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NEW QUESTION 26
A company is using an AWS CloudFormation template to deploy web applications. The template requires that manual changes be made for each of the three major environments: production, staging, and development. The current sprint includes the new implementation and configuration of AWS CodePipeline for automated deployments.
What changes should the DevOps Engineer make to ensure that the CloudFormation template is reusable across multiple pipelines?

• A. Use a CloudFormation custom resource to query the status of the CodePipeline to determine which environment is launched. Dynamically alter the launch configuration of the Amazon EC2 instances.
• B. Set up a CodePipeline pipeline for each environment to use input parameters. Use CloudFormation mappings to switch associated UserData for the Amazon EC2 instances to match the environment being launched.
• C. Set up a CodePipeline pipeline that has multiple stages, one for each development environment.
  Use AWS Lambda functions to trigger CloudFormation deployments to dynamically alter the UserData of the Amazon EC2 instances launched in each environment.
• D. Use CloudFormation input parameters to dynamically alter the LaunchConfiguration and UserData sections of each Amazon EC2 instance every time the CloudFormation stack is updated.

Answer: C

NEW QUESTION 27
Which of the following tools does not directly support AWS OpsWorks, for monitoring your stacks?

• A. AWS CloudTrail
• B. Amazon CloudWatch Metrics
• C. Amazon CloudWatch Logs
• D. AWS Config

Answer: D

Explanation:
You can monitor your stacks in the following ways: AWS OpsWorks uses Amazon CloudWatch to provide thirteen custom metrics with detailed monitoring for each instance in the stack; AWS OpsWorks integrates with AWS CloudTrail to log every AWS OpsWorks API call and store the data in an Amazon S3 bucket; You can use Amazon CloudWatch Logs to monitor your stack's system, application, and custom logs.
Reference:
http://docs.aws.amazon.com/opsworks/latest/userguide/monitoring.html

NEW QUESTION 28
You need to perform ad-hoc business analytics queries on well-structured data. Data comes in constantly at a
high velocity. Your business intelligence team can understand SQL. What AWS service(s) should you look to
first?

• A. EMR running Apache Spark
• B. Kinesis Firehose+RedShift
• C. EMR using Hive
• D. Kinesis Firehose + RDS

Answer: B

Explanation:
Explanation
Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture, transform, and
load streaming data into Amazon Kinesis
Analytics, Amazon S3, Amazon Redshift, and Amazon Oasticsearch Sen/ice, enabling near real-time analytics
with existing business intelligence tools and
dashboards you're already using today. It is a fully managed service that automatically scales to match the
throughput of your data and requires no ongoing
administration. It can also batch, compress, and encrypt the data before loading it, minimizing the amount of
storage used at the destination and increasing security.
For more information on Kinesis firehose, please visit the below URL:
* https://aws.amazon.com/kinesis/firehose/
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with
just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to
acquire new insights for your business and customers. For more information on Redshift, please visit the
below URL:
* http://docs.aws.amazon.com/redshift/latest/mgmt/wel
come.html

NEW QUESTION 29
An Engineering team manages a Node.js e-commerce application. The current environment consists of the following components:
* Amazon S3 buckets for storing content
* Amazon EC2 for the front-end web servers
* AWS Lambda for executing image processing
* Amazon DynamoDB for storing session-related data
The team expects a significant increase in traffic to the site. The application should handle the additional load without interruption. The team ran initial tests by adding new servers to the EC2 front-end to handle the larger load, but the instances took up to 20 minutes to become fully configured. The team wants to reduce this configuration time.
What changes will the Engineering team need to implement to make the solution the MOST resilient and highly available while meeting the expected increase in demand?

• A. Configure Amazon CloudFront and have its origin point to Amazon S3 to host the web application.
  Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the CloudFront DNS name.
• B. Use AWS Elastic Beanstalk with a custom AMI including all web components. Deploy the platform by using an Auto Scaling group behind an Application Load Balancer across multiple Availability Zones. Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the Elastic Beanstalk load balancer.
• C. Use AWS OpsWorks to automatically configure each new EC2 instance as it is launched. Configure the EC2 instances by using an Auto Scaling group behind an Application Load Balancer across multiple Availability Zones. Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the Application Load Balancer.
• D. Deploy a fleet of EC2 instances, doubling the current capacity, and place them behind an Application Load Balancer. Increase the Amazon DynamoDB read and write capacity units. Add an alias record that contains the Application Load Balancer endpoint to the existing Amazon Route 53 DNS record that points to the application.

Answer: B

Explanation:
Explanation/Reference:

NEW QUESTION 30
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