Practice Test

True or False: Amazon EC2 Auto Scaling is designed to automatically adjust computing capacity based on demand.

  • True
  • False

Answer: True

Explanation: Amazon EC2 Auto Scaling automatically helps to increase or decrease the number of EC2 instances depending on demand, ensuring consistent performance during peak or idle periods.

What are the main benefits of AWS Auto Scaling? (Multiple Select)

  • a) Increase efficiency
  • b) Reduce cost
  • c) None of the above
  • d) All of the above

Answer: d) All of the above

Explanation: AWS Auto Scaling helps to efficiently use resources and reduce costs by adjusting capacity in line with demand.

True or False: AWS Auto Scaling is only applicable for Amazon EC2 instances.

  • True
  • False

Answer: False

Explanation: AWS Auto Scaling can be used with various AWS services such as Amazon EC2, DynamoDB, Amazon Aurora, etc.

What are the scaling plans in AWS Auto Scaling? (Multiple Select)

  • a) Manual Scaling
  • b) Scheduled Scaling
  • c) Dynamic Scaling
  • d) All of the above

Answer: d) All of the above

Explanation: AWS Auto Scaling offers Manual Scaling (user-defined), Scheduled Scaling (at defined times), and Dynamic Scaling (in response to changing demand).

Which AWS service provides automatic scaling for applications hosted in containerized services?

  • a) Amazon ECS
  • b) AWS Lambda
  • c) Amazon RDS
  • d) Amazon Redshift

Answer: a) Amazon ECS

Explanation: Amazon ECS, the Elastic Container Service, can automatically adjust the number of containers based on the demand of the application.

True or False: Management of Amazon EC2 Auto Scaling is complex and requires significant AWS experience.

  • True
  • False

Answer: False

Explanation: Amazon EC2 Auto Scaling is designed to be simple and user-friendly, allowing users to set desired configurations and leaving the rest of the task to AWS.

What AWS service allows for scaling of read and write throughput to adjust to actual traffic patterns?

  • a) Amazon S3
  • b) Amazon EC2
  • c) Amazon DynamoDB
  • d) Amazon RDS

Answer: c) Amazon DynamoDB

Explanation: Amazon DynamoDB can automatically adjust capacity as per fluctuations in workload patterns, enabling efficient scaling for applications.

True or False: AWS Auto Scaling can help optimize application availability.

  • True
  • False

Answer: True

Explanation: AWS Auto Scaling ensures optimal resource availability by adjusting capacity in real-time, preventing application overload and enhancing performance.

What AWS Auto Scaling strategy increases or decreases the current capacity of the group by a specified percentage?

  • a) Exact capacity
  • b) Step scaling
  • c) Simple scaling
  • d) Percent change in capacity

Answer: d) Percent change in capacity

Explanation: This strategy adjusts the capacity depending on the percentage change set, keeping the system adaptive to changing loads.

True or False: In Amazon EC2 Auto Scaling, it’s not possible to combine multiple launch templates or configurations to use with an Auto Scaling group.

  • True
  • False

Answer: False

Explanation: It is indeed possible to combine multiple launch templates or configurations with an Auto Scaling group in Amazon EC2 Auto Scaling.

Which of the following is not a use case of Auto Scaling?

  • a) Fault tolerance
  • b) Data replication
  • c) Scalable web applications
  • d) Multi-tier application scaling

Answer: b) Data replication

Explanation: AWS Auto Scaling is used for fault tolerance, scalable web applications, and multi-tier application scaling but it does not directly support data replication.

What type of AWS scaling continuously maintains average utilization of your Auto Scaling group to be at the specified target?

  • a) Scheduled Scaling
  • b) Step Scaling
  • c) Target Tracking Scaling
  • d) Manual Scaling

Answer: c) Target Tracking Scaling

Explanation: Target Tracking Scaling in AWS helps maintain average utilization at a specified target, keeping the capacity balanced according to changing loads.

True or False: Cost optimization is one of the primary benefits of AWS Auto Scaling.

  • True
  • False

Answer: True

Explanation: AWS Auto Scaling accurately matches resources to current demand, reducing unnecessary spendings and optimizing costs.

