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AWS Certified DevOps Engineer - Professional (DOP-C01)問題集を今すぐダウンロード
質問 53
Your social media marketing application has a component written in Ruby running on AWS Elastic Beanstalk.
This application component posts messages to social media sites in support of various marketing campaigns.
Your management now requires you to record replies to these social media messages to analyze the effectiveness of the marketing campaign in comparison to past and future efforts. You've already developed a new application component to interface with the social media site APIs in order to read the replies. Which process should you use to record the social media replies in a durable data store that can be accessed at any time for analytics of historical data?
- A. Deploythe new application component as an Elastic Beanstalk application, read thedata from the social media sites, store it in DynamoDB, and use Apache Hivewith Amazon Elastic MapReduce for analytics.
- B. Deploythe new application component in an Auto Scaling group of Amazon EC2 instances,read the data from the social media sites, store it with Amazon Elastic BlockStore, and use AWS Data Pipeline to publish it to Amazon Kinesis for analytics.
- C. Deploythe new application component in an Auto Scaling group of Amazon EC2 instances,read the data from the social media sites, store it in Amazon Glacier, and useAWS Data Pipeline to publish it to Amazon RedShift for analytics.
- D. Deploythe new application component as an Amazon Elastic Beanstalk application, readthe data from the social media site, store it with Amazon Elastic Block store,and use Amazon Kinesis to stream the data to Amazon Cloud Watch for analytics
正解: A
解説:
Explanation
The AWS Documentation mentions the below
Amazon DynamoDB is a fast and flexible NoSQL database sen/ice for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models. Its flexible data model, reliable performance, and automatic scaling of throughput capacity, makes it a great fit for mobile, web, gaming, ad tech, loT, and many other applications.
For more information on AWS DynamoDB please see the below link:
* https://aws.amazon.com/dynamodb/
質問 54
A company has a legacy application running on AWS. The application can only run on one Amazon EC2 instance at a time. Application metadata is stored in Amazon S3 and must be retrieved if the instance is restarted. The instance should be automatically restarted or relaunched if performance degrades.
Which solution will satisfy these requirements?
- A. Use AWS CloudFormation to create an EC2 instance that includes the user-data property for the EC2 resource. Add a command in user-data to retrieve the application metadata from Amazon S3.
- B. Use the auto healing feature in AWS OpsWorks to stop and start the EC2 instance. Use a lifecycle event in OpsWorks to pull the data from Amazon S3 and update it on the instance.
- C. Create an Amazon CloudWatch alarm to monitor the EC2 instance. When the StatusCheckFailed system alarm is triggered, use the recover action to stop and start the instance. Use a trigger in Amazon S3 to push the metadata to the instance when it is back up and running.
- D. Use the Auto Recovery feature in Amazon EC2 to automatically stop and start the EC2 instance in case of a failure. Use a trigger in Amazon S3 to push the metadata to the instance when it is back up and running.
正解: A
解説:
Explanation/Reference: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/deploying.applications.html
質問 55
Company policies require that information about IP traffic going between instances in the production Amazon VPC is captured. The capturing mechanism must always be enabled and the Security team must be notified when any changes in configuration occur.
What should be done to ensure that these requirements are met?
- A. Configure a new trail using AWS CloudTrail service. Using the UserData section of an AWS CloudFormation template, install tcpdump on every provisioned Amazon EC2 instance. Connect Amazon Athena to the CloudTrail and write an AWS Lambda function that monitors for a flow log disable event. Once the CloudTrail entry has been spotted, alert the security organization.
- B. Using the UserData section of an AWS CloudFormation template, install tcpdump on every provisioned Amazon EC2 instance. The output of the tool is sent to Amazon EFS for aggregation and querying. In addition, scheduling an Amazon CloudWatch Events rule calls an AWS Lambda function to check whether tcpdump is up and running and sends an email to the security organization when there is an exception.
- C. Create a flow log for the production VPC and assign an Amazon S3 bucket as a destination for delivery. Using Amazon S3 Event Notification, set up an AWS Lambda function that is triggered when a new log file gets delivered. This Lambda function updates an entry in Amazon DynamoDB, which is periodically checked by scheduling an Amazon CloudWatch Events rule to notify security when logs have not arrived.
- D. Create a flow log for the production VPC. Create a new rule using AWS Config that is triggered by configuration changes of resources of type `EC2:VPC'. As part of configuring the rule, create an AWS Lambda function that looks up flow logs for a given VPC. If the VPC flow logs are not configured, return a `NON_COMPLIANT' status and notify the security organization.
正解: D
質問 56
You have been asked to handle a large data migration from multiple Amazon RDS MySQL instances to a DynamoDB table.
You have been given a short amount of time to complete the data migration.
What will allow you to complete this complex data processing workflow?
- A. Write a bash script to run on your Amazon RDS instance that will export data into DynamoDB.
- B. Write a script in your language of choice, install the script on an Amazon EC2 instance, and then use Auto Scaling groups to ensure that the latency of the migration pipelines never exceeds four seconds in any 15- minute period.
- C. Create an Amazon Kinesis data stream, pipe in all of the Amazon RDS data, and direct the data toward a DynamoDB table.
- D. Create a data pipeline to export Amazon RDS data and import the data into DynamoDB.
正解: D
質問 57
A company is migrating an application to AWS that runs on a single Amazon EC2 instance.
Because of licensing limitations, the application does not support horizontal scaling. The application will be using Amazon Aurora for its database.
How can the DevOps Engineer architect automated healing to automatically recover from EC2 and Aurora failures, in addition to recovering across Availability Zones (AZs), in the MOST cost- effective manner?
- A. Create an EC2 instance and enable instance recovery. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance if the primary database instance fails.
- B. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to start a new EC2 instance in an available AZ when the instance status reaches a failure state. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance when the primary database instance fails.
- C. Create an EC2 Auto Scaling group with a minimum and maximum instance count of 1, and have it span across AZs. Use a single-node Aurora instance.
- D. Assign an Elastic IP address on the instance. Create a second EC2 instance in a second AZ.
Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to move the Elastic IP address to the second instance when the first instance fails. Use a single-node Aurora instance.
正解: B
質問 58
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