Ultimate Guide to Prepare DOP-C01 Certification Exam for AWS Certified DevOps Engineer in 2022
Use Real DOP-C01 Dumps - Amazon Correct Answers updated on 2022
NEW QUESTION 61
What does it mean if you have zero IOPS and a non-empty I/O queue for all EBS volumes attached to a running EC2 instance?
- A. You need to re-mount the EBS volume in the OS.
- B. Your EBS disk head(s) is/are seeking magnetic stripes.
- C. The I/O queue is buffer flushing.
- D. The EBS volume is unavailable.
Answer: D
Explanation:
This is the definition of Unavailable from the EC2 and EBS SLA. "Unavailable" and "Unavailability" mean... For Amazon EBS, when all of your attached volumes perform zero read write IO, with pending IO in the queue.
Reference:
https://aws.amazon.com/ec2/sla/
NEW QUESTION 62
Which major database needs a BYO license?
- A. MariaDB
- B. Oracle
- C. MySQL
- D. PostgreSQL
Answer: B
Explanation:
Oracle is not open source, and requires a bring your own license model.
http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Oracle.html
NEW QUESTION 63
If I want Cloud Formation stack status updates to show up in a continuous delivery system in as close to real time as possible, how should I achieve this?
- A. Subscribe your continuous delivery system to an SNS topic that you also tell your CloudFormation stack to publish events into. V
- B. Use a long-poll on the ListStacksAPI call for your CloudFormation stack and display those state changes in the Ul for the system.
- C. Use a long-poll on the Resources object in your Cloud Formation stack and display those state changes in the Ul for the system.
- D. Subscribe your continuous delivery system to an SQS queue that you also tell your CloudFormation stack to publish events into.
Answer: A
Explanation:
Explanation
Answer - C
You can monitor the progress of a stack update by viewing the stack's events. The console's Cvents tab displays each major step in the creation and update of the stack sorted by the time of each event with latest events on top. The start of the stack update process is marked with an UPDATE_IN_PROGRCSS event for the stack For more information on Monitoring your stack, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/using-cfn-updating-stacks-monitor-st html
NEW QUESTION 64
What is the scope of an EC2 EIP?
- A. VPC
- B. Availability Zone
- C. Placement Group
- D. Region
Answer: D
Explanation:
An Elastic IP address is tied to a region and can be associated only with an instance in the same region.
Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/resources.html
NEW QUESTION 65
A DevOps Engineer is researching the least-expensive way to implement an image batch processing cluster in AWS. The application cannot run in Docker containers and must run on Amazon EC2. The batch job stores checkpoint data on a Network File System (NFS) and can tolerate interruptions. Configuring the cluster software from a bare EC2 Amazon Linux image takes 30 minutes.
Which is the MOST cost-effective solution?
- A. Use Amazon EFS for checkpoint data. Use EC2 Fleet to launch EC2 Spot Instances, and use user data to configure the EC2 Amazon Linux instance on startup.
- B. Use Amazon EFS for checkpoint data. To complete the job, use an EC2 Auto Scaling group and an On- Demand pricing model to provision EC2 instances temporarily.
- C. Use ClusterFS on EC2 instances for checkpoint data. To run the batch job, configure EC2 instances manually. When the job completes, shut down the instances manually.
- D. Use Amazon EFS for checkpoint data. Use EC2 Fleet to launch EC2 Spot Instances. Create a standard cluster AMI and use the latest AMI when creating instances.
Answer: D
NEW QUESTION 66
A DevOps Engineer needs to design and implement a backup mechanism for Amazon EFS. The Engineer is given the following requirements:
*The backup should run on schedule.
*The backup should be stopped if the backup window expires.
*The backup should be stopped if the backup completes before the backup window.
*The backup logs should be retained for further analysis.
The design should support highly available and fault-tolerant paradigms.
*Administrators should be notified with backup metadata.
Which design will meet these requirements?
- A. Use AWS CodePipeline with an Amazon CloudWatch Events rule for scheduling the start/stop of backup activity. Run backup scripts on Amazon EC2 in a single Availability Zone. Use Auto Scaling lifecycle hooks and the SSM Run Command on Amazon EC2 for uploading backup logs to Amazon S3.
