A Review Of Top Quality DOP-C01 Free Dumps

The AWS Documentation mentions the following on AWS Code Deploy
An application specification file (AppSpec file), which is unique to AWS CodeDeploy, is a YAML- formatted file used to:
Map the source files in your application revision to their destinations on the instance. Specify custom permissions for deployed files.
Specify scripts to be run on each instance at various stages of the deployment process. For more information on AWS CodeDeploy, please refer to the URL: http://docs.aws.amazon.com/codedeploy/latest/userguide/application-specification-files.htmI

The AWS Documentation mentions the following
AWS Elastic Beanstalk is a fast and simple way to get an application up and running on AWS.6 It's perfect for developers who want to deploy code without worrying about managing the underlying infrastructure. Elastic Beanstalk supports Auto Scaling and Elastic Load Balancing, both of which enable blue/green deployment.
Elastic Beanstalk makes it easy to run multiple versions of your application and provides capabilities to swap the environment URLs, facilitating blue/green deployment.
AWS OpsWorks is a configuration management service based on Chef that allows customers to deploy and manage application stacks on AWS.7 Customers can specify resource and application configuration, and deploy and monitor running resources. OpsWorks simplifies cloning entire stacks when you're preparing blue/green environments.
For more information on Blue Green deployments, please refer to the below link:
• https://dO3wsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf

The AWS documentation mentions the following
Amazon CBS encryption offers you a simple encryption solution for your EBS volumes without the need for you to build, maintain, and secure your own key management infrastructure. When you create an encrypted CBS volume and attach it to a supported instance type, the following types of data are encrypted:
Data at rest inside the volume
All data moving between the volume and the instance
All snapshots created from the volume Data protection refers to protecting data while in-transit (as it travels to and from Amazon S3) and at rest (while it is stored on disks in Amazon S3 data centers). You can protect data in transit by using SSL or by using client-side encryption. You have the following options of protecting data at rest in Amazon S3.
Use Server-Side encryption - You request Amazon S3 to encrypt your object before saving it on disks in its data centers and decrypt it when you download the objects.
Use Client-Side Encryption - You can encrypt data client-side and upload the encrypted data to Amazon S3. In this case, you manage the encryption process, the encryption keys, and related tools. You can create a load balancer that uses the SSL/TLS protocol for encrypted connections (also known as SSL offload). This feature enables traffic encryption between your load balancer and the clients that initiate HTTPS sessions, and for connections between your load balancer and your L~C2 instances. For more information on securing data at rest, please refer to the below link:
• https://dO3wsstatic.com/whitepapers/aws-securing-data-at-rest-with-encryption.pdf

The AWS documentation mentions the below point Important
For Linux stacks, if you want to associate an Amazon RDS service layer with your app, you must add the appropriate driver package to the associated app server layer,
as follows:
1. Click Layers in the navigation pane and open the app server's Recipes tab.
2. Click Edit and add the appropriate driver package to OS Packages. For example, you should specify mysql if the layer contains Amazon Linux instances and mysql-client if the layer contains Ubuntu instances.
3. Save the changes and redeploy the app.
For more information on Opswork app connectivity, please visit the below URL: http://docs.aws.amazon.com/opsworks/latest/userguide/workingapps-connectdb.htmI

The AWS Documentation mentions
Because Elastic Beanstalk uses a drop-in upgrade process, there might be a few seconds of downtime. Use rolling deployments to minimize the effect of deployments on your production environments.
For more information on troubleshooting Elastic Beanstalk, please refer to the below link:
• http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/troubleshooting-deployments.html
• https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.de ploy-existing- version, html

Jumbo frames allow more than 1500 bytes of data by increasing the payload size per packet, and thus increasing the percentage of the packet that is not packet
overhead. Fewer packets are needed to send the same amount of usable data. However, outside of a given AWS region (CC2-Classic), a single VPC, or a VPC peering
connection, you will experience a maximum path of 1500 MTU. VPN connections and traffic sent over an Internet gateway are limited to 1500 MTU. If packets are over
1500 bytes, they are fragmented, or they are dropped if the Don't Fragment flag is set in the IP header.
For more information on Jumbo Frames, please visit the below URL: http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/network_mtu.htm#jumbo_frame_instance s

The AWS Documentation mentions the following
With web identity federation, you don't need to create custom sign-in code or manage your own user identities. Instead, users of your app can sign in using a well-known identity provider (IdP) — such as Login with Amazon, Facebook, Google, or any other OpenID Connect (OIDC)-compatible IdP, receive an authentication token, and then exchange that token for temporary security credentials in AWS that map to an 1AM role with permissions to use the resources in your AWS account. Using an IdP helps you keep your AWS account secure, because you don't have to embed and distribute long- term security credentials with your application. For more information on Web Identity federation, please visit the below url http://docs.ws.amazon.com/IAM/latest/UserGuide/id_roles_providers_oidc.html

