File Info
| Exam | AWS DevOps Engineer - Professional |
| Number | DOP-C01 |
| File Name | Amazon.DOP-C01.SelfTestEngine.2019-05-20.31q.tqb |
| Size | 363 KB |
| Posted | May 20, 2019 |
| Download | Amazon.DOP-C01.SelfTestEngine.2019-05-20.31q.tqb |
How to open VCEX & EXAM Files?
Files with VCEX & EXAM extensions can be opened by ProfExam Simulator.
Coupon: MASTEREXAM
With discount: 20%
Demo Questions
Question 1
An IT department manages a portfolio with Windows and Linux (Amazon and Red Hat Enterprise Linux) servers both on-premises and on AWS. An audit reveals that there is no process for updating OS and core application patches, and that the servers have inconsistent patch levels.
Which of the following provides the MOST reliable and consistent mechanism for updating and maintaining all servers at the recent OS and core application patch levels?
- Install AWS Systems Manager agent on all on-premises and AWS servers. Create Systems Manager Resource Groups. Use Systems Manager Patch Manager with a preconfigured patch baseline to run scheduled patch updates during maintenance windows.
- Install the AWS OpsWorks agent on all on-premises and AWS servers. Create an OpsWorks stack with separate layers for each operating system, and get a recipe from the Chef supermarket to run the patch commands for each layer during maintenance windows.
- Use a shell script to install the latest OS patches on the Linux servers using yum and schedule it to run automatically using cron. Use Windows Update to automatically patch Windows servers.
- Use AWS Systems Manager Parameter Store to securely store credentials for each Linux and Windows server. Create Systems Manager Resource Groups. Use the Systems Manager Run Command to remotely deploy patch updates using the credentials in Systems Manager Parameter Store
Correct answer: D
Question 2
A company is setting a centralized logging solution on AWS and has several requirements. The company wants its Amazon CloudWatch Logs and VPC Flow logs to come from different sub accounts and to be delivered to a single auditing account. However, the number of sub accounts keeps changing. The company also needs to index the logs in the auditing account to gather actionable insight.
How should a DevOps Engineer implement the solution to meet all of the company’s requirements?
- Use AWS Lambda to write logs to Amazon ES in the auditing account Create an Amazon CloudWatch subscription filter and use Amazon Kinesis Data Streams in the sub accounts to stream the logs to the Lambda function deployment in the auditing account.
- Use Amazon Kinesis Streams to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and use Kinesis Data Streams in the sub accounts to stream the logs to the Kinesis stream in the auditing account.
- Use Amazon Kinesis Firehose with Kinesis Data Streams to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and stream logs from sub accounts to the Kinesis stream in the auditing account.
- Use AWS Lambda to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and use Lambda in the sub accounts to stream the logs to the Lambda function deployed in the auditing account.
Correct answer: C
Question 3
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?
- 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.
- 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.
- 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 .
- 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
Correct answer: B
