Question 1

A Development team wants to run their container workloads on Amazon ECS. Each application container needs to share data with another container to collect logs and metrics.

What should the Development team do to meet these requirements?

Options :

A : Create two pod specifications. Make one to include the application container and the other to include the other container. Link the two pods together

B : Create one task definition. Specify both containers in the definition. Mount a shared volume between those two containers

C : Create a single pod specification. Include both containers in the specification. Mount a persistent volume to both containers

D : Create two task definitions. Make one to include the application container and the other to include the other container. Mount a shared volume between the two tasks

Answer: B

Question 2

A company's application has an AWS Lambda function that processes messages from loT devices. The company wants to monitor the Lambda function to ensure that the Lambda function is meeting its required service level agreement (SLA). A developer must implement a solution to determine the application's throughput in near real time. The throughput must be based on the number of messages that the Lambda function receives and processes in a given time period. The Lambda function performs initialization and post-processing steps that must not factor into the throughput measurement. What should the developer do to meet these requirements?

Options :

A : Use the Lambda function-s ConcurrentExecutions metric in Amazon CloudWatch to measure the throughput.

B : Modify the application to log the calculated throughput to Amazon CloudWatch Logs. Use Amazon EventBridge to invoke a separate Lambda function to process the logs on a schedule.

C : Modify the application to publish custom Amazon CloudWatch metrics when the Lambda function receives and processes each message. Use the metrics to calculate the throughput.

D : Use the Lambda function-s Invocations metric and Duration metric to calculate the throughput in Amazon CloudWatch.

Answer: C

Question 3

A development team maintains a web application by using a single AWS CloudFormation template. The template defines web servers and an Amazon RDS database. The team uses the Cloud Formation template to deploy the Cloud Formation stack to different environments. During a recent application deployment, a developer caused the primary development database to be dropped and recreated. The result of this incident was a loss of data. The team needs to avoid accidental database deletion in the future. Which solutions will meet these requirements? (Choose two.)

Options :

A : Add a CloudFormation Deletion Policy attribute with the Retain value to the database resource.

B : Update the CloudFormation stack policy to prevent updates to the database.

C : Modify the database to use a Multi-AZ deployment.

D : Create a CloudFormation stack set for the web application and database deployments.

E : Add a Cloud Formation DeletionPolicy attribute with the Retain value to the stack.

Answer: A,B

Question 4

A company has several AWS accounts used by different departments. Developers use the same CloudFormation template to deploy an application across accounts. What can the developers use to deploy and manage the application with the LEAST operational effort?

Options :

A : Create a CloudFormation Stack in an administrator account and use StackSets to update the stacks across multiple accounts

B : Create a CloudFormation Stack in an administrator account and use CloudFormation Change Sets to modify stacks across multiple accounts

C : Migrate the application into an Elastic Beanstalk environment that is shared between multiple accounts

D : Synchronize the applications in multiple accounts using AWS AppSync

Answer: A

Question 5

An online sales company is developing a serverless application that runs on AWS. The application uses an AWS Lambda function that calculates order success rates and stores the data in an Amazon DynamoDB table. A developer wants an efficient way to invoke the Lambda function every 15 minutes.

Which solution will meet this requirement with the LEAST development effort?

Options :

A : Create an Amazon EventBridge rule that has a rate expression that will run the rule every 15 minutes. Add the Lambda function as the target of the EventBridge rule.

B : Create an AWS Systems Manager document that has a script that will invoke the Lambda function on Amazon EC2. Use a Systems Manager Run Command task to run the shell script every 15 minutes.

C : Create an AWS Step Functions state machine. Configure the state machine to invoke the Lambda function execution role at a specified interval by using a Wait state. Set the interval to 15 minutes.

D : Provision a small Amazon EC2 instance. Set up a cron job that invokes the Lambda function every 15 minutes.

Answer: A

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