The AWS documentation mentions the following on dead-letter queues
Amazon SQS supports dead-letter queues. A dead-letter queue is a queue that other (source) queues can target for messages that can't be processed (consumed)
successfully. You can set aside and isolate these messages in the dead-letter queue to determine why their processing doesn't succeed.
For more information on dead letter queues please visit the below link http://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-dead-letter- queues. html

The AWS Documentation provides the following information on lifecycle hooks
By default, the instance remains in a wait state for one hour, and then Auto Scaling continues the launch or terminate process (Pending: Proceed or Terminating: Proceed). If you need more time, you can restart the timeout period by recording a heartbeat. If you finish before the timeout period ends, you can complete the lifecycle action, which continues the launch or termination process
For more information on AWS Lifecycle hooks, please visit the below URL:
• http://docs.aws.amazon.com/autoscaling/latest/userguide/lifecycle-hooks.html

When you need to update a stack, understanding how your changes will affect running resources before you implement them can help you update stacks with confidence. Change sets allow you to preview how proposed changes to a stack might impact your running resources, for example, whether your changes will delete or replace any critical resources, AWS CloudFormation makes the changes to your stack only when you decide to execute the change set, allowing you to decide whether to proceed with your proposed changes or explore other changes by creating another change set
For example, you can use a change set to verify that AWS CloudFormation won't replace your stack's database instances during an update.

None

This is an example of a Blue Green Deployment
You can shift traffic all at once or you can do a weighted distribution. With Amazon Route 53, you can define a percentage of traffic to go to the green environment and gradually update the weights until the green environment carries the full production traffic. A weighted distribution provides the ability to perform canary analysis where a small percentage of production traffic is introduced to a new environment. You can test the new code and monitor for errors, limiting the blast radius if any issues are encountered. It also allows the green environment to scale out to support the full production load if you're using Elastic Load Balancing

For more information on Blue Green Deployments, please visit the below URL:
• https://dOawsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf

The AWS Documentation mentions the following
To use Clastic Load Balancing with a stack, you must first create one or more load balancers in the same region by using the Clastic Load Balancing console, CLI, or API. You should be aware of the following:
You can attach only one load balancer to a layer. Cach load balancer can handle only one layer.
AWS OpsWorks Stacks does not support Application Load Balancer. You can only use Classic Load Balancer with AWS OpsWorks Stacks. For more information on Clastic Load Balancer with Opswork,
please visit the below url http://docs.aws.a mazon.com/opsworks/latest/userguide/layers-elb.html

Every Lambda function is allocated with a fixed amount of specific resources regardless of the memory allocation, and each function is allocated with a fixed amount of code storage per function and per account.
By default, AWS Lambda limits the total concurrent executions across all functions within a given region to 1000.
For more information on Concurrent executions, please visit the below URL: http://docs.aws.amazon.com/lambda/latest/dg/concurrent-executions.htmI

The AWS Documentation clearly mentions the below
AWS CloudTrail is an AWS service that helps you enable governance, compliance, and operational and risk auditing of your AWS account. Actions taken by a user,
role, or an AWS service are recorded as events in CloudTrail. Events include actions taken in the AWS Management Console, AWS Command Line Interface, and AWS SDKs and APIs.
For more information on Cloudtrail, please visit the below URL:
• http://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-user-guide.html

Reserved Instances provide you with a significant discount compared to On-Demand Instance pricing.
Reserved Instances are not physical instances, but rather a
billing discount applied to the use of On-Demand Instances in your account. These On-Demand Instances must match certain attributes in order to benefit from the
billing discount
For more information, please refer to the below link:
• https://aws.amazon.com/about-aws/whats-new/2011/12/01/New-Amazon-CC2-Reserved- lnstances-Options-Now-Available/
• https://aws.amazon.com/blogs/aws/reserved-instance-options-for-amazon-ec2/
• http://docs.aws.a mazon.com/AWSCC2/latest/UserGuide/ec2-reserved-instances.html Note:
It looks like these options are also no more available at present.
It looks like Convertible, Standard and scheduled are the new instance options. However the exams may still be referring to the old RIs. https://aws.amazon.com/ec2/pricing/reserved-instances/

The Cloudwatch metric retention is as follows. If the data points are of a one minute interval, then the graphs will not be available in Cloudwatch
• Data points with a period of less than 60 seconds are available for 3 hours. These data points are high-resolution custom metrics.
• Data points with a period of 60 seconds (1 minute) are available for 15 days
• Data points with a period of 300 seconds (5 minute) are available for 63 days
• Data points with a period of 3600 seconds (1 hour) are available for 455 days (15 months) For more information on Cloudwatch metrics, please visit the below U RL:
• http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_co ncepts.html

