DOP-C02 NEW BRAINDUMPS PDF, TEST DOP-C02 DUMPS.ZIP

DOP-C02 New Braindumps Pdf, Test DOP-C02 Dumps.zip

DOP-C02 New Braindumps Pdf, Test DOP-C02 Dumps.zip

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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Certification Exam is designed to test the skills and knowledge of DevOps professionals who work with the Amazon Web Services (AWS) platform. DOP-C02 exam is aimed at experienced DevOps engineers who have a deep understanding of AWS services and are able to manage complex, multi-tier applications on the AWS platform.

Amazon DOP-C02: AWS Certified DevOps Engineer - Professional Exam is an essential certification for DevOps professionals who want to validate their skills and knowledge in AWS services and DevOps practices. AWS Certified DevOps Engineer - Professional certification can significantly enhance a candidate's career opportunities by providing them with the necessary skills to design and manage complex systems that support continuous delivery and integration. With proper preparation and hard work, candidates can Pass DOP-C02 Exam and become certified AWS DevOps engineers.

The DOP-C02 exam is intended for individuals who have already earned the AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate certifications. Candidates should have at least two years of experience in a DevOps role, and should have a deep understanding of AWS services and infrastructure. DOP-C02 exam consists of 75 multiple-choice and multiple-response questions, and candidates have 180 minutes to complete it.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q77-Q82):

NEW QUESTION # 77
A company runs applications on Windows and Linux Amazon EC2 instances The instances run across multiple Availability Zones In an AWS Region. The company uses Auto Scaling groups for each application.
The company needs a durable storage solution for the instances. The solution must use SMB for Windows and must use NFS for Linux. The solution must also have sub-millisecond latencies. All instances will read and write the data.
Which combination of steps will meet these requirements? (Select THREE.)

  • A. Create an Amazon Elastic File System (Amazon EFS) file system that has targets in multiple Availability Zones
  • B. Update the EC2 instances for each application to mount the file system when new instances are launched
  • C. Perform an instance refresh on each Auto Scaling group.
  • D. Create a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon EBS) volume to use for shared storage.
  • E. Update the user data for each application's launch template to mount the file system
  • F. Create an Amazon FSx for NetApp ONTAP Multi-AZ file system.

Answer: A,E,F

Explanation:
Create an Amazon Elastic File System (Amazon EFS) File System with Targets in Multiple Availability Zones:
* Amazon EFS provides a scalable and highly available network file system that supports the NFS protocol. EFS is ideal for Linux instances as it allows multiple instances to read and write data concurrently.
* Setting up EFS with targets in multiple Availability Zones ensures high availability and durability.


NEW QUESTION # 78
A company has an application that runs on AWS Lambda and sends logs to Amazon CloudWatch Logs. An Amazon Kinesis data stream is subscribed to the log groups in CloudWatch Logs. A single consumer Lambda function processes the logs from the data stream and stores the logs in an Amazon S3 bucket.
The company's DevOps team has noticed high latency during the processing and ingestion of some logs.
Which combination of steps will reduce the latency? (Select THREE.)

  • A. Configure reserved concurrency for the Lambda function that processes the logs.
  • B. Increase the ParallelizationFactor setting in the Lambda event source mapping.
  • C. Increase the batch size in the Kinesis data stream.
  • D. Turn off the ReportBatchltemFailures setting in the Lambda event source mapping.
  • E. Increase the number of shards in the Kinesis data stream.
  • F. Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer.

Answer: A,B,F

Explanation:
The latency in processing and ingesting logs can be caused by several factors, such as the throughput of the Kinesis data stream, the concurrency of the Lambda function, and the configuration of the event source mapping. To reduce the latency, the following steps can be taken:
* Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer. This will allow the Lambda function toreceive records from the data stream with dedicated throughput of up to 2 MB per second per shard, independent of other consumers1. This will reduce the contention and delay in accessing the data stream.
* Increase the ParallelizationFactor setting in the Lambda event source mapping. This will allow the Lambda service to invoke more instances of the function concurrently to process the records from the data stream2. This will increase the processing capacity and reduce the backlog of records in the data stream.
* Configure reserved concurrency for the Lambda function that processes the logs. This will ensure that the function has enough concurrency available to handle the increased load from the data stream3. This will prevent the function from being throttled by the account-level concurrency limit.
The other options are not effective or may have negative impacts on the latency. Option D is not suitable because increasing the batch size in the Kinesis data stream will increase the amount of data that the Lambda function has to process in each invocation, which may increase the execution time and latency4. Option E is not advisable because turning off the ReportBatchItemFailures setting in the Lambda event source mapping will prevent the Lambda service from retrying the failed records, which may result in data loss. Option F is not necessary because increasing the number of shards in the Kinesis data stream will increase the throughput of the data stream, but it will not affect the processing speed of the Lambda function, which is the bottleneck in this scenario.
References:
* 1: Using AWS Lambda with Amazon Kinesis Data Streams - AWS Lambda
* 2: AWS Lambda event source mappings - AWS Lambda
* 3: Managing concurrency for a Lambda function - AWS Lambda
* 4: AWS Lambda function scaling - AWS Lambda
* : AWS Lambda event source mappings - AWS Lambda
* : Scaling Amazon Kinesis Data Streams with AWS CloudFormation - Amazon Kinesis Data Streams


NEW QUESTION # 79
An AWS CodePipeline pipeline has implemented a code release process. The pipeline is integrated with AWS CodeDeploy to deploy versions of an application to multiple Amazon EC2 instances for each CodePipeline stage.
During a recent deployment the pipeline failed due to a CodeDeploy issue. The DevOps team wants to improve monitoring and notifications during deployment to decrease resolution times.
What should the DevOps engineer do to create notifications. When issues are discovered?

