AWS Job Assessment Q/A (Part 4)

Welcome back to our essential AWS Job Assessment Q&A series!

Continuing from our previous posts, where we shared the first three sets of essential AWS interview questions and answers, here are more critical questions to aid your preparation further. This will be the final part of our series.

Be sure to check out Part 1: Click Here, Part 2: Click Here, and Part 3: Click Here of our AWS Interview Preparation series for a comprehensive start.

Q31: What is the common method preferred for database replication?

1. Control Data Capture
2. Continuous Data Capture
3. Change Data Control
4. Change Data Capture
5. Capture Data Copy

Correct Option: 4

Reason for each option:

• Control Data Capture: Incorrect

This is not a standard term used in the context of database replication.

• Continuous Data Capture: Incorrect

While capturing data continuously is a goal, the correct term for the method that tracks and replicates changes in the database is Change Data Capture.

• Change Data Control: Incorrect

This term is not commonly used in the context of database replication. The standard term is Change Data Capture.

• Change Data Capture: Correct

Change Data Capture (CDC) is a common method used for database replication. It involves tracking changes to the data in the database (such as inserts, updates, and deletes) and capturing these changes in real-time or near real-time. This method ensures that the replicated database remains synchronized with the source database by only replicating the changes, making it efficient and effective for data replication.

• Capture Data Copy: Incorrect

This term is not specific to the method used for database replication. It does not accurately describe the process of tracking and replicating changes in the database.

Q32: What is meant by CI/CD?

1. Cloud Integration, Cloud Development
2. Customer Information, Customer Data
3. Continuous Integration, Continuous Delivery
4. Container Integration, Cloud Deployment

Correct Option: 3

Checkout our blog on What is CI/CD Pipeline

Reason for each option:

• Cloud Integration, Cloud Development: Incorrect

While these terms are related to cloud computing and software development, they do not represent the CI/CD pipeline or its practices.

• Customer Information, Customer Data: Incorrect

These terms are related to data management and customer information systems, not the CI/CD pipeline.

• Continuous Integration, Continuous Delivery: Correct

CI/CD stands for Continuous Integration and Continuous Delivery (or Continuous Deployment). It is a set of practices and tools used in software development to automate and streamline the process of integrating code changes, testing them, and deploying them to production. Continuous Integration (CI) involves automatically integrating code changes from multiple contributors into a shared repository, running tests to ensure code quality. Continuous Delivery (CD) extends this by automatically deploying the code to a production-like environment, ensuring that the software can be released at any time.

• Container Integration, Cloud Deployment: Incorrect

These terms relate to containerization and cloud computing but do not specifically describe the CI/CD process.

Q33: How will you define test-driven development?

1. Developing and running an automated test before actual development of the functional code.
2. Ensure enough functional integration and performance testing other than unit testing.
3. Possible code coverage with unit tests.
4. Production deployment requires passing all tests.

Correct Option: 1

Reason for each option:

• Developing and running an automated test before actual development of the functional code: Correct

Test-Driven Development (TDD) is a software development approach where tests are written before the actual functional code. The process involves writing a test for a new function or feature, running the test (which will initially fail), writing the minimal amount of code required to pass the test, and then refactoring the code while ensuring the tests still pass. This cycle is repeated to develop the entire functionality.

• Ensure enough functional integration and performance testing other than unit testing: Incorrect

While TDD involves extensive testing, the primary focus is on writing tests before coding and not on ensuring enough functional integration and performance testing, which are broader aspects of the software testing life cycle.

• Possible code coverage with unit tests: Incorrect

TDD can lead to high code coverage with unit tests, but this statement does not define the core practice of TDD, which is about writing tests before the code.

• Production deployment requires passing all tests: Incorrect

Ensuring all tests pass before deployment is a best practice in CI/CD pipelines, but it does not specifically define TDD. TDD is specifically about the order and method of writing tests and code.

Q34: A company wants to start using native cloud services. Which migration method should the company use to migrate an application from its local data center to the cloud, allowing for modification of the existing application to comply with native cloud services?

