11.04 Big Data And Web Architectures - Quiz

Check your understanding

1. What is the main purpose of data mining in web applications?

   • To reduce server costs
   • To find patterns and insights in large datasets { data-correct }
   • To compress data for storage
   • To encrypt sensitive information

2. Which of the following is an example of metadata?

   • The actual content of an article
   • User comments on a blog post
   • Tags, author, and creation date of a document { data-correct }
   • Server error logs

3. What is a key challenge when processing streaming data?

   • Data arrives continuously and must be processed in real-time { data-correct }
   • Data is always encrypted
   • Data files are too large to store
   • Data only arrives once per day

4. Which architecture pattern involves a single deployable unit containing all functionality?

   • Microservices
   • Serverless
   • Monolithic { data-correct }
   • Distributed

5. What is a main advantage of microservices architecture?

   • Simpler deployment process
   • No network latency between components
   • Independent scaling of individual services { data-correct }
   • Single technology stack for everything

6. When might serverless architecture be the best choice?

   • For applications with constant, predictable load
   • For applications requiring very long processing times
   • For applications with variable or unpredictable load { data-correct }
   • For applications that need direct server access

7. Which of the following would cause dropped messages in a streaming system?

   • Network connectivity issues
   • Buffer overflow when data arrives faster than it can be processed { data-correct }
   • Incorrect data formatting
   • Server restart

8. What type of insights can web analytics data mining typically provide?

   • User behavior patterns and conversion rates { data-correct }
   • Server hardware specifications
   • Database schema designs
   • Network routing protocols

9. In the context of big data, what does “metadata” help with?

   • Increasing data storage capacity
   • Making data easier to find, understand, and organize { data-correct }
   • Encrypting sensitive information
   • Reducing network bandwidth usage

10. Which architecture pattern typically has the lowest operational overhead for small teams?

    • Microservices with container orchestration
    • Serverless with managed services { data-correct }
    • Monolithic with manual deployment
    • Hybrid multi-cloud setup