RELIABLE AWS-DEVOPS-ENGINEER-PROFESSIONAL TEST PASS4SURE | TEST AWS-DEVOPS-ENGINEER-PROFESSIONAL DUMPS PDF

Reliable AWS-DevOps-Engineer-Professional Test Pass4sure | Test AWS-DevOps-Engineer-Professional Dumps Pdf

Reliable AWS-DevOps-Engineer-Professional Test Pass4sure | Test AWS-DevOps-Engineer-Professional Dumps Pdf

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q163-Q168):

NEW QUESTION # 163
You are doing a load testing exercise on your application hosted on AWS. While testing your Amazon RDS MySQL DB instance, you notice that when you hit 100% CPU utilization on it, your application becomes non- responsive. Your application is read-heavy.
What are methods to scale your data tier to meet the application's needs? (Choose three.)

  • A. Enable Multi-AZ for your Amazon RDS DB instance.
  • B. Use ElastiCache in front of your Amazon RDS DB to cache common queries.
  • C. Add your Amazon RDS DB instance to an Auto Scaling group and configure your CloudWatch metric based on CPU utilization.
  • D. Shard your data set among multiple Amazon RDS DB instances.
  • E. Use an Amazon SQS queue to throttle data going to the Amazon RDS DB instance.
  • F. Add Amazon RDS DB read replicas, and have your application direct read queries to them.

Answer: B,D,F


NEW QUESTION # 164
You want to build an application that coordinates work across distributed components, and you find Amazon Simple Workflow Service (Amazon SWF) does this easily. You have enabled logging in CloudTrail, but you are unsure about Amazon SWF actions supported. Which of the following actions is NOT supported?

  • A. RegisterDomain
  • B. RegisterWorkflowType
  • C. RegisterActivityType
  • D. RegisterWorkflowActivity

Answer: D

Explanation:
Amazon SWF is integrated with AWS CloudTrail, a service that captures API calls made by or on behalf of Amazon SWF and delivers the log files to an Amazon S3 bucket that you specify. The API calls can be made indirectly by using the Amazon SWF console or directly by using the Amazon SWF API.
When CloudTrail logging is enabled, calls made to Amazon SWF actions are tracked in log files.
Amazon SWF records are written together with any other AWS service records in a log file.
CloudTrail determines when to create and write to a new file based on a specified time period and file size.
The following actions are supported:
DeprecateActivityType
DeprecateDomain
DeprecateWorkflowType
RegisterActivityType
RegisterDomain
RegisterWorkflowType
Reference: http://docs.aws.amazon.com/amazonswf/latest/developerguide/ct-logging.html


NEW QUESTION # 165
A company runs a database on a single Amazon EC2 instance in a development environment. The data is stored on separate Amazon EBS volumes that are attached to the EC2 instance. An Amazon Route 53 A record has been created and configured to point to the EC2 instance. The company would like to automate the recovery of the database instance when an instance or Availability Zone (AZ) fails. The company also wants to keep its costs low. The RTO is 4 hours and RPO is 12 hours. Which solution should a DevOps Engineer implement to meet these requirements?

  • A. Run the database in an Auto Scaling group with a minimum and maximum instance count of 1 in multiple AZs. Create an AWS Lambda function that is triggered by a scheduled Amazon CloudWatch Events rule every 4 hours to take a snapshot of the data volume and apply a tag. Have the instance UserData get the latest snapshot, create a new volume from it, and attach and mount the volume. Then start the database and update the Route 53 record.
  • B. Run the database on two separate EC2 instances in different AZs. Configure one of the instances as a master and the other as a standby. Set up replication between the master and standby instances. Point the Route 53 record to the master. Configure an Amazon CloudWatch Events rule to invoke an AWS Lambda function upon the EC2 instance termination. The Lambda function launches a replacement EC2 instance. If the terminated instance was the active node, the function promotes the standby to master and points the Route 53 record to it.
  • C. Run the database in an Auto Scaling group with a minimum and maximum instance count of 1 in multiple AZs. Add a lifecycle hook to the Auto Scaling group and define an Amazon CloudWatch Events rule that is triggered when a lifecycle event occurs. Have the CloudWatch Events rule invoke an AWS Lambda function to detach or attach the Amazon EBS data volumes from the EC2 instance based on the event. Configure the EC2 instance UserData to mount the data volumes (retry on failure with a short delay), then start the database and update the Route 53 record.
  • D. Run the database on two separate EC2 instances in different AZs with one active and the other as a standby. Attach the data volumes to the active instance. Configure an Amazon CloudWatch Events rule to invoke an AWS Lambda function on EC2 instance termination. The Lambda function launches a replacement EC2 instance. If the terminated instance was the active node, then the function attaches the data volumes to the standby node. Start the database and update the Route 53 record.

