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Customizable Amazon AWS-DevOps-Engineer-Professional Practice Exam
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Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) certification exam is a challenging but rewarding certification for professionals looking to take their AWS DevOps knowledge to the next level. With the increasing demand for DevOps professionals in the industry, this certification can help you stand out from the crowd and advance your career in the field of AWS DevOps.
Achieving the Amazon DOP-C01 certification can open up new career opportunities for professionals in the DevOps field. It can demonstrate to employers that a candidate has the skills and knowledge necessary to design, deploy, and operate applications and infrastructure on the AWS platform. Additionally, it can help professionals increase their earning potential and gain recognition within the industry.
The AWS Certified DevOps Engineer - Professional Certification Exam consists of 75 multiple-choice questions, and candidates have 180 minutes to complete the exam. AWS-DevOps-Engineer-Professional Exam is available in English, Japanese, Korean, and Simplified Chinese. AWS-DevOps-Engineer-Professional exam fee is $300, and candidates can take the exam at any of the authorized testing centers or through online proctoring.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q416-Q421):
NEW QUESTION # 416
You have a web application that is currently running on a three M3 instances in three AZs. You have an Auto
Scaling group configured to scale from three to thirty instances. When reviewing your Cloud Watch metrics,
you see that sometimes your Auto Scalinggroup is hosting fifteen instances. The web application is reading
and writing to a DynamoDB-configured backend and configured with 800 Write Capacity Units and 800 Read
Capacity Units. Your DynamoDB Primary Key is the Company ID. You are hosting 25 TB of data in your
web application. You have a single customer that is complaining of long load times when their staff arrives at
the office at 9:00 AM and loads the website, which consists of content that is pulled from DynamoDB. You
have other customers who routinely use the web application. Choose the answer that will ensure high
availability and reduce the customer's access times.
- A. Implementan Amazon SQS queue between your DynamoDB database layer and the webapplication
layer to minimize the large burst in traffic the customergenerateswhen everyone arrives at the office at
9:00AM and begins accessing the website. - B. Doublethe number of Read Capacity Units in your DynamoDB instance because theinstance is probably
being throttled when the customer accesses the website andyour web application. - C. Changeyour Auto Scalinggroup configuration to use Amazon C3 instance types, becausethe web
application layer is probably running out of compute capacity. - D. Adda caching layer in front of your web application by choosing ElastiCacheMemcached instances in
one of the AZs. - E. Usedata pipelines to migrate your DynamoDB table to a new DynamoDB table with aprimary key that is
evenly distributed across your dataset. Update your webappl ication to request data from the new table
Answer: E
Explanation:
Explanation
The AWS documentation provide the following information on the best performance for DynamoDB tables
The optimal usage of a table's provisioned throughput depends on these factors: The primary key selection.
The workload patterns on individual items. The primary key uniquely identifies each item in a table. The
primary key can be simple (partition key) or composite (partition key and sort key). When it stores data,
DynamoDB divides a table's items into multiple partitions, and distributes the data primarily based upon the
partition key value. Consequently, to achieve the full amount of request throughput you have provisioned for a
table, keep your workload spread evenly across the partition key values. Distributing requests across partition
key values distributes the requests across partitions. For more information on DynamoDB best practises please
visit the link:
* http://docs.aws.a
mazon.com/amazondynamodb/latest/developerguide/Guide I inesForTables.htm I
Note: One of the AWS forumns is explaining the steps for this process in detail. Based on that, while
importing data from S3 using datapipeline to a new table in dynamodb we can create a new index.
Please find the steps given below.
NEW QUESTION # 417
A production account has a requirement that any Amazon EC2 instance that has been logged into manually must be terminated within 24 hours. All applications in the production account are using Auto Scaling groups with Amazon CloudWatch Logs agent configured.
How can this process be automated?
- A. Create a CloudWatch Logs subscription in an AWS Lambda function. Configure the function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned.
Create a CloudWatch Events rule to trigger a daily Lambda function that terminates all instances with this tag. - B. Create a CloudWatch alarm that will trigger on the login event. Configure the alarm to send to an Amazon SQS queue. Use a group of worker instances to process messages from the queue, which then schedules the Amazon CloudWatch Events rule to trigger.
- C. Create a CloudWatch alarm that will trigger on the login event. Send the notification to an Amazon SNS topic that the Operations team is subscribed to, and have them terminate the EC2 instance within 24 hours.
- D. Create a CloudWatch Logs subscription to an AWS Step Functions application. Configure the function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned. Then create a CloudWatch Events rule to trigger a second AWS Lambda function once a day that will terminate all instances with this tag.
Answer: A
Explanation:
https://boto3.amazonaws.com/v1/documentation/api/latest/guide/cw-example-subscription- filters.html
NEW QUESTION # 418
You work for an insurance company and are responsible for the day-to-day operations of your company's online quote system used to provide insurance quotes to members of the public.
