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NEW QUESTION 39
A Solutions Architect designed a real-time data analytics system based on Kinesis Data Stream and Lambda. A week after the system has been deployed, the users noticed that it performed slowly as the data rate increases. The Architect identified that the performance of the Kinesis Data Streams is causing this problem.
Which of the following should the Architect do to improve performance?

• A. Replace the data stream with Amazon Kinesis Data Firehose instead.
• B. Improve the performance of the stream by decreasing the number of its shards using the MergeShard command.
• C. Increase the number of shards of the Kinesis stream by using the UpdateShardCount command.
• D. Implement Step Scaling to the Kinesis Data Stream.

Answer: C

Explanation:
Amazon Kinesis Data Streams supports resharding, which lets you adjust the number of shards in your stream to adapt to changes in the rate of data flow through the stream. Resharding is considered an advanced operation.
There are two types of resharding operations: shard split and shard merge. In a shard split, you divide a single shard into two shards. In a shard merge, you combine two shards into a single shard. Resharding is always pairwise in the sense that you cannot split into more than two shards in a single operation, and you cannot merge more than two shards in a single operation. The shard or pair of shards that the resharding operation acts on are referred to as parent shards. The shard or pair of shards that result from the resharding operation are referred to as child shards.

Splitting increases the number of shards in your stream and therefore increases the data capacity of the stream. Because you are charged on a per-shard basis, splitting increases the cost of your stream.
Similarly, merging reduces the number of shards in your stream and therefore decreases the data capacity-and cost-of the stream.
If your data rate increases, you can also increase the number of shards allocated to your stream to maintain the application performance. You can reshard your stream using the UpdateShardCount API.
The throughput of an Amazon Kinesis data stream is designed to scale without limits via increasing the number of shards within a data stream. Hence, the correct answer is to increase the number of shards of the Kinesis stream by using the UpdateShardCount command.
Replacing the data stream with Amazon Kinesis Data Firehose instead is incorrect because the throughput of Kinesis Firehose is not exceptionally higher than Kinesis Data Streams. In fact, the throughput of an Amazon Kinesis data stream is designed to scale without limits via increasing the number of shards within a data stream.
Improving the performance of the stream by decreasing the number of its shards using the MergeShard command is incorrect because merging the shards will effectively decrease the performance of the stream rather than improve it.
Implementing Step Scaling to the Kinesis Data Stream is incorrect because there is no Step Scaling feature for Kinesis Data Streams. This is only applicable for EC2. References:
https://aws.amazon.com/blogs/big-data/scale-your-amazon-kinesis-stream-capacity-with-updateshardco unt/
https://aws.amazon.com/kinesis/data-streams/faqs/
https://docs.aws.amazon.com/streams/latest/dev/kinesis-using-sdk-java-resharding.html Check out this Amazon Kinesis Cheat Sheet:
https://tutorialsdojo.com/amazon-kinesis/

NEW QUESTION 40
A company developed a financial analytics web application hosted in a Docker container using MEAN (MongoDB, Express.js, AngularJS, and Node.js) stack. You want to easily port that web application to AWS Cloud which can automatically handle all the tasks such as balancing load, auto- scaling, monitoring, and placing your containers across your cluster.
Which of the following services can be used to fulfill this requirement?

• A. AWS Compute Optimizer
• B. AWS Elastic Beanstalk
• C. AWS CloudFormation
• D. Amazon Elastic Container Service (Amazon ECS)

Answer: B

Explanation:
AWS Elastic Beanstalk supports the deployment of web applications from Docker containers. With Docker containers, you can define your own runtime environment. You can choose your own platform, programming language, and any application dependencies (such as package managers or tools), that aren't supported by other platforms. Docker containers are self-contained and include all the configuration information and software your web application requires to run.

By using Docker with Elastic Beanstalk, you have an infrastructure that automatically handles the details of capacity provisioning, load balancing, scaling, and application health monitoring. You can manage your web application in an environment that supports the range of services that are integrated with Elastic Beanstalk, including but not limited to VPC, RDS, and IAM. Hence, the correct answer is: AWS Elastic Beanstalk.
Amazon Elastic Container Service (Amazon ECS) is incorrect. Although it also provides Service Auto Scaling, Service Load Balancing, and Monitoring with CloudWatch, these features are not automatically enabled by default unlike with Elastic Beanstalk. Take note that the scenario requires a service that will automatically handle all the tasks such as balancing load, auto-scaling, monitoring, and placing your containers across your cluster. You will have to manually configure these things if you wish to use ECS.
With Elastic Beanstalk, you can manage your web application in an environment that supports the range of services easier.
AWS CloudFormation is incorrect. While you can deploy the infrastructure for your application thru CloudFormation templates, you will be the one responsible for connecting the AWS resources needed to build your application environment. With ElasticBeanstalk, all you have to do is upload your code; ElasticBeanstalk will automatically set up the environment for your application.
AWS Compute Optimizer is incorrect. Compute Optimizer simply analyzes your workload and recommends the optimal AWS resources needed to improve performance and reduce costs.
Explanation:
Reference:
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create_deploy_docker.html Check out this AWS Elastic Beanstalk Cheat Sheet:
https://tutorialsdojo.com/aws-elastic-beanstalk/
AWS Elastic Beanstalk Overview:
https://youtu.be/rx7e7Fej1Oo
Elastic Beanstalk vs CloudFormation vs OpsWorks vs CodeDeploy: https://tutorialsdojo.com/elastic- beanstalk-vs-cloudformation-vs-opsworks-vs-codedeploy/ Comparison of AWS Services Cheat Sheets:
https://tutorialsdojo.com/comparison-of-aws-services/

NEW QUESTION 41
A company recently launched an e-commerce application that is running in eu-east-2 region, which strictly requires six EC2 instances running at all times. In that region, there are 3 Availability Zones (AZ) that you can use - eu-east-2a, eu-east-2b, and eu-east-2c.
Which of the following deployments provide 100% fault tolerance if any single AZ in the region becomes unavailable? (Select TWO.)

• A. eu-east-2a with three EC2 instances, eu-east-2b with three EC2 instances, and eu-east-2c with three EC2 instances
• B. eu-east-2a with six EC2 instances, eu-east-2b with six EC2 instances, and eu-east-2c with no EC2 instances
• C. eu-east-2a with four EC2 instances, eu-east-2b with two EC2 instances, and eu-east-2c with two EC2 instances
• D. eu-east-2a with two EC2 instances, eu-east-2b with two EC2 instances, and eu-east-2c with two EC2 instances
• E. eu-east-2a with two EC2 instances, eu-east-2b with four EC2 instances, and eu-east-2c with two EC2 instances

Answer: A,B

Explanation:
Fault Tolerance is the ability of a system to remain in operation even if some of the components used to build the system fail. In AWS, this means that in the event of server fault or system failures, the number of running EC2 instances should not fall below the minimum number of instances required by the system for it to work properly. So if the application requires a minimum of 6 instances, there should be at least 6 instances running in case there is an outage in one of the Availability Zones or if there are server issues.


In this scenario, you have to simulate a situation where one Availability Zone became unavailable for each option and check whether it still has 6 running instances.
Hence, the correct answers are: eu-east-2a with six EC2 instances, eu-east-2b with six EC2 instances, and eu-east-2c with no EC2 instances and eu-east-2a with three EC2 instances, eu-east-2b with three EC2 instances, and eu-east-2c with three EC2 instances because even if one of the availability zones were to go down, there would still be 6 active instances.
Reference:
https://media.amazonwebservices.com/AWS_Building_Fault_Tolerant_Applications.pdf

NEW QUESTION 42
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