The AWS Documentation mentions
Continuous delivery is a release practice in which code changes are automatically built, tested, and prepared for release to production. With AWS Cloud Formation
and AWS CodePipeline, you can use continuous delivery to automatically build and test changes to your AWS Cloud Formation templates before promoting them to
production stacks. This release process lets you rapidly and reliably make changes to your AWS infrastructure.
For more information on Continuous Delivery, please visit the below URL: http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/continuous-delivery-codepipeline.html

The AWS documentation mentions
You share resources in one account with users in a different account. By setting up cross-account access in this way, you don't need to create individual 1AM users in each account In addition, users don't have to sign out of one account and sign into another in order to access resources that are in different AWS accounts. After configuring the role, you see how to use the role from the AWS Management Console, the AWS CLI, and the API
For more information on Cross Account Roles Access, please refer to the below link:
• http://docs.aws.amazon.com/IAM/latest/UserGuide/tutorial_cross-account-with-roles.html

The AWS Documentation mentions the following
AD Connector is a directory gateway with which you can redirect directory requests to your on- premises Microsoft Active Directory without caching any information
in the cloud. AD Connector comes in two sizes, small and large. A small AD Connector is designed for
smaller organizations of up to 500 users. A large AD Connector can support larger organizations of up to 5,000 users.
For more information on the AD connector, please refer to the below URL: http://docs.aws.amazon.com/directoryservice/latest/admin-guide/directory_ad_connector.html

The AWS Documentation mentions the following
You can use the container_commands key to execute commands that affect your application source code. Container commands run after the application and web
server have been set up and the application version archive has been extracted, but before the application version is deployed. Non-container commands and other
customization operations are performed prior to the application source code being extracted. For more information on Container commands, please visit the below URL: http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/customize-containers-ec2.htmI

You can use intrinsic functions, such as Fn::lf, Fn::Cquals, and Fn::Not, to conditionally create stack resources. These conditions are evaluated based on input parameters that you declare when you create or update a stack. After you define all your conditions, you can associate them with resources or resource properties in the Resources and Outputs sections of a template.
For more information on Cloud Formation template functions, please refer to the URL:
• http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/intrinsic-function- reference.html and
• http://docs.aws.a mazon.com/AWSCIoudFormation/latest/UserGuide/intri nsic-function- reference-conditions.html

You can create docker environments that support multiple containers per Amazon CC2 instance with multi-container Docker platform for Elastic Beanstalk-Elastic Beanstalk uses Amazon Elastic Container Service (Amazon CCS) to coordinate container deployments to multi-container Docker environments. Amazon CCS provides tools to manage a cluster of instances running Docker containers. Elastic Beanstalk takes care of Amazon CCS tasks including cluster creation, task definition, and execution Please refer to the below AWS documentation: https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create_deploy_docker_ecs.html

The aws documentation clearly indicates using T2 CC2 instance types for those instances which don't use CPU that often.
T2
T2 instances are Burstable Performance Instances that provide a baseline level of CPU performance with the ability to burst above the baseline.
T2 Unlimited instances can sustain high CPU performance for as long as a workload needs it. For most general-purpose workloads, T2 Unlimited instances will provide ample performance without any additional charges. If the instance needs to run at higher CPU utilization for a prolonged period, it can also do so at a flat additional charge of 5 cents per vCPU-hour.
The baseline performance and ability to burst are governed by CPU Credits. T2 instances receive CPU Credits continuously at a set rate depending on the instance size, accumulating CPU Credits when they are idle, and consuming CPU credits when they are active. T2 instances are a good choice for a variety of general-purpose workloads including micro-services, low-latency interactive applications, small and medium databases, virtual desktops, development, build and stage environments, code repositories, and product prototypes. For more information see Burstable Performance Instances.
For more information on F_C2 instance types please see the below link: https://aws.amazon.com/ec2/instance-types/

AWS Identity and Access Management (1AM) is integrated with AWS CloudTrail, a sen/ice that logs AWS events made by or on behalf of your AWS account. CloudTrail logs authenticated AWS API calls and also AWS sign-in events, and collects this event information in files that are delivered to Amazon S3 buckets. You need to ensure that all services are included. Hence option B is partially correct.
Option B and D is wrong because it just adds an overhead for having 3 S3 buckets and SNS notifications.
For more information on Cloudtrail, please visit the below URL:
• http://docs.aws.a mazon.com/IAM/latest/UserGuide/cloudtrail-integration.htm I