Your company wants to use the application logs generated by the system to better understand customer behavior.
Industry, regulations also require that you retain all application logs for the system indefinitely in order to investigate fraudulent claims in the future.
You have been tasked with designing a log management system with the following requirements:
- All log entries must be retained by the system, even during unplanned instance failure.
- The customer insight team requires immediate access to the logs from
the past seven days.
- The fraud investigation team requires access to all historic logs,
but will wait up to 24 hours before these logs are available.
How would you meet these requirements in a cost-effective manner? Choose 3 answers
- A. Create an Amazon S3 lifecycle configuration to move log files from Amazon S3 to Amazon Glacier after seven days.
- B. Configure your application to write logs to the instance's default Amazon EBS boot volume, because this storage already exists.
Create a script that moves the logs from the instance to Amazon 53 once an hour. - C. Create a housekeeping script that runs on a T2 micro instance managed by an Auto Scaling group for high availability.
The script uses the AWS API to identify any unattached Amazon EBS volumes containing log files.
Your housekeeping script will mount the Amazon EBS volume, upload all logs to Amazon S3, and then delete the volume. - D. Configure your application to write logs to a separate Amazon EBS volume with the "delete on termination" field set to false.
Create a script that moves the logs from the instance to Amazon S3 once an hour. - E. Configure your application to write logs to the instance's ephemeral disk, because this storage is free and has good write performance.
Create a script that moves the logs from the instance to Amazon 53 once an hour. - F. Write a script that is configured to be executed when the instance is stopped or terminated and that will upload any remaining logs on the instance to Amazon S3.
Answer: A,C,D
NEW QUESTION # 419
A healthcare company has a critical application running in AWS. Recently, the company experienced some down time. if it happens again, the company needs to be able to recover its application in another AWS Region. The application uses Elastic Load Balancing and Amazon EC2 instances. The company also maintains a custom AMI that contains its application. This AMI is changed frequently.
The workload is required to run in the primary region, unless there is a regional service disruption, in which case traffic should fail over to the new region. Additionally, the cost for the second region needs to be low. The RTO is 2 hours.
Which solution allows the company to fail over to another region in the event of a failure, and also meet the above requirements?
- A. Maintain a copy of the AMI from the main region in the backup region. Create an Auto Scaling group with one instance using a launch configuration that contains the copied AMI. Use an Amazon Route 53 record to direct traffic to the load balancer in the backup region in the event of failure, as required. Allow the Auto Scaling group to scale out as needed during a failure.
- B. Place the AMI in a replicated Amazon S3 bucket. Generate an AWS Lambda function that can create a launch configuration and assign it to an already created Auto Scaling group. Have one instance in this Auto Scaling group ready to accept traffic. Trigger the Lambda function in the event of a failure. Use an Amazon Route 53 record and modify it with the same Lambda function to point to the load balancer in the backup region.
- C. Automate the copying of the AMI to the backup region. Create an AWS Lambda function that can create a launch configuration and assign it to an already created Auto Scaling group. Set the Auto Scaling group maximum size to 0 and only increase it with the Lambda function during a failure. Trigger the Lambda function in the event of a failure. Use an Amazon Route 53 record and modify it with the same Lambda function to point to the load balancer in the backup region.
- D. Automate the copying of the AMI in the main region to the backup region. Generate an AWS Lambda function that will create an EC2 instance from the AMI and place it behind a load balancer. Using the same Lambda function, point the Amazon Route 53 record to the load balancer in the backup region. Trigger the Lambda function in the event of a failure.
Answer: B
NEW QUESTION # 420
You have an application which consists of EC2 instances in an Auto Scaling group. Between a particular time frame every day, there is an increase in traffic to your website. Hence users are complaining of a poor response time on the application. You have configured your Auto Scaling group to deploy one new EC2 instance when CPU utilization is greater than 60% for 2 consecutive periods of 5 minutes. What is the least cost-effective way to resolve this problem?
- A. Decrease the threshold CPU utilization percentage at which to deploy a new instance
- B. Decrease the collection period to ten minutes
- C. Decrease the consecutive number of collection periods
- D. Increase the minimum number of instances in the Auto Scaling group
Answer: D
Explanation:
If you increase the minimum number of instances, then they will be running even though the load is not high on the website. Hence you are incurring cost even though there is no need.
All of the remaining options are possible options which can be used to increase the number of instances on a high load.
For more information on On-demand scaling, please refer to the below link:
http://docs.aws.amazon.com/autoscaling/latest/userguide/as-scale-based-on-demand. html Note: The tricky part where the question is asking for 'least cost effective way". You got the design consideration correctly but need to be careful on how the question is phrased.
NEW QUESTION # 421
......
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