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The AWS Certified DevOps Engineer - Professional (DOP-C01) exam is an advanced level certification offered by Amazon Web Services (AWS) for professionals who have a strong understanding of DevOps practices and methodologies. DOP-C01 Exam validates the candidate’s expertise in the implementation and management of AWS services for DevOps practices, including automation, continuous delivery, and infrastructure as code.
Preparing for the AWS Certified DevOps Engineer - Professional (DOP-C01) exam requires a solid understanding of DevOps principles and practices, as well as hands-on experience with AWS services such as Elastic Compute Cloud (EC2), Elastic Load Balancing (ELB), Auto Scaling, and AWS CloudFormation. AWS also offers training courses and practice exams to help candidates prepare for the exam.
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The AWS Certified DevOps Engineer - Professional exam tests the candidate's ability to design, maintain, and operate highly available, scalable, and fault-tolerant systems on AWS. DOP-C01 Exam covers a wide range of topics, including automation, continuous integration and delivery (CI/CD), monitoring and logging, security, and compliance. As a result, successful candidates will demonstrate their knowledge and expertise in these areas, and will be able to apply their skills to real-world situations.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q427-Q432):
NEW QUESTION # 427
Your application stores sensitive information on an EBS volume attached to your EC2 instance. How can you
protect your information? Choose two answers from the options given below
- A. It is not possible to encrypt an EBS volume, you must use a lifecycle policy to transfer data to S3 for
encryption. - B. Unmount the EBS volume, take a snapshot and encrypt the snapshot. Re-mount the Amazon EBS
volume - C. Create and mount a new, encrypted Amazon EBS volume. Move the data to the new volume. Delete the
old Amazon EBS volume *t - D. Copy the unencrypted snapshot and check the box to encrypt the new snapshot. Volumes restored from
this encrypted snapshot will also be encrypted.
Answer: C,D
Explanation:
Explanation
These steps are given in the AWS documentation
To migrate data between encrypted and unencrypted volumes
1) Create your destination volume (encrypted or unencrypted, depending on your need).
2) Attach the destination volume to the instance that hosts the data to migrate.
3) Make the destination volume available by following the procedures in Making an Amazon EBS Volume
Available for Use. For Linux instances, you can create a mount point at /mnt/destination and mount the
destination volume there.
4) Copy the data from your source directory to the destination volume. It may be most convenient to use a
bulk-copy utility for this.
To encrypt a volume's data by means of snapshot copying
1) Create a snapshot of your unencrypted CBS volume. This snapshot is also unencrypted.
2) Copy the snapshot while applying encryption parameters. The resulting target snapshot is encrypted.
3) Restore the encrypted snapshot to a new volume, which is also encrypted.
For more information on EBS Encryption, please refer to the below document link: from AWS
* http://docs.aws.a
mazon.com/AWSEC2/latest/UserGuide/ EBSEncryption.html
NEW QUESTION # 428
You have a high security requirement for your AWS accounts.
What is the most rapid and sophisticated setup you can use to react to AWS API calls to your account?
- A. CloudWatch Events Rules which trigger based on all AWS API calls, submitting all events to an AWS Kinesis Stream for arbitrary downstream analysis.
- B. Use a CloudWatch Rule ScheduleExpression to periodically analyze IAM credential logs. Push the deltas for events into an ELK stack and perform ad-hoc analysis there.
- C. Subscription to AWS Config via an SNS Topic. Use a Lambda Function to perform in-flight analysis and reactivity to changes as they occur.
- D. Global AWS CloudTrail setup delivering to S3 with an SNS subscription to the deliver notifications, pushing into a Lambda, which inserts records into an ELK stack for analysis.
Answer: D
NEW QUESTION # 429
An Information Security policy requires that all publicly accessible systems be patched with critical OS security patches within 24 hours of a patch release. All instances are tagged with the Patch Group key set to 0. Two new AWS Systems Manager patch baselines for Windows and Red Hat Enterprise Linux (RHEL) with zero-day delay for security patches of critical severity were created with an auto-approval rule. Patch Group 0 has been associated with the new patch baselines.