Use Amazon SES to notify admins with backup activity metadata. - B. Use Amazon SWF with an Amazon CloudWatch Events rule for scheduling the start/stop of backup activity. Run backup scripts on Amazon EC2 in an Auto Scaling group. Use Auto Scaling lifecycle hooks and the SSM Run Command on EC2 for uploading backup logs to Amazon Redshift. Use CloudWatch Alarms to notify administrators with backup activity metadata.
- C. Use AWS Lambda with an Amazon CloudWatch Events rule for scheduling the start/stop of backup activity. Run backup scripts on Amazon EC2 in an Auto Scaling group. Use Auto Scaling lifecycle hooks and the SSM Run Command on EC2 for uploading backup logs to Amazon S3. Use Amazon SNS to notify administrators with backup activity metadata.
- D. Use AWS Data Pipeline with an Amazon CloudWatch Events rule for scheduling the start/stop of backup activity. Run backup scripts on Amazon EC2 in a single Availability Zone. Use Auto Scaling lifecycle hooks and the SSM Run Command on EC2 for uploading the backup logs to Amazon RDS.
Use Amazon SNS to notify administrators with backup activity metadata.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/efs/latest/ug/alternative-efs-backup.html
NEW QUESTION 67
A DevOps Engineer must track the health of a stateless RESTful service sitting behind a Classic Load Balancer. The deployment of new application revisions is through a Cl/CD pipeline. If the service's latency increases beyond a defined threshold, deployment should be stopped until the service has recovered.
Which of the following methods allow for the QUICKEST detection time?
- A. Use AWS CodeDeploy's MinimumHealthyHosts setting to define thresholds for rolling back deployments. If these thresholds are breached, roll back the deployment.
- B. Use Metric Filters to parse application logs in Amazon CloudWatch Logs. Create a filter for latency.
Alarm and stop deployment when latency increases beyond the defined threshold. - C. Use AWS Lambda and Elastic Load Balancing access logs to detect average latency. Alarm and stop deployment when latency increases beyond the defined threshold.
- D. Use Amazon CloudWatch metrics provided by Elastic Load Balancing to calculate average latency.
Alarm and stop deployment when latency increases beyond the defined threshold.
Answer: A
NEW QUESTION 68
A company is using AWS Organizations to create separate AWS accounts for each of its departments. It needs to automate the following tasks:
- Updating the Linux AMIs with new patches periodically and generating
a golden image
- Installing a new version of Chef agents in the golden image, if
available
- Enforcing the use of the newly generated golden AMIs in the
department's account
Which option requires the LEAST management overhead?
- A. Write a script to launch an Amazon EC2 instance from the previous golden AMI, apply the patch updates, install the new version of the Chef agent, generate a new golden AMI, and then modify the AMI permissions to share only the new image with the departments' accounts.
- B. Use AWS Systems Manager Automation to update the Linux AMI using the previous image, provide the URL for the script that will update the Chef agent, and then use AWS Organizations to replace the previous golden AMI into the departments' accounts.
- C. Use AWS Systems Manager Automation to update the Linux AMI from the previous golden image, provide the URL for the script that will update the Chef agent, and then share only the newly generated AMI with the departments' accounts.
- D. Use an AWS Systems Manager Run Command to update the Chef agent first, use Amazon EC2 Systems Manager Automation to generate an updated AMI, and then assume an IAM role to copy the new golden AMI into the departments' accounts.
Answer: D
NEW QUESTION 69
A company is hosting a web application in an AWS Region. For disaster recovery purposes, a second region is being used as a standby. Disaster recovery requirements state that session data must be replicated between regions in near-real time and 1% of requests should route to the secondary region to continuously verify system functionality. Additionally, if there is a disruption in service in the main region, traffic should be automatically routed to the secondary region, and the secondary region must be able to scale up to handle all traffic. How should a DevOps Engineer meet these requirements?
- A. In both regions, launch the application in Auto Scaling groups and use DynamoDB for session data. Use a Route 53 failover routing policy with health checks to distribute the traffic across the regions.
