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AWS module 2 Assessment

Authored by Steven Chan

Computers

Professional Development

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AWS module 2 Assessment
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13 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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?

They are optimized for handling tasks that require hardware accelerators.

They provide high storage throughput, making them ideal for tasks that require fast data retrieval and storage for large datasets.

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

They are designed for workloads that require a high amount of memory to process large datasets efficiently.

Answer explanation

Compute optimized instances are specifically designed for compute-heavy workloads like simulations, offering higher CPU performance to process complex algorithms and analyze large datasets.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

Each EC2 instance running in its own private network

Multiple users sharing the same EC2 instance while maintaining isolation

Instances that are restricted to one geographical region

EC2 instances dedicated to individual clients

Answer explanation

Multi-tenancy in Amazon EC2 refers to multiple tenants, or users, sharing the same instance but maintaining isolation for security and performance.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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?

Use Spot Instances for all workloads to maximize savings and avoid Savings Plans.

Use Savings Plans for critical workloads and Spot Instances for jobs that are not time-sensitive to maximize savings.

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

Use Savings Plans for non-time-sensitive workloads and Spot Instances for critical jobs.

Answer explanation

Spot Instances are best for non-critical workloads that can handle interruptions. Critical workloads require the reliability and guaranteed capacity that Savings Plans provide, making this approach risky.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

AWS Management Console

Amazon EC2

AWS Software Development Kit (AWS SDK)

AWS Command Line Interface (AWS CLI)

Answer explanation

The AWS Management Console is the web-based GUI that is used to interact with AWS services.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

It provides a consistent image to launch new instances.

It stores backup copies of application data.

It automatically manages network traffic.

It configures scaling policies for applications.

Answer explanation

AMIs launch new Amazon EC2 instances with the same software configuration and settings, providing consistency.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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?

Spot Instances

Dedicated Hosts

Reserved Instances

On-Demand

Answer explanation

Reserved Instances offer up to a 75 percent discount for steady-state, predictable workloads when committing to a 1-year or 3-year term, making them the most cost-effective option.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Amazon EC2 Auto Scaling work in AWS?

Amazon EC2 Auto Scaling adjusts the instance type but does not change the number of instances.

Amazon EC2 Auto Scaling adds instances when the workload is too high, but it does not scale down when demand decreases.

Amazon EC2 Auto Scaling requires manual intervention to add or remove instances based on traffic.

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

Answer explanation

For optimal resource usage, Amazon EC2 Auto Scaling automatically adjusts the number of instances based on performance metrics.

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