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Talking about the exam content, it covers six broad domains, which include the following:

Infrastructure as Code and Configuration Management
This objective covers about 19% of the whole content. For this section, it is required that you understand all the needed concepts related to the deployment services that are based on deployment needs, infrastructure and app deployment models based on business needs, and the implementation of the lifecycle hooks on the deployment. This area also includes your knowledge of how to apply security concepts in the automation of resource provisioning and your ability to work with the concepts that are needed to manage systems with the use of AWS configuration management tools as well as services.
Response to Incidents and Events
This is the third largest area of the whole list of topics that covers 18% of the exam content. It is all about troubleshooting of the possible issues and determination of how to restore operations. It also includes the evaluation of your skills in applying different concepts that are required to implement automated healing or set up actions that are event-driven and automated. The knowledge of how to perform an automation process for alerting and event management is also essential.
Disaster Recovery, Fault Tolerance, and High Availability
The last section covers 16% of the exam questions, and you will need to possess certain skills. They include your knowledge of the right services based on business needs such as cost or RTO/RPO, your ability to design disaster recovery strategies and automate them, and skills in evaluating the deployment for points of failure. It is also important for you to know how to implement high fault tolerance, scalability, and availability. The usage of the right multi-region versus multi-AZ architectures is also vital.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q108-Q113):

NEW QUESTION # 108
You are doing a load testing exercise on your application hosted on AWS. While testing your Amazon RDS MySQL DB instance, you notice that when you hit 100% CPU utilization on it, your application becomes non- responsive. Your application is read-heavy. What are methods to scale your data tier to meet the application's needs? Choose three answers from the options given below

A. Use an Amazon SQS queue to throttle data going to the Amazon RDS DB instance.
B. Add your Amazon RDS DB instance to an Auto Scalinggroup and configure your Cloud Watch metric based on CPU utilization.
C. Use ElastiCache in front of your Amazon RDS DB to cache common queries.
D. Enable Multi-AZ for your Amazon RDS DB instance.
E. Shard your data set among multiple Amazon RDS DB instances.
F. Add Amazon RDS DB read replicas, and have your application direct read queries to them.

Answer: C,E,F

Explanation:
Explanation
Amazon RDS Read Replicas provide enhanced performance and durability for database (DB) instances. This replication feature makes it easy to elastically scale out beyond the capacity constraints of a single DB Instance for read-heavy database workloads. You can create one or more replicas of a given source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput For more information on Read Replica's please refer to the below link:
https://aws.amazon.com/rds/details/read-replicas/
Sharding is a common concept to split data across multiple tables in a database For more information on sharding please refer to the below link:
* https://forums.awsa mazon.com/thread jspa?messagelD=203052
Amazon OastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory data store or cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory data stores, instead of relying entirely on slower disk-based databases Amazon OastiCache is an in-memory key/value store that sits between ycbetappiicipiJGra arcdalie data store (database) that it accesses. Whenever your application requests data, it first makes the request to the DastiCache cache. If the data exists in the cache and is current, OastiCache returns the data to your application. If the data does not exist in the cache, or the data in the cache has expired, your application requests the data from your data store which returns the data to your application. Your application then writes the data received from the store to the cache so it can be more quickly retrieved next time it is requested. For more information on Elastic Cache please refer to the below link:
* https://aws.amazon.com/elasticache/
Option B is not an ideal way to scale a database
Option C is not ideal to store the data which would go into a database because of the message size Option F is invalid because Multi-AZ feature is only a failover option

NEW QUESTION # 109
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 will select the AZ with 4 EC2 instances and terminate an instance.
B. Auto Scaling will terminate unprotected instances in the Availability Zone with the oldest launch configuration.
C. Auto Scaling selects an instance to terminate randomly
D. Auto Scaling terminates which unprotected instances are closest to the next billing hour.

Answer: A

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-termination.html

NEW QUESTION # 110
You work at a company that makes use of AWS resources. One of the key security policies is to ensure that all
data is encrypted both at rest and in transit. Which of the following is not a right implementation which aligns
to this policy?

A. Enable SSLtermination on the ELB
C EnablingProxy Protocol
D- Enablingsticky sessions on your load balancer
B. UsingS3 Server Side Encryption (SSE) to store the information