- B. In both regions, deploy the application on AWS Elastic Beanstalk and use Amazon DynamoDB global tables for session data. Use an Amazon Route 53 weighted routing policy with health checks to distribute the traffic across the regions.
- C. In both regions, deploy the application in AWS Lambda, exposed by Amazon API Gateway, and use Amazon RDS PostgreSQL with cross-region replication for session data. Deploy the web application with client-side logic to call the API Gateway directly.
- D. In both regions, launch the application in Auto Scaling groups and use DynamoDB global tables for session data. Enable an Amazon CloudFront weighted distribution across regions. Point the Amazon Route 53 DNS record at the CloudFront distribution.
Answer: A
NEW QUESTION 70
Your application uses Cloud Formation to orchestrate your application's resources. During your testing phase
before the application went live, your Amazon RDS instance type was changed and caused the instance to be
re-created, resulting In the loss of test data. How should you prevent this from occurring in the future?
- A. Within the AWS CloudFormation parameter with which users can select the Amazon RDS instance
type, set AllowedValues to only contain the current instance type. - B. Subscribe to the AWS CloudFormation notification "BeforeResourcellpdate," and call
CancelStackUpdate if the resource identified is the Amazon RDS instance. - C. In the AWS CloudFormation template, set the AWS::RDS::DBInstance's DBInstanceClass property to
be read-only. - D. Use an AWS CloudFormation stack policy to deny updates to the instance. Only allow UpdateStack
permission to 1AM principals that are denied SetStackPolicy. - E. Update the stack using ChangeSets
Answer: E
Explanation:
Explanation
When you need to update a stack, understanding how your changes will affect running resources before you
implement them can help you update stacks with confidence. Change sets allow you to preview how proposed
changes to a stack might impact your running resources, for example, whether your changes will delete or
replace any critical resources, AWS CloudFormation makes the changes to your stack only when you decide to
execute the change set, allowing you to decide whether to proceed with your proposed changes or explore
other changes by creating another change set
For example, you can use a change set to verify that AWS CloudFormation won't replace your stack's database
instances during an update.
NEW QUESTION 71
A company runs an application on Amazon EC2 instances behind an Application Load Balancer.
The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones in us- east1. The application stores data in an Amazon RDS MySQL Multi-AZ DB instance. A DevOps Engineer wants to modify the current solution and create a hot standby of the environment in another region to minimize downtime if a problem occurs in us-east-1. Which combination of steps should the DevOps Engineer take to meet these requirements? (Select THREE.)
- A. Extend the current Auto Scaling group to the subnets in the disaster recovery region.
- B. Create a new Application Load Balancer and Auto Scaling group in the disaster recovery region.
- C. Enable multi-region failover for the RDS configuration for the database instance.
- D. Deploy a read replica of the RDS instance in the disaster recovery region.
- E. Add a health check to the Amazon Route 53 alias record to evaluate the health of the primary region.
Use AWS Lambda, configured with an Amazon CloudWatch Events trigger, to elect the Amazon RDS master in the disaster recovery region. - F. Create an AWS Lambda function to evaluate the health of the primary region. If it fails, modify the Amazon Route 53 record to point at the disaster recovery region and elect the RDS master.
Answer: B,D,E
NEW QUESTION 72
An application has microservices spread across different AWS accounts and is integrated with an on-premises legacy system for some of its functionality. Because of the segmented architecture and missing logs, every time the application experiences issues, it is taking too long to gather the logs to identify the issues. A DevOps Engineer must fix the log aggregation process and provide a way to centrally analyze the logs.
Which is the MOST efficient and cost-effective solution?
- A. Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Use the Amazon S3 API to import on-premises logs. Store all logs in S3 buckets in individual accounts. Use Amazon Macie to write a query to search for the required specific event-related data point.
- B. Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Install a CloudWatch Logs agent for on-premises resources. Store all logs in an S3 bucket in a central account.
Set up an Amazon S3 trigger and an AWS Lambda function to analyze incoming logs and automatically identify anomalies. Use Amazon Athena to run ad hoc queries on the logs in the central account. - C. Collect system logs and application logs using the Amazon CloudWatch Logs agent. Install the CloudWatch Logs agent on the on-premises servers. Transfer all logs from AWS to the on-premises data center. Use an Amazon Elasticsearch Logstash Kibana stack to analyze logs on premises.
