Cloud Data Engineering Coursera Quiz Answers – Networking Funda

Get All Weeks Cloud Data Engineering Coursera Quiz Answers

Week 01: Cloud Data Engineering Coursera Quiz Answers

Quiz 01: Week 1 Quiz

Q1. What is Moore’s Law?

  • A theory on the rise of cloud computing
  • A theory on the limits of concurrency
  • A prediction about the consistent rise in computing power

Q2. What is one characteristic of a distributed system?

  • Serial I/O
  • Eventually Consistent
  • Lack of concurrency

Q3. Which of the following is a feature of Big Data?

  • High-performance disks
  • Volume
  • GPU processing

Q4. What problem does the variety of Big Data describe?

  • Multiple types of stored data: SQL, Binary, Text, etc
  • Amazon RDS
  • SQL Database size

Q5 . What Big Data problem does velocity describe?

  • DevOps
  • Speed data arrives
  • Teamwork

Q6. Why is a Map-Reduce system used to process Big Data?

  • Volume
  • Velocity
  • Parallelization of disk and CPU

Q7. What type of system is Spark?

  • Big Data
  • Real-time analysis
  • Map-Reduce

Q8. What alternatives to CPUs exist to address Moore’s Law ending?

  • Async Network
  • GPUs
  • More threads

Q9. Why would an SSD drive speed up a Relational Database query?

  • Faster networking
  • It adds more processors
  • Faster Disk I/O

Q10. What is an example of a software engineering best practice?

  • Hiring “rockstar” developers
  • CI
  • CD

Week 02: Cloud Data Engineering Coursera Quiz Answers

Quiz 01: Week 2 Quiz

Q1. Why is Data Engineering so important in Data Science?

  • Only prediction accuracy matters
  • It is a bottleneck
  • Data Operations are easy

Q2. What is an example of poor Data Governance?

  • Storing PII (Personally Identifiable Information)
  • Encrypting Data
  • Principle of least privilege

Q3. Why is the principle of least privilege a Data Governance best practice?

  • It eliminates passwords
  • Encryption at rest
  • Limits security holes

Q4. What is an example of a serverless data pipeline

  • An event triggered from storing data in an S3 bucket
  • AWS EC2
  • AWS S3

Q5. What is the Python Click framework?

  • A web framework
  • An ORM
  • A decorator oriented Python Command-line tool framework

Q6. Why are Command-line tools essential to automation?

  • They compile to C
  • They work in Go
  • They are often the most simple way to solve a proble

Q7. Why would streaming data present new challenges in Data Science?

  • It is encrypted
  • Data Drift
  • It is static

Q8. Why would an organization want to secure an AWS root account?

  • The AWS root account has can any operation
  • The password file keeps finding its way to a post it note
  • Only the root account can encrypt items

Q9. What is the AWS Shared Security Model?

  • The customer and AWS partner
  • AWS can fix any security concern
  • A customer can decide to maintain the AWS data center

Q10. What is a command-line flag?

  • An option to do a new thing
  • linting
  • testing

Week 03: Cloud Data Engineering Coursera Quiz Answers

Quiz 01: Week 3 Quiz

Q1. Why is serverless a vital technological advancement?

  • Minimizes the technical overhead in building services
  • It is in Python
  • The software is “no-code.”

Q2. Why would a developer use AWS Lambda and a Dockerfile?

  • Standardized development workflow
  • It is a requirement
  • It works with Python

Q3. Where can AWS SAM be used?

  • AWS EC2
  • To build serverless applications on AWS

Q4. Why is event-driven programming similar to the lightbulb in your garage?

  • It has a programmatic invocation via AWS
  • It runs manually
  • Lightbulbs respond to multiple signals

Q5. What is an example of an AWS Lambda Trigger?

  • Boto3
  • API Gateway
  • Python

Q6. What are architectural best practices to contemplate when using serverless?

  • Long-running processes
  • Connecting to a message bus
  • Synchronous design

Q7. Why would you use a command-line tool (CLI) to invoke an AWS Lambda function?

  • Rapid prototyping
  • To serve out HTTP traffic
  • To build a REST API

Q8. What is a good use case for serverless?

  • Desktop App
  • Long-running process
  • Data Engineering

Q9. Why is serverless also called FaaS or Function as a Service?

  • It requires Object-Oriented (OO) programming
  • A function is the core component of serverless
  • It run on bare metal

Q10. Why are containers often involved in serverless architectures?

  • Increases Memory
  • Containers map well to functions
  • Increases CPU

Week 04: Cloud Data Engineering Coursera Quiz Answers

Quiz 01: Week 4 Quiz

Q1. What is ETL?

  • Extract, Transfer and Load
  • Decrypt
  • Encrypt

Q2. What is an example of AWS Object Storage?

  • EBS
  • EFS
  • S3

Q3. What is Amazon RDS?

  • Amazon Relational Database Service (RDS)
  • EFS
  • S3 in read only mode

Q4. Why could EFS be a good solution for cluster computing on AWS?

  • It works on one machine at a time
  • Centralized storage
  • It is a database

Q5. What type of AWS Storage can host a website statically?

  • S3
  • EFS
  • EBS

Q7. What does an AWS Step function do

  • Stores data in database
  • Writes to S3
  • Primarily Orchestrates AWS Lambda

Q7. Which of the following is a Cloud Database that uses SQL?

  • Elastic Beanstalk
  • Amazon DynamoDB
  • Google BigQuery

Q8. What is an AI API?

  • Monitoring
  • An API that uses a pre-trained model
  • Instrumentation

Q9. What is an AWS Lambda trigger?

  • Instrumentation
  • Monitoring
  • An AWS Lambda connected to an event

Q10. Why is serverless helpful in Data Engineering?

  • Automatic deployment
  • Limits complexity
  • Automated testing

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