Practice Test

Serverless workflows are infrastructure-based tasks that are dependent on physical servers dedicated to their processes.

  • True
  • False

Answer: False

Explanation: Serverless workflows are a cloud-based solution. They are not dependent on any physical infrastructure as they execute on virtual servers, maintained by third-party providers.

AWS Step Functions is a service that is designed to provide serverless workflows.

  • True
  • False

Answer: True

Explanation: AWS Step Functions is one such service provided by Amazon Web Services, its primary purpose is to enable seamless management and coordination of distributed applications and microservices using serverless workflows.

AWS Step Functions supports both sequential and parallel execution of Lambda functions.

  • True
  • False

Answer: True

Explanation: AWS Step Functions supports sequence, choice (branching logic), parallel, and error handling steps facilitating the execution of complex, multi-step applications as a series of steps.

AWS Lambda is a service that supports serverless architectures.

  • True
  • False

Answer: True

Explanation: AWS Lambdas are functions that aren’t tied to an application, allowing developers to focus on writing code rather than maintaining physical or virtual infrastructure.

Serverless workflows provide benefits including cost-effectiveness, scalability, and decreased time for market deployment.

  • True
  • False

Answer: True

Explanation: Serverless workflows are typically charged on usage rather than pre-purchased compute power, they scale nearly limitless and automatically, they manage server and operating system operations behind the scenes, significantly decreasing time-to-market.

In a serverless architecture, tasks such as capacity provisioning and patch management are managed by the user.

  • True
  • False

Answer: False

Explanation: One of the benefits of serverless architecture is that the service provider manages tasks like capacity provisioning, patch management, and fault tolerance.

Which of the following AWS services is not a serverless service?

  • AWS Lambda
  • AWS DynamoDB
  • Amazon EC2
  • AWS Step Functions

Answer: Amazon EC2

Explanation: Amazon EC2 (Elastic Compute Cloud) is a web service that provides resizable compute capacity, and it requires manual scaling, unlike the mentioned serverless services.

AWS Fargate is used for serverless deployment of Docker containers.

  • True
  • False

Answer: True

Explanation: AWS Fargate is a serverless compute engine for containers and works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS), making it easier to deploy, run, and scale containerized applications.

AWS Step Functions cannot work in conjunction with Amazon S

  • True
  • False

Answer: False

Explanation: AWS Step Functions can work together with various AWS services, including Amazon S3 to create sophisticated workflows.

AWS Step Functions can automatically trigger AWS Glue jobs.

  • True
  • False

Answer: True

Explanation: AWS Step Functions can coordinate AWS Glue jobs such that they can be triggered, chained, forked, retried, logged, and caught for exception handling.

Which AWS service can be used to monitor AWS Step Functions?

  • AWS CloudTrail
  • AWS CloudWatch
  • Both A and B
  • Neither A nor B

Answer: Both A and B

Explanation: Both AWS CloudTrail and AWS CloudWatch can be used to monitor AWS Step Functions. CloudTrail captures all API calls for AWS Step Functions, and CloudWatch collects raw data and processes it into readable, near real-time metrics.

Interview Questions

What is a Serverless workflow in AWS?

A Serverless workflow in AWS is a sequence of operations (steps) orchestrated by AWS Step Functions where each step is an AWS Lambda function. It enables you to build and update applications quickly without needing to manage any servers.

What are the key benefits of using serverless workflows in AWS?

The key benefits include no server management, flexible scaling, high availability, and no idle capacity. You pay only for the compute time you consume and your code runs in a highly available and fault-tolerant infrastructure.

What AWS services can be used to implement Serverless workflows?

AWS Step Functions and AWS Lambda are widely used for implementing serverless workflows.

What is AWS Step Functions?

AWS Step Functions is a fully managed service that makes it easy to coordinate the components of distributed applications and microservices using workflows.

What is AWS Lambda?

AWS Lambda is a compute service that lets you run code without provisioning or managing servers. You can execute your code only when needed and scale automatically.

How does AWS Step Functions interact with serverless applications?

AWS Step Functions interacts with AWS Lambda functions to build scalable and reliable serverless workflows. An AWS Lambda function is used for each step in the workflow.

How can you scale a serverless workflow in AWS?

AWS handles the scaling automatically. You simply write the code, and AWS Lambda automatically scales the application to match the usage pattern, from a few requests per day to thousands of requests per second.

What types of applications can you build using serverless workflows?

You can build various types of applications using serverless workflows, such as data pipelines, realtime file processing, web backends, mobile backends, and IoT backends.

How is high availability ensured in serverless workflows?

AWS automatically maintains the underlying infrastructure redundancy to ensure high availability of AWS Lambda and AWS Step Functions, which reduces downtime and improves the reliability of serverless workflows.

How is state maintained in a serverless workflow implemented using AWS Step Functions and AWS Lambda?

AWS Step Functions automatically saves the state of your workflow at each step, ensuring that you can resume the workflow from any step without losing any progress.

How is security managed in serverless workflows in AWS?

Security in serverless workflows is managed using AWS Identity and Access Management (IAM), which allows you to set up user roles and permissions to regulate access to your resources.

How can you monitor serverless workflows in AWS?

You can utilize services like AWS CloudWatch and AWS X-Ray to monitor the performance of your serverless workflows, including execution time and latency.

What is the maximum execution time for a Lambda function in a serverless workflow in AWS?

The maximum execution time for a Lambda function is 900 seconds or 15 minutes.

How is error handling managed in AWS Serverless workflows?

Error handling in AWS Serverless workflows is performed through exception handling code in the Lambda functions, as well as through Step Functions error handling attributes in the state machine definition.

What kind of applications are not suitable for serverless workflows?

Applications with complex architectures, continuous listening requirements, or those that require long execution times beyond 15 minutes may not be suitable for serverless workflows.

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