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Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) Exam is a certification that validates the skills and expertise of professionals in the field of DevOps engineering. AWS Certified DevOps Engineer - Professional certification is designed to showcase the ability of candidates to design and manage dynamic and scalable systems on the AWS platform. AWS-DevOps Exam is intended for those who have prior experience in developing and operating applications in a cloud environment.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q277-Q282):

NEW QUESTION # 277
You have a set of applications hosted in AWS. There is a requirement to store the logs from this application
onto durable storage. After a period of 3 months, the logs can be placed in archival storage. Which of the
following steps would you carry out to achieve this requirement. Choose 2 answers from the options given
below

A. UseLifecycle policies to move the data onto Amazon Simple Storage service after aperiod of 3 months
B. Storethe logfiles as they emitted from the application on to Amazon Glacier
C. Storethe log files as they emitted from the application on to Amazon Simple Storageservice
D. UseLifecycle policies to move the data onto Amazon Glacier after a period of 3months

Answer: C,D

Explanation:
Explanation
The AWS Documentation mentions the following
Amazon Simple Storage Service (Amazon S3) makes it simple and practical to collect, store, and analyze data
- regardless of format - all at massive scale. S3 is object
storage built to store and retrieve any amount of data from anywhere - web sites and mobile apps, corporate
applications, and data from loT sensors or devices.
For more information on S3, please visit the below URL:
* https://aws.amazon.com/s3/
Lifecycle configuration enables you to specify the lifecycle management of objects in a bucket. The
configuration is a set of one or more rules, where each rule defines an action for Amazon S3 to apply to a
group of objects. These actions can be classified as follows: Transition actions - In which you define when
objects transition to another storage class. For example, you may choose to transition objects to the
STANDARDJ A (IA, for infrequent access) storage class 30 days after creation, or archive objects to the
GLACIER storage class one year after creation. Cxpiration actions - In which you specify when the objects
expire. Then Amazon S3 deletes the expired objects on your behalf. For more information on S3 Lifecycle
policies please visit the below URL:
* http://docs.aws.a
mazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.htm I

NEW QUESTION # 278
A company wants to use a grid system for a proprietary enterprise in-memory data store on top of AWS. This system can run in multiple server nodes in any Linux-based distribution. The system must be able to reconfigure the entire cluster every time a node is added or removed. When adding or removing nodes, an / etc./cluster/nodes.config file must be updated, listing the IP addresses of the current node members of that cluster The company wants to automate the task of adding new nodes to a cluster. What can a DevOps Engineer do to meet these requirements?

A. Create a user data script that lists all members of the current security group of the cluster and automatically updates the /etc/cluster/nodes.config file whenever a new instance is added to the cluster
B. Use AWS OpsWorks Stacks to layer the server nodes of that cluster. Create a Chef recipe that populates the content of the /etc/cluster/nodes.config file and restarts the service by using the current members of the layer. Assign that recipe to the Configure lifecycle event.
C. Put the file nodes.config in version control. Create an AWS CodeDeploy deployment configuration and deployment group based on an Amazon EC2 tag value for the cluster nodes. When adding a new node to the cluster, update the file with all tagged instances, and make a commit in version control. Deploy the new file and restart the services.
D. Create an Amazon S3 bucket and upload a version of the etc/cluster/nodes.config file. Create a crontab script that will poll for that S3 file and download it frequently. Use a process manager, such as Monit or systemd, to restart the cluster services when it detects that the new file was modified. When adding a node to the cluster, edit the file's most recent members. Upload the new file to the S3 bucket.

Answer: B

Explanation:
https://docs.aws.amazon.com/opsworks/latest/userguide/workingcookbook-events.html

NEW QUESTION # 279
You are using a configuration management system to manage your Amazon EC2 instances. On your Amazon
EC2 Instances, you want to store credentials for connecting to an Amazon RDS MYSQL DB instance. How
should you securely store these credentials?

A. Launch an Amazon EC2 instance and use the configuration management system to bootstrap the
instance with the Amazon RDS DB credentials. Create an AMI from this instance.
B. Assign an 1AM role to your Amazon EC2 instance, and use this 1AM role to access the Amazon RDS
DB from your Amazon EC2 instances.
C. Store the Amazon RDS DB credentials in Amazon EC2 user data. Import the credentials into the
Instance on boot.
D. Give the Amazon EC2 instances an 1AM role that allows read access to a private Amazon S3 bucket.
Store a file with database credentials in the Amazon S3 bucket. Have your configuration management
system pull the file from the bucket when it is needed.

Answer: B

Explanation:
Explanation
Creating and Using an 1AM Policy for 1AM Database Access
To allow an 1AM user or role to connect to your DB instance or DB cluster, you must create an 1AM policy.
After that you attach the policy to an 1AM user or role.
Note
To learn more about 1AM policies, see Authentication and Access Control for Amazon RDS.
The following example policy allows an 1AM user to connect to a DB instance using 1AM database
authentication.

Important
Don't confuse the rds-db: prefix with other Amazon RDS action prefixes that begin with rds:. You use the
rds-db: prefix and the rds-db:connect action only for 1AM database authentication. They aren't valid in any
other context.
1AM Database Authentication for MySQL and Amazon Aurora
With Amazon RDS for MySQL or Aurora with MySQL compatibility, you can authenticate to your DB
instance or DB cluster using AWS Identity and Access Management (IAMJ database authentication. With this
authentication method, you don't need to use a password when you connect to a DB instance. Instead, you use
an authentication token.
An authentication token is a unique string of characters that Amazon RDS generates on request.
Authentication tokens are generated using AWS Signature Version 4. Each token has a lifetime of 15 minutes.
You don't need to store user credentials in the database, because authentication is managed externally using
1AM. You can also still use standard database authentication.
IAM database authentication provides the following benefits:
* Network traffic to and from the database is encrypted using Secure Sockets Layer (SSL).
* You can use IAM to centrally manage access to your database resources, instead of managing access
individually on each DB instance or DB cluster.
* For applications running on Amazon EC2, you can use EC2 instance profile credentials to access the
database instead of a password, for greater security.
For more information please refer to the below document link from AWS
* https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/UsingWithRDS.IAMDBAuth.html
* https://docs

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