Answer: A

Explanation:
Explanation
Please note the keyword "NOT" in the question.
Option A is incorrect. Enabling S3 SSE encryption helps the encryption of data at rest in S3.So Option A is
invalid.
Option B is correct. If you disable SSL termination on the ELB the traffic will be encrypted all the way to the
backend. SSL termination allows encrypted traffic between the client
and the ELB but cause traffic to be unencrypted between the ELB and the backend (presumably EC2 or
ECS/Task, etc.)
If SSL is not terminated on the ELB you must use Layer A to have traffic encrypted all the way.
Sticky sessions are not supported with Layer A (TCP endpoint). Thus option D" Enabling sticky sessions on
your load balancer" can't be used and is the right answer
For more information on sticky sessions, please visit the below URL
https://docs.aws.amazon.com/elasticloadbalancing/latest/classic/elb-sticky-sessions.html
Requirements
* An HTTP/HTTPS load balancer.
* At least one healthy instance in each Availability Zone.
* At least one healthy instance in each Availability Zone.
If you don't want the load balancer to handle the SSL termination (known as SSL offloading), you can use
TCP for both the front-end and back-end connections, and deploy certificates on the registered instances
handling requests.
For more information on elb-listener-config, please visit the below
* https://docs.awsamazon.com/elasticloadbalancing/latest/classic/elb-listener-config.html If the front-end
connection uses TCP or SSL, then your back-end connections can use either TCP or SSL.
Note: You can use an HTTPS listener and still use SSL on the backend but the ELB must terminate, decrypt
and re-encrypt. This is slower and less secure then using the same encryption all the way to the backend.. It
also breaks the question requirement of having all data encrypted in transit since it force the ELB to decrypt
Proxy protocol is used to provide a secure transport connection hence Option C is also incorrect. For more
information on SSL Listeners for your load balancer, please visit the below URL
* http://docsaws.amazon.com/elasticloadbalancing/latest/classic/elb-https-load-balancers.html
* https://aws.amazon.com/blogs/aws/elastic-load-balancer-support-for-ssl-termination/

NEW QUESTION # 111
You are working for a startup company that is building an application that receives large amounts of data.
Unfortunately, current funding has left the start-up short on cash, cannot afford to purchase thousands of
dollars of storage hardware, and has opted to use AWS. Which services would you implement in order to store
a virtually unlimited amount of data without any effort to scale when demand unexpectedly increases? Choose
the correct answer from the options below

A. AmazonS3, because it provides unlimited amounts of storage data, scales automatically highly available,
and durable
B. AmazonEC2, because EBS volumes can scale to hold any amount of data and, when usedwith Auto
Scaling, can be designed for fault tolerance and high availability
C. Amazonlmport/Export, because Amazon assists in migrating large amounts of data toAmazon S3
D. AmazonGlacier, to keep costs low for storage and scale infinitely

Answer: A

Explanation:
Explanation
The best option is to use S3 because you can host a large amount of data in S3 and is the best storage option
provided by AWS.
For more information on S3, please refer to the below link:
* http://docs.aws.a
mazon.com/AmazonS3/latest/dev/We lcome.htm I

NEW QUESTION # 112
You have a code repository that uses Amazon S3 as a data store. During a recent audit of your security controls, some concerns were raised about maintaining the integrity of the data in the Amazon S3 bucket.
Another concern was raised around securely deploying code from Amazon S3 to applications running on Amazon EC2 in a virtual private cloud. What are some measures that you can implement to mitigate these concerns? Choose two answers from the options given below.

A. Use AWS Data Pipeline to lifecycle the data in your Amazon S3 bucket to Amazon Glacier on a weekly basis.
B. Create an Amazon Identity and Access Management role with authorization to access the Amazon S3 bucket, and launch all of your application's Amazon EC2 instances with this role.
C. Use a configuration management service to deploy AWS Identity and Access Management user credentials to the Amazon EC2 instances. Use these credentials to securely access the Amazon S3 bucket when deploying code.
D. Use AWS Data Pipeline with multi-factor authentication to securely deploy code from the Amazon S3 bucket to your Amazon EC2 instances.
E. Add an Amazon S3 bucket policy with a condition statement to allow access only from Amazon EC2 instances with RFC 1918 IP addresses and enable bucket versioning.
F. Add an Amazon S3 bucket policy with a condition statement that requires multi-factor authentication in order to delete objects and enable bucket versioning.

Answer: B,F

Explanation:
Explanation
You can add another layer of protection by enabling MFA Delete on a versioned bucket. Once you do so, you must provide your AWS account's access keys and a valid code from the account's MFA device in order to permanently delete an object version or suspend or reactivate versioning on the bucket.
For more information on MFA please refer to the below link:
* https://aws.amazon.com/blogs/security/securing-access-to-aws-using-mfa-part-3/ IAM roles are designed so that your applications can securely make API requests from your instances, without requiring you to manage the security credentials that the applications use. Instead of creating and distributing your AWS credentials, you can delegate permission to make API requests using 1AM roles For more information on Roles for CC2 please refer to the below link:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/iam-roles-for-amazon-ec2.htmI
Option A is invalid because this will not address either the integrity or security concern completely.
Option C is invalid because user credentials should never be used in CC2 instances to access AWS resources.
Option C and F are invalid because AWS Pipeline is an unnecessary overhead when you already have inbuilt controls to manager security for S3.

NEW QUESTION # 113
......

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AWS-DevOps-Engineer-Professional PDF study guide & Amazon AWS-DevOps-Engineer-Professional test-king

Talking about the exam content, it covers six broad domains, which include the following:

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q108-Q113):

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