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DOP-C01 PDF DEMO:

QUESTION NO: 1
A company uses AWS CodePipeline to manage and deploy infrastructure as code. The infrastructure is defined in AWS CloudFormation templates and is primarily comprised of multiple
Amazon EC2 instances and Amazon RDS databases. The Security team has observed many operators creating inbound security group rules with a source CIDR of 0 0 0 0/0 and would like to proactively stop the deployment of rules with open CIDRs The DevOps Engineer will implement a predeptoyment step that runs some security checks over the CloudFormation template before the pipeline processes it. This check should allow only inbound security group rules with a source CIDR of 0.0.0.0/0 if the rule has the description "Security Approval Ref XXXXX (where XXXXX is a preallocated reference). The pipeline step should fail if this condition is not met and the deployment should be blocked How should this be accomplished?
A. Create an AWS Config rule that is triggered on creation or edit of resource type EC2
SecurityGroup.
This rule should call an AWS Lambda function to send a failure notification if the security group has any rules with a source CIDR of 0.0.0.0/0 without a description referencing a security approval.
B. Modify the IAM role used by CodePipeline. The IAM policy should deny access.
C. Add an initial stage to CodePipeline called Security Check. This stage should call an AWS Lambda function that scans the CloudFormation template and fails the pipeline if it finds 0.0.0.0/0 in a security group without a description referencing a security approval
D. Enable a SCP in AWS Organizations. The policy should deny access to the API call Create Security
GroupRule if the rule specifies 0.0.0.0/0 without a description referencing a security approval
Answer: C

QUESTION NO: 2
A DevOps Engineer discovered a sudden spike in a website's page load times and found that a recent deployment occurred. A brief diff of the related commit shows that the URL for an external
API call was altered and the connecting port changed from 80 to 443. The external API has been verified and works outside the application. The application logs show that the connection is now timing out, resulting in multiple retries and eventual failure of the call.
Which debug steps should the Engineer take to determine the root cause of the issue?
A. Check the application logs being written to Amazon CloudWatch Logs for debug information.
Check the ingress security group rules and routing rules for the VPC.
B. Check the VPC Flow Logs looking for denies originating from Amazon EC2 instances that are part of the web Auto Scaling group. Check the ingress security group rules and routing rules for the VPC.
C. Check the egress security group rules and network ACLs for the VP Also check the VPC flow logs looking for accepts originating from the web Auto Scaling group.
D. Check the existing egress security group rules and network ACLs for the VPC. Also check the application logs being written to Amazon CloudWatch Logs for debug information.
Answer: C

QUESTION NO: 3
An application is being deployed with two Amazon EC2 Auto Scaling groups, each configured with an Application Load Balancer. The application is deployed to one of the Auto Scaling groups and an Amazon Route 53 alias record is pointed to the Application Load Balancer of the last deployed
Auto Scaling group.
Deployments alternate between the two Auto Scaling groups.
Home security devices are making requests into the application. The Development team notes that new requests are coming into the old stack days after the deployment. The issue is caused by devices that are not observing the Time to Live (TTL) setting on the Amazon Route 53 alias record.
What steps should the DevOps Engineer take to address the issue with requests coming to the old stacks, while creating minimal additional resources?
A. Reduce the application to one Application Load Balancer. Create two target groups named Blue and Green. Create a rule on the Application Load Balancer pointed to a single target group. Add logic to the deployment to update the Application Load Balancer rule to the target group of the newly deployed Auto Scaling group.
B. Create an Amazon CloudFront distribution. Set the two existing Application Load Balancers as origins on the distribution. After a deployment, update the CloudFront distribution behavior to send requests to the newly deployed Auto Scaling group.
C. Move the application to an AWS Elastic Beanstalk application with two environments. Perform new deployments on the non-live environment. After a deployment, perform an Elastic Beanstalk
CNAME swap to make the newly deployed environment the live environment.
D. Create a fleet of Amazon EC2 instances running HAProxy behind an Application Load Balancer. The
HAProxy instances will proxy the requests to one of the existing Auto Scaling groups. After a deployment the HAProxy instances are updated to send requests to the newly deployed Auto Scaling group.
Answer: A

QUESTION NO: 4
A DevOps Engineer must improve the monitoring of a Finance team payments microservice that handles transactions for an e-commerce platform. The microservice runs on multiple Amazon
EC2 instances. The Finance team would like to know the number of payments per minute, and the team would like to be notified when this metric falls below a specified threshold.
How can this be cost-effectively automated?
A. Have the Development team post the number of successful transactions to Amazon CloudWatch as a custom metric. Create a CloudWatch alarm when the threshold is breached, and use Amazon
SNS to notify the Finance team.
B. Have the Development team log successful transactions to an application log. Set up Logstash on each instance, which sends logs to an Amazon ES cluster. Create a Kibana dashboard for the Finance team that graphs the metric.
C. Have the Development team log successful transactions to an application log. Set up the Amazon
CloudWatch agent on each instance. Create a CloudWatch alarm when the threshold is breached, and use Amazon SNS to notify the Finance team.
D. Have the Development team log successful transactions to an application log. On each instance, set up the Amazon CloudWatch Logs agent to send application logs to CloudWatch Logs. Use an EC2 instance to monitor a metric filter, and send notifications to the Finance team.
Answer: C

QUESTION NO: 5
An online retail company based in the United States plans to expand its operations to Europe and Asia in the next six months. Its product currently runs on Amazon EC2 instances behind an
Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple
Availability Zones. All data is stored in an Amazon Aurora database instance.
When the product is deployed in multiple regions, the company wants a single product catalog across all regions, but for compliance purposes, its customer information and purchases must be kept in each region.
How should the company meet these requirements with the LEAST amount of application changes?
A. Use Aurora with read replicas for the product catalog and additional local Aurora instances in each region for the customer information and purchases.
B. Use Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.
C. Use Amazon DynamoDB global tables for the product catalog and regional tables for the customer information and purchases
D. Use Amazon Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.
Answer: A

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Updated: Jun 03, 2020

DOP-C01日本語試験情報 & DOP-C01無料模擬試験 - DOP-C01専門試験

PDF問題と解答

試験コード:DOP-C01
試験名称:AWS Certified DevOps Engineer - Professional
最近更新時間:2020-06-04
問題と解答:全 187
Amazon DOP-C01 関連試験

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模擬試験

試験コード:DOP-C01
試験名称:AWS Certified DevOps Engineer - Professional
最近更新時間:2020-06-04
問題と解答:全 187
Amazon DOP-C01 受験方法

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オンライン版

試験コード:DOP-C01
試験名称:AWS Certified DevOps Engineer - Professional
最近更新時間:2020-06-04
問題と解答:全 187
Amazon DOP-C01 トレーリングサンプル

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DOP-C01 テキスト