- D. Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Use the Amazon S3 API to export on-premises logs, and store the logs in an S3 bucket in a central account.
Build an Amazon EMR cluster to reduce the logs and derive the root cause.
Answer: C
NEW QUESTION 73
A publishing company used AWS Elastic Beanstalk, Amazon S3, and Amazon DynamoDB to develop a web application. The web application has increased dramatically in popularity, resulting in unpredictable spikes in traffic. A DevOps Engineer has noted that 90% of the requests are duplicate read requests. How can the Engineer improve the performance of the website?
- A. Use DynamoDB Accelerator to cache repeated read requests to DynamoDB and Amazon CloudFront to cache images stored in S3.
- B. Use DynamoDB Streams to cache repeated read requests to DynamoDB and API Gateway to cache images stored in S3.
- C. Use Amazon ElastiCache for Redis to cache repeated read requests to DynamoDB and AWS Elemental MediaStore to cache images stored in S3.
- D. Use Amazon ElastiCache for Memcached to cache repeated read requests to DynamoDB and Varnish to cache images stored in S3.
Answer: A
NEW QUESTION 74
A company has a website in an AWS Elastic Beanstalk load balancing and automatic scaling environment.
This environment has an Amazon RDS MySQL instance configured as its database resource. After a sudden increase in traffic, the website started dropping traffic. An administrator discovered that the application on some instances is not responding as the result of out-of-memory errors. Classic Load Balancer marked those instances as out of service, and the health status of Elastic Beanstalk enhanced health reporting is degraded.
However, Elastic Beanstalk did not replace those instances. Because of the diminished capacity behind the Classic Load Balancer, the application response times are slower for the customers.
Which action will permanently fix this issue?
- A. Change the setting for the Auto Scaling group health check from Amazon EC2 to Elastic Load Balancing, and increase the capacity of the group.
- B. Temporarily change the maximum number of instances in the Auto Scaling group to allow the group to support more traffic.
- C. Clone the Elastic Beanstalk environment. When the new environment is up, swap CNAME and terminate the earlier environment.
- D. Write a cron script for restraining the web server process when memory is full, and deploy it with AWS Systems Manager.
Answer: A
NEW QUESTION 75
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. 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.
- B. 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.
- 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. 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.
Answer: D
NEW QUESTION 76
You have defined a Linux based instance stack in Opswork. You now want to attach a database to the
Opswork stack. Which of the below is an important step to ensure that the application on the Linux instances
can communicate with the database
- A. Addthe appropriate driver packages to ensure the application can work with thedatabase
- B. Addthe appropriate driver packages to ensure the application can work with thedatabase
- C. Configuredatabase tags for theYou have defined a Linux based instance stack in Opswork. You now
want to attach a database to the Opswork stack. Which of the below is an important step to ensure that
the application on the Linux instances can communicate with the database - D. Configuredatabase tags for the Opswork application layerOpswork application layer
- E. ConfigureSSL so that the instance can communicate with the database
- F. ConfigureSSL so that the instance can communicate with the database
- G. Addanother stack with the database layer and attach it to the application stack.
- H. Addanother stack with the database layer and attach it to the application stack.
Answer: B
Explanation:
Explanation
The AWS documentation mentions the below point
Important
For Linux stacks, if you want to associate an Amazon RDS service layer with your app, you must add the
appropriate driver package to the associated app server layer,
as follows:
1. Click Layers in the navigation pane and open the app server's Recipes tab.
2. Click Edit and add the appropriate driver package to OS Packages. For example, you should specify mysql
if the layer contains Amazon Linux instances and mysql-client if the layer contains Ubuntu instances.
3. Save the changes and redeploy the app.
For
more information on Opswork app connectivity, please visit the below URL: http://docs.aws.a
mazon.com/opsworks/latest/userguide/workingapps-connectdb. htm I
NEW QUESTION 77
Your API requires the ability to stay online during AWS regional failures. Your API does not store any state, it only aggregates data from other sources - you do not have a database. What is a simple but effective way to achieve this uptime goal?