Which two steps will automate patch compliance and reporting? (Select TWO.)
- A. Use the AWS Systems Manager Run Command to associate the AWS-ApplyPatchBaseline document with instances tagged with Patch Group 0.
- B. Create an AWS Systems Manager Maintenance Window and add a target with Patch Group 0. Add a task that runs the AWS-InstallWindowsUpdates document with a daily schedule.
- C. Create an AWS Systems Manager Maintenance Window and add a target with Patch Group 0. Add a task that runs the AWS-ApplyPatchBaseline document with a daily schedule.
- D. Create an AWS Systems Manager State Manager configuration. Associate the AWS- RunPatchBaseline task with the configuration and add a target with Patch Group 0.
- E. Create an AWS Systems Manager Maintenance Window with a daily schedule and add a target with Patch Group 0. Add a task that runs the AWS-RunPatchBaseline document with the Install action.
Answer: D,E
Explanation:
AWS-ApplyPatchBaseline and AWS-InstallWindowsUpdates only support Windows instances.
Only AWS-RunPatchBaseline supports both Windows and Linux systems as well.
https://docs.aws.amazon.com/ja_jp/systems-manager/latest/userguide/patch-manager-about- aws-runpatchbaseline.html
NEW QUESTION # 430
A DevOps Engineer has been asked by the Security team to ensure that AWS CloudTrail files are not tampered with after being created. Currently, there is a process with multiple trails, using AWS IAM to restrict access to specific trails. The Security team wants to ensure they can trace the integrity of each file and make sure there has been no tampering.
Which option will require the LEAST effort to implement and ensure the legitimacy of the file while allowing the Security team to prove the authenticity of the logs?
- A. Enable the CloudTrail file integrity feature on an Amazon S3 bucket. Create an IAM policy that grants the Security team access to the file integrity logs stored in the S3 bucket.
- B. Create an Amazon CloudWatch Events rule that triggers an AWS Lambda function when a new file is delivered. Configure the Lambda function to perform an MD5 hash check on the file, store the name and location of the file, and post the returned hash to an Amazon DynamoDB table. The Security team can use the values stored in DynamoDB to verify the file authenticity.
- C. Enable the CloudTrail file integrity feature on the trail. Use the digest file created by CloudTrail to verify the integrity of the delivered CloudTrail files.
- D. Create an AWS Lambda function that is triggered each time a new file is delivered to the CloudTrail bucket. Configure the Lambda function to execute an MD5 hash check on the file, and store the result on a tag in an Amazon S3 object. The Security team can use the information on the tag to verify the integrity of the file.
Answer: A
NEW QUESTION # 431
What are the default memory limit policies for a Docker container?
- A. Limited memory, limited kernel memory
- B. Limited memory, unlimited kernel memory
- C. Unlimited memory, limited kernel memory
- D. Unlimited memory, unlimited kernel memory
Answer: D
Explanation:
Kernel memory limits are expressed in terms of the overall memory allocated to a container.
Consider the following scenarios:
Unlimited memory, unlimited kernel memory: This is the default behavior. Unlimited memory, limited kernel memory: This is appropriate when the amount of memory needed by all cgroups is greater than the amount of memory that actually exists on the host machine. You can configure the kernel memory to never go over what is available on the host machine, and containers which need more memory need to wait for it. Limited memory, umlimited kernel memory: The overall memory is limited, but the kernel memory is not.
Limited memory, limited kernel memory: Limiting both user and kernel memory can be useful for debugging memory-related problems. If a container is using an unexpected amount of either type of memory, it will run out of memory without affecting other containers or the host machine. Within this setting, if the kernel memory limit is lower than the user memory limit, running out of kernel memory will cause the container to experience an OOM error. If the kernel memory limit is higher than the user memory limit, the kernel limit will not cause the container to experience an OOM.
Reference:
https://docs.docker.com/engine/admin/resource_constraints/#--kernel-memory-details
NEW QUESTION # 432
......
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