Cloud Data Engineering Quizzes & 答案 – Coursera

Step into the dynamic world of 云 computing with our informative quizzes and expert answers that delve into the intersection of data management and 云 技术. Discover key concepts and practices that drive efficient data processing, storage and analysis in 云 环境. These quizzes serve as a gateway to understanding the principles of 云 computing from data pipelines to scalable architectures.

Whether you are a 数据 enthusiast looking to improve your cloud data skills or a technology professional looking to optimize 数据 工作流程, this collection provides valuable insights into the world of cloud data 设计. Join us on a journey of data innovation as we uncover the intricacies of cloud data management and unlock the potential of scalable and reliable 数据 解决方案.

测验 01: 周 1 测验

第一季度. 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
• 体积
• GPU processing

第四季度. What problem does the variety of Big Data describe?

• Multiple types of stored data: 查询语句, 二进制, 文本, 等等
• 亚马逊RDS
• SQL Database size

Q5 . What Big Data problem does velocity describe?

• 开发运营
• Speed data arrives
• 团队合作

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

• 体积
• 速度
• Parallelization of disk and CPU

Q7. What type of system is Spark?

• 大数据
• Real-time analysis
• Map-Reduce

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

• Async Network
• GPU
• More threads

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

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

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

• Hiring “rockstar” developers
• 那里
• 光盘

周 02: Cloud Data Engineering Coursera Quiz Answers

测验 01: 周 2 测验

第一季度. 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

第四季度. 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

辅酶Q10. What is a command-line flag?

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

周 03: Cloud Data Engineering Coursera Quiz Answers

测验 01: 周 3 测验

第一季度. 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
• AWS EBS
• To build serverless applications on AWS

第四季度. 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?

• 博托3
• API网关
• 蟒蛇

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 (命令行界面) 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) 程序设计
• A function is the core component of serverless
• It run on bare metal

辅酶Q10. Why are containers often involved in serverless architectures?

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

周 04: Cloud Data Engineering Coursera Quiz Answers

测验 01: 周 4 测验

第一季度. What is ETL?

• 提炼, Transfer and Load
• Decrypt
• Encrypt

Q2. What is an example of AWS Object Storage?

• EBS
• 电子金融服务
• S3

Q3. What is Amazon RDS?

• Amazon Relational Database Service (RDS)
• 电子金融服务
• S3 in read only mode

第四季度. 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
• 电子金融服务
• 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?

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

Q9. What is an AWS Lambda trigger?

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

辅酶Q10. Why is serverless helpful in Data Engineering?

• Automatic deployment
• Limits complexity
• Automated testing