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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q245-Q250):

NEW QUESTION # 245
A company is using an AWS CodeBuild project to build and package an application. The packages are copied to a shared Amazon S3 bucket before being deployed across multiple AWS accounts.
The buildspec.yml file contains the following:

The DevOps Engineer has noticed that anybody with an AWS account is able to download the artifacts.
What steps should the DevOps Engineer take to stop this?

A. Modify the post_build command to remove ""-acl authenticated-read and configure a bucket policy that allows read access to the relevant AWS accounts only.
B. Configure a default ACL for the S3 bucket that defines the set of authenticated users as the relevant AWS accounts only and grants read-only access.
C. Modify the post_build to command to use ""-acl public-read and configure a bucket policy that grants read access to the relevant AWS accounts only.
D. Create an S3 bucket policy that grants read access to the relevant AWS accounts and denies read access to the principal "*"

Answer: D

NEW QUESTION # 246
You have an asynchronous processing application usingan Auto Scaling Group and an SQS Queue. The Auto Scaling Group scales according to the depth of the job queue. The completion velocity of the jobs has gone down, the Auto Scaling Group size has maxec out, but the inbound job velocity did not increase. What is a possible issue?

A. The scaling metric is not functioning correctly.
B. Some of the new jobs coming in are malformed and unprocessable.
C. Someone changed the 1AM Role Policy on the instances in the worker group and broke permissions to access the queue.
D. The routing tables changed and none of the workers can process events anymore.

Answer: B

Explanation:
Explanation
This question is more on the grounds of validating each option
Option B is invalid, because the Route table would have an effect on all worker processes and no jobs would have been completed.
Option C is invalid because if the 1AM Role was invalid then no jobs would be completed.
Option D is invalid because the scaling is happening, its just that the jobs are not getting completed.
For more information on Scaling on Demand, please visit the below URL:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-scale-based-on-demand.html

NEW QUESTION # 247
A business has an application that consists of five independent AWS Lambda functions.
The DevOps Engineer has built a CI/CD pipeline using AWS CodePipeline and AWS CodeBuild that builds, tests, packages, and deploys each Lambda function in sequence. The pipeline uses an Amazon CloudWatch Events rule to ensure the pipeline execution starts as quickly as possible after a change is made to the application source code.
After working with the pipeline for a few months, the DevOps Engineer has noticed the pipeline takes too long to complete.
What should the DevOps Engineer implement to BEST improve the speed of the pipeline?

A. Modify each CodeBuild project to run within a VPC and use dedicated instances to increase throughput.
B. Modify the CodePipeline configuration to execute actions for each Lambda function in parallel by specifying the same runOrder.
C. Create a custom CodeBuild execution environment that includes a symmetric multiprocessing configuration to run the builds in parallel.
D. Modify the CodeBuild projects within the pipeline to use a compute type with more available network throughput.

Answer: B

Explanation:
Explanation
https://aws.amazon.com/blogs/devops/using-aws-codepipeline-aws-codebuild-and-aws-lambda-for-serverless-au
https://docs.aws.amazon.com/codepipeline/latest/userguide/reference-pipeline-structure.html

NEW QUESTION # 248
You have an application consisting of a stateless web server tier running on Amazon EC2 instances behind load balancer, and are using Amazon RDS with read replicas. Which of the following methods should you use to implement a self-healing and cost-effective architecture? Choose 2 answers from the optionsgiven below

A. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the Amazon EC2 CPU utilization CloudWatch metric to scale the instances.
B. Set up a third-party monitoring solution on a cluster of Amazon EC2 instances in order to emit custom Cloud Watch metrics to trigger the termination of unhealthy Amazon EC2 instances.
C. Set up scripts on each Amazon EC2 instance to frequently send ICMP pings to the load balancer in order to determine which instance is unhealthy and replace it.
D. Use a larger Amazon EC2 instance type for the web server tier and a larger DB instance type for the data storage layer to ensure that they don't become unhealthy.
E. Set up an Auto Scalinggroup for the database tier along with an Auto Scaling policy that uses the Amazon RDS read replica lag CloudWatch metric to scale out the Amazon RDS read replicas.
F. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the Amazon RDS DB CPU utilization Cloud Watch metric to scale the instances.
G. Use an Amazon RDS Multi-AZ deployment.

Answer: A,G

Explanation:
Explanation
The scaling of CC2 Instances in the Autoscaling group is normally done with the metric of the CPU utilization of the current instances in the Autoscaling group For more information on scaling in your Autoscaling Group, please refer to the below link:
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/as-scaling-si mple-step.html
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Cach AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure, Amazon RDS performs an automatic failover to the standby (or to a read replica in the case of Amazon Aurora), so that you can resume database operations as soon as the failover is complete. For more information on RDS Multi-AZ please refer to the below link:
* https://aws.amazon.com/rds/details/multi-az/
Option A is invalid because if you already have in-built metrics from Cloudwatch, why would you want to spend more in using a a third-party monitoring solution.
Option B is invalid because health checks are already a feature of AWS CLB Option C is invalid because the database CPU usage should not be used to scale the web tier.
Option C is invalid because increasing the instance size does not always guarantee that the solution will not become unhealthy.
Option F is invalid because increasing Read-Replica's will not suffice for write operations if the primary DB fails.

NEW QUESTION # 249
A company runs an application on Amazon EC2 instances behind an Application Load Balancer.
The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones in us- east1. The application stores data in an Amazon RDS MySQL Multi-AZ DB instance. A DevOps Engineer wants to modify the current solution and create a hot standby of the environment in another region to minimize downtime if a problem occurs in us-east-1. Which combination of steps should the DevOps Engineer take to meet these requirements? (Select THREE.)

A. Enable multi-region failover for the RDS configuration for the database instance.
B. Deploy a read replica of the RDS instance in the disaster recovery region.
C. Extend the current Auto Scaling group to the subnets in the disaster recovery region.
D. Create an AWS Lambda function to evaluate the health of the primary region. If it fails, modify the Amazon Route 53 record to point at the disaster recovery region and elect the RDS master.
E. Create a new Application Load Balancer and Auto Scaling group in the disaster recovery region.
F. Add a health check to the Amazon Route 53 alias record to evaluate the health of the primary region.
Use AWS Lambda, configured with an Amazon CloudWatch Events trigger, to elect the Amazon RDS master in the disaster recovery region.

Answer: B,E,F

NEW QUESTION # 250
......

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