AWS (QUIZ 4 MODULE 2)

1. What happens if one components fails in a loosely coupled architecture?

   a) The system can continue to function as other components are independent.
   b) Other components must be manually restarted.
   c) The system automatically switches to backup components without any intervention.
   d) The failure causes the entire system to fail.

a) The system can continue to function as other components are independent.

2. How does Amazon EC2 Auto Scaling work in AWS?

   a) Amazon EC2 Auto Scaling adjusts the instance type but does not change the number of instances.
   b) Amazon EC2 Auto Scaling adds instances when the workload is too high, but it does not scale down when demand decreases.
   c) Amazon EC2 Auto Scaling requires manual intervention to add or remove instances based on traffic.
   d) Amazon EC2 Auto Scaling automatically adds or removes instances based on performance data and application metrics.

d) Amazon EC2 Auto Scaling automatically adds or removes instances based on performance data and application metrics.

3. A marketing agency is developing a new web application an expects steady growth, but is unsure of traffic in early months. They want flexibility without a long-term commitment. Which pricing option should they use?

   a) Spot Instances
   b) On-Demand
   c) Saving Plans
   d) Reserved Instances

b) On-Demand

4. A startup company is building a new web application and choose general purpose Amazon EC2 instances to host the application.

   Why did they choose this instance type?

   a) It is specifically designed for memory-intensive applications, which is ideal for hosting a web application.
   b) It is designed for high storage capacity, which is needed to host large databases.
   c) It provides a balanced mix of compute, memory and networking resources while keeping costs efficient as they scale their user base.
   d) It provides the highest performance for compute-heavy tasks, such as video rendering or machine learning.

c) It provides a balanced mix of compute, memory and networking resources while keeping costs efficient as they scale their user base.

5. Which tool can be used to interact with AWS service through a graphical user interface (GUI)?

   a) AWS Management Console
   b) Amazon EC2
   c) AWS Software Development Kit (AWS SDK)
   d) AWS Command Line Interface (AWS CLI)

a) AWS Management Console

6. A company has critical steady-state workloads and batch jobs that are not time-sensitive. How should they optimize costs using Amazon EC2 Savings Plans and Spot Instances?

   a) Use Spot Instances for all workloads to maximize savings and avoid Savings Plans.
   b) Use Savings Plans for critical workloads and Spot Instances for jobs that are not time-sensitive to maximize savings.
   c) Use Savings Plans for all workloads and avoid Spot Instances because of interruption risks.
   d) Use Savings Plans for non-time-sensitive workloads and Spot Instances for critical jobs.

c) Use Savings Plans for all workloads and avoid Spot Instances because of interruption risks.

7. How do Amazon EC2 Auto Scaling and Elastic Load Balancing (ELB) work together in AWS?

   a) Amazon EC2 Auto Scaling adjusts the number of instances, whereas ELB distributes traffic evenly across them.
   b) They operate independently and are not connected.
   c) ELB automatically scales the EC2 instances, and Amazon EC2 Auto Scaling adjusts traffic.
   d) Amazon EC2 Auto Scaling handles traffic routing, whereas ELB manages instance scaling.

a) Amazon EC2 Auto Scaling adjusts the number of instances, whereas ELB distributes traffic evenly across them.

8. Which option BEST describes how compute resources are provisioned and managed in the cloud?

   a) Resources are provisioned based on demand, allowing for scaling and management.
   b) Resources must be pre-purchased and installed onsite.
   c) Compute resources are fixed and cannot be scaled.
   d) Compute resources require constant manual management.

a) Resources are provisioned based on demand, allowing for scaling and management.

9. A media company is working on a project that involves rendering complex visual effects and simulations. The rendering process requires significant computational power and hardware accelerators to handle the intense workload efficiently.

   Which Amazon EC2 instance type would be the BEST choice for this task?

   a) General purpose
   b) Accelerated computing
   c) Memory optimized
   d) Compute optimized

b) Accelerated computing

10. A manufacturing company is running a set of predictable workloads for the next 3 years and wants to optimize costs.

    Which option should they choose?

    a) Spot Instances
    b) Dedicated Hosts
    c) Reserved Instances
    d) On-Demand

c) Reserved Instances

11. What does multi-tenancy refer to in the context of Amazon EC2?

    a) Each EC2 instance running in its own private network
    b) Multiple users sharing the same EC2 instance while maintaining isolation
    c) Instances that are restricted to one geographical region.
    d) EC2 instances dedicated to individual clients.

b) Multiple users sharing the same EC2 instance while maintaining isolation

12. What is the primary role of an Amazon Machine image (AMI) when scaling applications?

    a) It provides a consistent image to launch new instances.
    b) It stores backup copies of application data.
    c) It automatically manages network traffic.
    d) It configures scaling policies for applications.

a) It provides a consistent image to launch new instances.

13. A University research team is running climate modeling simulations that require substantial CPU power to process complex algorithms and analyze large datasets.

    Why are compute optimized Amazon EC2 instances ideal for this task?

    a) They are optimized for handling tasks that require hardware accelerators.
    b) They provide high storage throughput, making them ideal for tasks that require fast data retrieval and storage for large datasets.
    c) They are ideal for tasks that require significant CPU power to perform computations.
    d) They are designed for workloads that require a high amount of memory to process large datasets efficiently.

c) They are ideal for tasks that require significant CPU power to perform computations.