- A. Use a CloudFront distribution to serve up your API. Even if the region your API is in goes down, the edge locations CloudFront uses will be fine.
- B. Create a Route53 Weighted Round Robin record, and if one region goes down, have that region redirect to the other region.
- C. Use an ELB and a cross-zone ELB deployment to create redundancy across datacenters. Even if a region fails, the other AZ will stay online.
- D. Create a Route53 Latency Based Routing Record with Failover and point it to two identical deployments of your stateless API in two different regions. Make sure both regions use Auto Scaling Groups behind ELBs.
Answer: D
Explanation:
Latency Based Records allow request distribution when all is well with both regions, and the Failover component enables fallbacks between regions. By adding in the ELB and ASG, your system in the surviving region can expand to meet 100% of demand instead of the original fraction, whenever failover occurs.
http://docs.aws.amazon.com/Route53/latest/DeveloperGuide/dns-failover.html
NEW QUESTION 78
You need to migrate 10 million records in one hour into DynamoDB. All records are 1.5KB in size.
The data is evenly distributed across the partition key. How many write capacity units should you provision during this batch load?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
Explanation:
You need 2 units to make a 1.5KB write, since you round up. You need 20 million total units to perform this load. You have 3600 seconds to do so. Divide and round up for 5556.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ProvisionedT hroughp ut.html
NEW QUESTION 79
When deploying applications to Elastic Beanstalk, which of the following statements is false with regards to
application deployment
- A. Shouldnot exceed 512 MB in size
- B. Canbe a war file which can be deployed to the application server
- C. Theapplication can be bundled in a zip file
- D. Caninclude parent directories
Answer: D
Explanation:
Explanation
The AWS Documentation mentions
When you use the AWS Clastic Beanstalk console to deploy a new application or an application version, you'll
need to upload a source bundle. Your source bundle
must meet the following requirements:
Consist of a single ZIP file or WAR file (you can include multiple WAR files inside your ZIP file)
Not exceed 512 MB
Not include a parent folder or top-level directory (subdirectories are fine)
For more information on deploying applications to Clastic Beanstalk please see the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/appl
ications-sourcebundle.html
NEW QUESTION 80
There is a very serious outage at AWS. EC2 is not affected, but your EC2 instance deployment scripts
stopped working in the region with the outage. What might be the issue?
- A. The AWS Console is down, so your CLI commands do not work.
- B. S3 is unavailable, so you can't create EBS volumes from a snapshot you use to deploy new volumes.
- C. AWS turns off the <code>DeployCode</code> API call when there are major outages, to protect from
system floods. - D. None of the other answers make sense. If EC2 is not affected, it must be some other issue.
Answer: B
Explanation:
S3 stores all snapshots. If S3 is unavailable, snapshots are unavailable.
Amazon EC2 also uses Amazon S3 to store snapshots (backup copies) of the data volumes. You can use
snapshots for recovering data quickly and reliably in case of application or system failures. You can also
use snapshots as a baseline to create multiple new data volumes, expand the size of an existing data
volume, or move data volumes across multiple Availability Zones, thereby making your data usage highly
scalable. For more information about using data volumes and snapshots, see Amazon Elastic Block
Store.
Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AmazonS3.html
NEW QUESTION 81
You want to set up the CloudTrail Processing Library to log your bucket operations. Which command will build a .jar file from the CloudTrail Processing Library source code?
- A. jar install processor
- B. mvn clean install -Dgpg.skip=true
- C. build jar -Dgpg.processor
- D. mvn javac mvn -install processor
Answer: B
Explanation:
The CloudTrail Processing Library is a Java library that provides an easy way to process AWS CloudTrail logs in a fault-tolerant, scalable and flexible way. To set up the CloudTrail Processing Library, you first need to download CloudTrail Processing Library source from GitHub. You can then create the .jar file using this command.
Reference:
http://docs.aws.amazon.com/awscloudtrail/latest/userguide/use-the-cloudtrail-processing- library.html
NEW QUESTION 82
You are designing a system which needs, at a minimum, 8 m4.large instances operating to service traffic.