AWS Auto Scaling can be used to adjust capacity for which of the following AWS Services? (Multiple Select)

  • a) EC2 Spot Fleets
  • b) ECS tasks
  • c) EMR jobs
  • d) RDS instances
  • e) DynamoDB tables

Answer: a) EC2 Spot Fleets, b) ECS tasks, c) EMR jobs, e) DynamoDB tables

Explanation: Except for RDS instances, Auto Scaling can be used to adjust capacity for EC2 Spot Fleets, ECS tasks, EMR jobs, and DynamoDB tables.

True or False: Amazon EC2 Auto Scaling can only adjust capacity in response to an alarm.

  • True
  • False

Answer: False

Explanation: While Amazon EC2 Auto Scaling can adjust capacity in response to an alarm, it can also adjust capacity at scheduled times or in response to changes in workload patterns.

Interview Questions

What is Amazon EC2 Auto Scaling?

Amazon EC2 Auto Scaling is a service that helps you ensure that you have the correct number of Amazon EC2 instances available to handle the load for your application. You can create a scaling policy for your application based on its specific needs.

How can AWS Auto Scaling benefit an organization?

AWS Auto Scaling allows organizations to optimize their applications for performance and cost. It can automatically add or remove AWS resources based on the demand of your applications, ensuring the right resources are available at the right time which can lead to cost savings.

Can you explain the key components of Amazon EC2 Auto Scaling?

The key components of Amazon EC2 Auto Scaling are groups, configuration templates, and scaling policies. The groups contain EC2 instances that share similar characteristics and are treated as a logical pooling for the purposes of scaling and management. Configuration templates are used to launch EC2 instances into an auto-scaling group and contain information such as instance type, key pair, security groups, and block device mapping among others. The scaling policies determine when and how to scale your applications.

What are the common use cases of Amazon EC2 Auto Scaling?

The common use cases of Amazon EC2 Auto Scaling include maintaining application availability, dynamically scaling your applications in response to changing demand, and scheduled scaling based on predictable load changes.

What is the difference between Amazon EC2 Auto Scaling and AWS Auto Scaling?

Amazon EC2 Auto Scaling is specifically for scaling Amazon EC2 instances in groups. AWS Auto Scaling, on the other hand, allows you to scale other AWS services as well, such as DynamoDB, ECS and Aurora among others.

What do you understand by the term ‘scale out’ and ‘scale in’?

‘Scale out’ refers to the process of adding more EC2 instances to a group in response to increased demand. On the other hand, ‘scale in’ refers to the process of removing unnecessary EC2 instances when demand decreases.

Can you describe how a lifecycle hook works with Amazon EC2 Auto Scaling?

Lifecycle hooks allow you to perform custom actions by pausing instances when an Auto Scaling event occurs. They cause instances to wait either at launch or at termination, before the instance becomes active or before it is terminated, allowing you to take appropriate actions.

How does predictive scaling work in AWS Auto Scaling?

Predictive scaling works by forecasting future demands using machine learning algorithms and schedules scaling actions in advance to meet the predicted demand.

What is cooldown in AWS Auto Scaling?

Cooldown is a period that helps to ensure that your Auto Scaling group doesn’t launch or terminate additional instances before the previous scaling activity takes effect.

How does AWS Auto Scaling work with Elastic Load Balancing?

AWS Auto Scaling works with Elastic Load Balancing by distributing incoming traffic across multiple targets, such as EC2 instances. When you enable Auto Scaling, it ensures that your application has the right amount of capacity to handle the current traffic demand.

What is scheduled scaling in AWS?

Scheduled scaling is an AWS function that allows you to scale your applications in anticipation of known traffic patterns.

How does Amazon EC2 Auto Scaling enhance fault tolerance?

Amazon EC2 Auto Scaling enhances fault tolerance by maintaining the health of applications, automatically replacing instances that are unresponsive, impaired, or detached from load balancers.

Are there charges for using AWS Auto Scaling?

AWS Auto Scaling itself is a free service. However, users pay for the underlying EC2 instances or other AWS resources they consume.

Can Amazon EC2 Auto Scaling be used across multiple AWS regions?

No, Amazon EC2 Auto Scaling cannot be used across multiple AWS regions. Auto Scaling groups are region-specific.

Can Auto Scaling policies be updated after they have been created?

Yes, Auto Scaling policies can be updated after they have been created. The changes to the policy take effect as soon as the update request is made.

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