Answer: B


NEW QUESTION # 166
A company is implementing AWS CodePipeline to automate its testing process. The company wants to be notified when the execution state fails and used the following custom event pattern in Amazon CloudWatch:

Which type of events will match this event pattern?

  • A. Failed deploy and build actions across all the pipelines.
  • B. All the events across all pipelines.
  • C. Approval actions across all the pipelines.
  • D. All rejected or failed approval actions across all the pipelines.

Answer: D

Explanation:
https://docs.aws.amazon.com/codepipeline/latest/userguide/detect-state-changes-cloudwatch- events.html


NEW QUESTION # 167
You work for a company that automatically tags photographs using artificial neural networks (ANNs), which run on GPUs using C++. You receive millions of images at a time, but only 3 times per day on average. These images are loaded into an AWS S3 bucket you control for you in a batch, and then the customer publishes a JSON-formatted manifest into another S3 bucket you control as well. Each image takes 10 milliseconds to process using a full GPU. Your neural network software requires 5 minutes to bootstrap. Image tags are JSON objects, and you must publish them to an S3 bucket. Which of these is the best system architectures for this system?

  • A. Make an S3 notification configuration which publishes to AWS Lambda on the manifest bucket.
    Make the Lambda create a CloudFormation Stack which contains the logic to construct an autoscaling worker tier of EC2 G2 instances with the ANN code on each instance. Create an SQS queue of the images in the manifest. Tear the stack down when the queue is empty.
  • B. Create an Auto Scaling, Load Balanced Elastic Beanstalk worker tier Application and Environment.
    Deploy the ANN code to G2 instances in this tier. Set the desired capacity to 1. Make the code periodically check S3 for new manifests. When a new manifest is detected, push all of the images in the manifest into the SQS queue associated with the Elastic Beanstalk worker tier.
  • C. Deploy your ANN code to AWS Lambda as a bundled binary for the C++ extension. Make an S3 notification configuration on the manifest, which publishes to another AWS Lambda running controller code. This controller code publishes all the images in the manifest to AWS Kinesis.
    Your ANN code Lambda Function uses the Kinesis as an Event Source. The system automatically scales when the stream contains image events.
  • D. Create an OpsWorks Stack with two Layers. The first contains lifecycle scripts for launching and bootstrapping an HTTP API on G2 instances for ANN image processing, and the second has an always-on instance which monitors the S3 manifest bucket for new files. When a new file is detected, request instances to boot on the ANN layer. When the instances are booted and the HTTP APIs are up, submit processing requests to individual instances.

Answer: A

Explanation:
The Elastic Beanstalk option is incorrect because it requires a constantly-polling instance, which may break and costs money.
The Lambda fleet option is incorrect because AWS Lambda does not support GPU usage. The OpsWorks stack option both requires a constantly-polling instance, and also requires complex timing and capacity planning logic.
The CloudFormation option requires no polling, has no always-on instances, and allows arbitrarily fast processing by simply setting the instance count as high as needed.
http://docs.aws.amazon.com/lambda/latest/dg/current-supported-versions.html


NEW QUESTION # 168
......

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