When designing a system for high availability in the us-east-1 region, which has 6 Availability Zones, your
company needs to be able to handle the death of a full availability zone. How should you distribute the servers,
to save as much cost as possible, assuming all of the EC2 nodes are properly linked to an ELB? Your VPC
account can utilize us-east-1's AZ's a through f, inclusive.
- A. 4 servers in each of AZ's a through conclusive.
- B. 2 servers in each of AZ's a through e, inclusive.
- C. 3 servers in each of AZ's a through d, inclusive.
B- 8 servers in each of AZ's a and b.
Answer: A
Explanation:
Explanation
The best way is to distribute the instances across multiple AZ's to get the best and avoid a disaster scenario.
With this scenario, you will always a minimum of more than 8 servers even if one AZ were to go down. Even
though A and D are also valid options, the best option when it comes to distribution is Option C.
For more information on High Availability and Fault tolerance, please refer to the below link:
* https://media.amazonwebservices.com/architecturecenter/AWS_ac_ra_ftha_04.pdf
NEW QUESTION 83
Which of the following credentials types are supported by AWSCodeCommit? Select 3 Options
- A. SSH Keys
- B. AWS Access Kevs
- C. Git Credentials
- D. User name/password
Answer: A,B,C
Explanation:
Explanation
The AWS documentation mentions
I AM supports AWS CodeCommit with three types of credentials:
* Git credentials, an 1AM -generated user name and password pair you can use to communicate with
AWS CodeCommit repositories over HTTPS.
* SSH keys, a locally generated public-private key pair that you can associate with your 1AM user to
communicate with AWS CodeCommit repositories over SSH.
AWS access keys, which you can use with the credential helper included with the AWS CLI to communicate
with AWS CodeCommit repositories over HTTPS.
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_crede ntials_ssh-keys.htm I
NEW QUESTION 84
A Solutions Architect has a multi-layer application running in Amazon VPC. The application has an ELB
Classic Load Balancer as the front end in a public subnet, and an Amazon EC2-based reverse proxy that
performs content-based routing to two backend Amazon EC2 instances hosted in a private subnet. The
Architect sees tremendous traffic growth and is concerned that the reverse proxy and current backend set up
will be insufficient.
Which actions should the Architect take to achieve a cost-effective solution that ensures the application
automatically scales to meet traffic demand? (Select two.)
- A. Add Auto Scaling to the Amazon EC2 reverse proxy layer.
- B. Replace the Amazon EC2 reverse proxy with an ELB internal Classic Load Balancer.
- C. Replace both the frontend and reverse proxy layers with an ELB Application Load Balancer.
- D. Use t2 burstable instance types for the backend fleet.
- E. Add Auto Scaling to the Amazon EC2 backend fleet.
Answer: B,E
NEW QUESTION 85
You have an application running on Amazon EC2 in an Auto Scaling group. Instances are being bootstrapped dynamically, and the bootstrapping takes over 15 minutes to complete.
You find that instances are reported by Auto Scaling as being In Service before bootstrapping has completed.
You are receiving application alarms related to new instances before they have completed bootstrapping, which is causing confusion.
You find the cause: your application monitoring tool is polling the Auto Scaling Service API for instances that are In Service, and creating alarms for new previously unknown instances.
Which of the following will ensure that new instances are not added to your application monitoring tool before bootstrapping is completed?
- A. Tag all instances on launch to identify that they are in a pending state.
Change your application monitoring tool to look for this tag before adding new instances, and the use the Amazon API to set the instance state to 'pending' until bootstrapping is complete. - B. Increase the desired number of instances in your Auto Scaling group configuration to reduce the time it takes to bootstrap future instances.
- C. Use the default Amazon CloudWatch application metrics to monitor your application's health.
Configure an Amazon SNS topic to send these CloudWatch alarms to the correct recipients. - D. Create an Auto Scaling group lifecycle hook to hold the instance in a pending: wait state until your bootstrapping is complete.
Once bootstrapping is complete, notify Auto Scaling to complete the lifecycle hook and move the instance into a pending: complete state.
Answer: D
NEW QUESTION 86
......
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