  • A. Implement Amazon EventBridge for CodePipeline and CodeDeploy create an AWS Lambda function to evaluate code deployment issues, and create an Amazon Simple Notification Service (Amazon SNS) topic to notify stakeholders of deployment issues.
  • B. Implement AWS CloudTrail to record CodePipeline and CodeDeploy API call information create an AWS Lambda function to evaluate code deployment issues and create an Amazon Simple Notification Service (Amazon SNS) topic to notify stakeholders of deployment issues.
  • C. Implement Amazon EventBridge for CodePipeline and CodeDeploy create an Amazon. Inspector assessment target to evaluate code deployment issues and create an Amazon Simple. Notification Service (Amazon SNS) topic to notify stakeholders of deployment issues.
  • D. Implement Amazon CloudWatch Logs for CodePipeline and CodeDeploy create an AWS Config rule to evaluate code deployment issues, and create an Amazon Simple Notification Service (Amazon SNS) topic to notify stakeholders of deployment issues.

Answer: A

Explanation:
Explanation
AWS CloudWatch Events can be used to monitor events across different AWS resources, and a CloudWatch Event Rule can be created to trigger an AWS Lambda function when a deployment issue is detected in the pipeline. The Lambda function can then evaluate the issue and send a notification to the appropriate stakeholders through an Amazon SNS topic. This approach allows for real-time notifications and faster resolution times.


NEW QUESTION # 80
A company uses an organization in AWS Organizations that has all features enabled. The company uses AWS Backup in a primary account and uses an AWS Key Management Service (AWS KMS) key to encrypt the backups.
The company needs to automate a cross-account backup of the resources that AWS Backup backs up in the primary account. The company configures cross-account backup in the Organizations management account.
The company creates a new AWS account in the organization and configures an AWS Backup backup vault in the new account. The company creates a KMS key in the new account to encrypt the backups. Finally, the company configures a new backup plan in the primary account. The destination for the new backup plan is the backup vault in the new account.
When the AWS Backup job in the primary account is invoked, the job creates backups in the primary account.
However, the backups are not copied to the new account's backup vault.
Which combination of steps must the company take so that backups can be copied to the new account's backup vault? (Select TWO.)

  • A. Edit the backup vault access policy in the primary account to allow access to the new account.
  • B. Edit the backup vault access policy in the new account to allow access to the primary account.
  • C. Edit the key policy of the KMS key in the primary account to share the key with the new account.
  • D. Edit the key policy of the KMS key in the new account to share the key with the primary account.
  • E. Edit the backup vault access policy in the primary account to allow access to the KMS key in the new account.

Answer: B,D

Explanation:
To enable cross-account backup, the company needs to grant permissions to both the backup vault and the KMS key in the destination account. The backup vault access policy in the destination account must allow the primary account to copy backups into the vault. The key policy of the KMS key in the destination account must allow the primary account to use the key to encrypt and decrypt the backups. These steps are described in the AWS documentation12. Therefore, the correct answer is A and E.
References:
* 1: Creating backup copies across AWS accounts - AWS Backup
* 2: Using AWS Backup with AWS Organizations - AWS Backup


NEW QUESTION # 81
A company uses a series of individual Amazon Cloud Formation templates to deploy its multi-Region Applications. These templates must be deployed in a specific order. The company is making more changes to the templates than previously expected and wants to deploy new templates more efficiently. Additionally, the data engineering team must be notified of all changes to the templates.
What should the company do to accomplish these goals?

  • A. Implement CloudFormation StackSets and use drift detection to trigger update alerts to the data engineering team.
  • B. Create an AWS Lambda function to deploy the Cloud Formation templates m the required order Use stack policies to alert the data engineering team.
  • C. Host the Cloud Formation templates in Amazon S3 Use Amazon S3 events to directly trigger CloudFormation updates and Amazon SNS notifications.
  • D. Leverage CloudFormation nested stacks and stack sets (or deployments Use Amazon SNS to notify the data engineering team.

Answer: D

Explanation:
This solution will meet the requirements because it will use CloudFormation nested stacks and stack sets to deploy the templates more efficiently and consistently across multiple regions. Nested stacks allow the company to separate out common components and reuse templates, while stack sets allow the company to create stacks in multiple accounts and regions with a single template. The company can also use Amazon SNS to send notifications to the data engineering team whenever a change is made to the templates or the stacks. Amazon SNS is a service that allows you to publish messages to subscribers, such as email addresses, phone numbers, or other AWS services. By using Amazon SNS, the company can ensure that the data engineering team is aware of all changes to the templates and can take appropriate actions if needed. What is Amazon SNS? - Amazon Simple Notification Service


NEW QUESTION # 82
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