scaling determines whether there are instances in multiple Availability Zones. If so, it selects the
Availability Zone with the most instances and at least one instance that is not protected from scale in. If there
is more than one Availability Zone with this number of instances. Auto Scaling selects the Availability Zone
with the instances that use the oldest launch configuration. For more information on Autoscaling instance
termination please refer to the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-instance-termi
nation.html
NEW QUESTION # 241
A company has developed a Node.js web application which provides REST services to store and retrieve time series data. The web application is built by the Development team on company laptops, tested locally, and manually deployed to a single on-premises server, which accesses a local MySQL database. The company is starting a trial in two weeks, during which the application will undergo frequent updates based on customer feedback. The following requirements must be met:
*The team must be able to reliably build, test, and deploy new updates on a daily basis, without downtime or degraded performance.
*The application must be able to scale to meet an unpredictable number of concurrent users during the trial.
Which action will allow the team to quickly meet these objectives?
- A. Configure AWS Elastic Beanstalk to automatically build the application using AWS CodeBuild and to deploy it to a test environment that is configured to support auto scaling. Create a second Elastic Beanstalk environment for production. Use Amazon RDS to store data. When new versions of the applications have passed all tests, use Elastic Beanstalk "~swap cname' to promote the test environment to production.
- B. Create two Amazon Lightsail virtual private servers for Node.js; one for test and one for production.
Build the Node.js application using existing process and upload it to the new Lightsail test server using the AWS CLI. Test the application, and if it passes all tests, upload it to the production server. During the trial, monitor the production server usage, and if needed, increase performance by upgrading the instance type. - C. Develop an AWS CloudFormation template to create an Application Load Balancer and two Amazon EC2 instances with Amazon EBS (SSD) volumes in an Auto Scaling group with rolling updates enabled. Use AWS CodeBuild to build and test the Node.js application and store it in an Amazon S3 bucket. Use user- data scripts to install the application and the MySQL database on each EC2 instance.
Update the stack to deploy new application versions. - D. Modify the application to use Amazon DynamoDB instead of a local MySQL database. Use AWS OpsWorks to create a stack for the application with a DynamoDB layer, an Application Load Balancer layer, and an Amazon EC2 instance layer. Use a Chef recipe to build the application and a Chef recipe to deploy the application to the EC2 instance layer. Use custom health checks to run unit tests on each instance with rollback on failure.
Answer: A
NEW QUESTION # 242
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?
- A. DynamoDB table with 100x higher read than write throughput, with CloudFront caching.
- B. DynamoDB table with roughly equal read and write throughput, with CloudFront caching.
- C. DynamoDB table with roughly equal read and write throughput, with ElastiCache caching.
- D. DynamoDB table with 100x higher read than write throughput, with ElastiCache caching.
Answer: C
Explanation:
Explanation
Because the lOOx read ratio is mostly driven by a small subset, with caching, only a roughly equal number of reads to writes will miss the cache, since the supermajority will hit the top 1% scores. Knowing we need to set the values roughly equal when using caching, we select AWS OastiCache, because CloudFront cannot directly cache DynamoDB queries, and OastiCache is an excellent in-memory cache for database queries, rather than a distributed proxy cache for content delivery.
For more information on DynamoDB table gudelines please refer to the below link:
* http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GuidelinesForTables.html
NEW QUESTION # 243
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