1. Rehosting
2. Replatforming
3. Refactoring
4. Repurchasing
   

Correct Option: 3

Checkout our blog on AWS Cloud Migration: Mastering the 7 R’s and Best Practices

Reason for each option:

• Rehosting: Incorrect

Rehosting, also known as “lift and shift,” involves moving applications to the cloud with little or no modification. It is fast but does not optimize the application to take full advantage of cloud-native services.

• Replatforming: Correct

Replatforming involves moving an application to the cloud with minimal changes, typically to take advantage of cloud-native services. This might include using managed databases, container services, or other cloud-specific features. The goal is to modify the application enough to leverage cloud-native benefits without a complete rewrite.

• Refactoring: Incorrect

Refactoring involves rewriting or re-architecting an application to fully leverage cloud-native features and services. This method allows for significant modification but is usually more time-consuming and complex than replatforming.

• Repurchasing: Incorrect

Repurchasing involves moving to a different product, typically a SaaS (Software as a Service) offering. This often means replacing the existing application with a new one, which may not involve modification of the current application.

Q35: How is vertical scaling different from horizontal scaling in scalable computer architecture?

1. More servers are added to scale in vertical scaling.
2. Vertical scaling adds more memory to existing servers.
3. In horizontal scaling, more CPUs are added to existing servers.
4. Vertical scaling and horizontal scaling both add more memory but only vertical scaling adds more servers.

Correct Option: 2

Check out our blog on Cloud Elasticity vs Cloud Scalability: Key Differences in AWS

Reason for each option:

• More servers are added to scale in vertical scaling: Incorrect

This describes horizontal scaling, not vertical scaling. Vertical scaling focuses on enhancing the capacity of a single server.

• Vertical scaling adds more memory to existing servers: correct

Vertical scaling, also known as scaling up, involves adding more resources to an existing server. This can include adding more memory (RAM), more CPUs, or faster storage. The idea is to increase the capacity of the current server to handle more load.

• In horizontal scaling, more CPUs are added to existing servers: Incorrect

Horizontal scaling involves adding more servers, not just adding CPUs to existing servers. The additional servers work together to handle the increased load.

• Vertical scaling and horizontal scaling both add more memory but only vertical scaling adds more servers: Incorrect

This statement is incorrect. Vertical scaling adds more resources (like memory, CPU) to a single server, while horizontal scaling adds more servers. Vertical scaling does not involve adding more servers.

Q36: Which option is not a common pattern or architecting principle in scalable computing?

1. Producer-Consumer
2. Publisher-Subscriber
3. Decoupling
4. Disaster Recovery

Correct Option: 4

Reason for each option:

• Producer-Consumer: Incorrect

The Producer-Consumer pattern is a common design pattern used in scalable computing where producers create data and consumers process that data, often using a queue to decouple the two processes.

• Publisher-Subscriber: Incorrect

The Publisher-Subscriber (Pub-Sub) pattern is another common design pattern in scalable systems. In this pattern, publishers send messages to subscribers through a broker, allowing for flexible, decoupled communication between components.

• Decoupling: Incorrect

Decoupling is a fundamental principle in scalable computing, aiming to reduce the dependencies between different parts of a system to improve scalability, maintainability, and flexibility.

• Disaster Recovery: Correct

Disaster Recovery refers to the strategies and processes put in place to recover from catastrophic failures, such as data loss, system failures, or natural disasters. While it is an important aspect of overall system reliability and availability, it is not specifically a pattern or principle used in architecting scalable computing systems.

Q37: A company runs a high-traffic e-commerce website that experiences spikes in traffic during sales events. They want to ensure their website can handle the increased load without crashing. Which AWS service should they use to automatically distribute incoming traffic across multiple instances?

1. Amazon CloudFront
2. AWS Elastic Load Balancing (ELB)
3. Amazon Route 53
4. AWS Direct Connect

Correct Option: 2

Checkout our blog on AWS Exploration: Amazon Web Services

Reason for each option:

• Amazon CloudFront: Incorrect

CloudFront is a CDN service that helps deliver content globally with low latency.

• AWS Elastic Load Balancing (ELB): Correct.

ELB automatically distributes incoming application traffic across multiple targets, such as EC2 instances, to ensure high availability and fault tolerance.

• Amazon Route 53: Incorrect.

Route 53 is a scalable DNS and domain name registration service.

• AWS Direct Connect: Incorrect.

Direct Connect establishes a dedicated network connection from your premises to AWS.

Q38: A media company needs to transcode videos uploaded by users into various formats for different devices. They want to automate this process. Which AWS service can be used to achieve this?

1. Amazon S3
2. AWS Lambda
3. Amazon Elastic Transcoder
4. Amazon ECS

Correct Option: 3

Reason for each option:

• Amazon S3: Incorrect

S3 is used for object storage, not for transcoding videos.

• AWS Lambda: Incorrect

Lambda is used for running code in response to events, not specifically for video transcoding.

• Amazon Elastic Transcoder: Correct

Elastic Transcoder is a media transcoding service in the cloud that is designed to be scalable and cost-effective.

• Amazon ECS: Incorrect

ECS is a container orchestration service and not specifically for video transcoding.

Q39: A financial services company needs to analyze petabytes of transaction data to identify fraud patterns in real-time. Which AWS service combination would best meet their needs?

1. Amazon RDS and Amazon S3
2. Amazon Redshift and Amazon Kinesis
3. Amazon DynamoDB and AWS Lambda
4. Amazon Aurora and AWS Step Functions

Correct Option: 2

Reason for each option:

• Amazon RDS and Amazon S3: Incorrect

RDS is for relational databases and S3 for storage; they do not provide real-time data streaming and large-scale analytics.

• Amazon Redshift and Amazon Kinesis: Correct

Redshift is a fast, scalable data warehouse, and Kinesis can ingest and process real-time data streams.

• Amazon DynamoDB and AWS Lambda: Incorrect

While DynamoDB and Lambda can handle data and processing, they are not optimized for real-time analytics on a large scale.

• Amazon Aurora and AWS Step Functions: Incorrect

Aurora is a relational database and Step Functions coordinate workflows, not specifically for real-time data analysis.

Q40: A software development team needs to create isolated environments for different stages of their CI/CD pipeline, such as development, testing, and production, with the ability to automatically deploy updates. Which AWS service should they use to manage this process?

1. AWS CodeDeploy
2. AWS CodePipeline
3. AWS Elastic Beanstalk
4. AWS CloudFormation

Correct Option: 2

Reason for each option:

• AWS CodeDeploy: Incorrect

CodeDeploy automates the deployment of applications but doesn’t manage the entire CI/CD pipeline.

• AWS CodePipeline: Correct

CodePipeline automates the build, test, and deploy phases of your release process every time there is a code change, based on the release model you define.

• AWS Elastic Beanstalk: Incorrect

Elastic Beanstalk handles the deployment and scaling of web applications but is not a full CI/CD pipeline management service.

• AWS CloudFormation: Incorrect

CloudFormation is used for provisioning and managing infrastructure as code, not specifically for managing CI/CD pipelines.

Conclusion

Welcome to the final installment of our essential AWS Job Assessment Questions & Answers series! In this concluding part, we share more critical questions to aid your preparation, ensuring you have the knowledge and confidence needed to secure your desired AWS role.

Whether you’re an experienced professional or new to AWS, this guide is invaluable for your assessment preparation. Remember, preparation is the key to success. Be sure to review Part 1: Click Here, Part 2: Click Here, and Part 3: Click Here of our AWS Job Assessment series for a comprehensive start.

We hope you find this blog helpful, and we wish you the best of luck in your AWS career!

Frequently Asked Questions

Related/References

• AWS Cloud Job Oriented Program: Step-by-Step Hands-on Labs & Projects
• AWS Exploration: Amazon Web Services
• AWS Certification Path: Learn AWS Certification Hierarchy 2024
• Overview of Amazon Web Services & Concept
• AWS Management Console Walkthrough
• How to create a free tier account in AWS
• AWS Management Console

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