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Amazon SAA-C03 Sample Questions – Free Practice Test & Real Exam Prep

Question #1

A company hosts an application used to upload files to an Amazon S3 bucket Onceuploaded, the files are processed to extract metadata which takes less than 5 seconds Thevolume and frequency of the uploads varies from a few files each hour to hundreds ofconcurrent uploads The company has asked a solutions architect to design a cost-effectivearchitecture that will meet these requirements.What should the solutions architect recommend?

A. Configure AWS CloudTrail trails to tog S3 API calls Use AWS AppSync to process thefiles.
B. Configure an object-created event notification within the S3 bucket to invoke an AWSLambda function to process the files.
C. Configure Amazon Kinesis Data Streams to process and send data to Amazon S3.Invoke an AWS Lambda function to process the files.
D. Configure an Amazon Simple Notification Service (Amazon SNS) topic to process thefiles uploaded to Amazon S3 Invoke an AWS Lambda function to process the files.

Question #2

A company runs analytics software on Amazon EC2 instances The software accepts jobrequests from users to process data that has been uploaded to Amazon S3 Users reportthat some submitted data is not being processed Amazon CloudWatch reveals that theEC2 instances have a consistent CPU utilization at or near 100% The company wants toimprove system performance and scale the system based on user load.What should a solutions architect do to meet these requirements?

A. Create a copy of the instance Place all instances behind an Application Load Balancer
B. Create an S3 VPC endpoint for Amazon S3 Update the software to reference theendpoint
C. Stop the EC2 instances. Modify the instance type to one with a more powerful CPU andmore memory. Restart the instances.
D. Route incoming requests to Amazon Simple Queue Service (Amazon SQS) Configurean EC2 Auto Scaling group based on queue size Update the software to read from the queue.

Answer: D

Explanation: This option is the best solution because it allows the company to decouple

the analytics software from the user requests and scale the EC2 instances dynamically

based on the demand. By using Amazon SQS, the company can create a queue that

stores the user requests and acts as a buffer between the users and the analytics software.

This way, the software can process the requests at its own pace without losing any data or

overloading the EC2 instances. By using EC2 Auto Scaling, the company can create an

Auto Scaling group that launches or terminates EC2 instances automatically based on the

size of the queue. This way, the company can ensure that there are enough instances to

handle the load and optimize the cost and performance of the system. By updating the

software to read from the queue, the company can enable the analytics software to

consume the requests from the queue and process the data from Amazon S3.

A. Create a copy of the instance Place all instances behind an Application Load Balancer.

This option is not optimal because it does not address the root cause of the problem, which

is the high CPU utilization of the EC2 instances. An Application Load Balancer can

distribute the incoming traffic across multiple instances, but it cannot scale the instances

based on the load or reduce the processing time of the analytics software. Moreover, this

option can incur additional costs for the load balancer and the extra instances.

B. Create an S3 VPC endpoint for Amazon S3 Update the software to reference the

endpoint. This option is not effective because it does not solve the issue of the high CPU

utilization of the EC2 instances. An S3 VPC endpoint can enable the EC2 instances to

access Amazon S3 without going through the internet, which can improve the network

performance and security. However, it cannot reduce the processing time of the analytics

software or scale the instances based on the load.

C. Stop the EC2 instances. Modify the instance type to one with a more powerful CPU and

more memory. Restart the instances. This option is not scalable because it does not

account for the variability of the user load. Changing the instance type to a more powerful

one can improve the performance of the analytics software, but it cannot adjust the number

of instances based on the demand. Moreover, this option can increase the cost of the

system and cause downtime during the instance modification.

References:

1 Using Amazon SQS queues with Amazon EC2 Auto Scaling - Amazon EC2 Auto

Scaling

2 Tutorial: Set up a scaled and load-balanced application - Amazon EC2 Auto

Scaling

3 Amazon EC2 Auto Scaling FAQs

Question #3

A company is deploying an application that processes streaming data in near-real time Thecompany plans to use Amazon EC2 instances for the workload The network architecturemust be configurable to provide the lowest possible latency between nodesWhich combination of network solutions will meet these requirements? (Select TWO)

A. Enable and configure enhanced networking on each EC2 instance
B. Group the EC2 instances in separate accounts
C. Run the EC2 instances in a cluster placement group
D. Attach multiple elastic network interfaces to each EC2 instance
E. Use Amazon Elastic Block Store (Amazon EBS) optimized instance types.

Answer: A,C

Explanation: These options are the most suitable ways to configure the network

architecture to provide the lowest possible latency between nodes. Option A enables and

configures enhanced networking on each EC2 instance, which is a feature that improves

the network performance of the instance by providing higher bandwidth, lower latency, and

lower jitter. Enhanced networking uses single root I/O virtualization (SR-IOV) or Elastic

Fabric Adapter (EFA) to provide direct access to the network hardware. You can enable

and configure enhanced networking by choosing a supported instance type and a

compatible operating system, and installing the required drivers. Option C runs the EC2

instances in a cluster placement group, which is a logical grouping of instances within a

single Availability Zone that are placed close together on the same underlying hardware.

Cluster placement groups provide the lowest network latency and the highest network

throughput among the placement group options. You can run the EC2 instances in a

cluster placement group by creating a placement group and launching the instances into it.

Option B is not suitable because grouping the EC2 instances in separate accounts does

not provide the lowest possible latency between nodes. Separate accounts are used to

isolate and organize resources for different purposes, such as security, billing, or

compliance. However, they do not affect the network performance or proximity of the

instances. Moreover, grouping the EC2 instances in separate accounts would incur

additional costs and complexity, and it would require setting up cross-account networking

and permissions.

Option D is not suitable because attaching multiple elastic network interfaces to each EC2

instance does not provide the lowest possible latency between nodes. Elastic network

interfaces are virtual network interfaces that can be attached to EC2 instances to provide

additional network capabilities, such as multiple IP addresses, multiple subnets, or

enhanced security. However, they do not affect the network performance or proximity of the

instances. Moreover, attaching multiple elastic network interfaces to each EC2 instance

would consume additional resources and limit the instance type choices. Option E is not suitable because using Amazon EBS optimized instance types does not

provide the lowest possible latency between nodes. Amazon EBS optimized instance types

are instances that provide dedicated bandwidth for Amazon EBS volumes, which are block

storage volumes that can be attached to EC2 instances. EBS optimized instance types

improve the performance and consistency of the EBS volumes, but they do not affect the

network performance or proximity of the instances. Moreover, using EBS optimized

instance types would incur additional costs and may not be necessary for the streaming

data workload. References:

Enhanced networking on Linux

Placement groups

Elastic network interfaces

Amazon EBS-optimized instances

Question #4

A company runs a container application on a Kubernetes cluster in the company's datacenter The application uses Advanced Message Queuing Protocol (AMQP) tocommunicate with a message queue The data center cannot scale fast enough to meet thecompany's expanding business needs The company wants to migrate the workloads toAWSWhich solution will meet these requirements with the LEAST operational overhead? \

A. Migrate the container application to Amazon Elastic Container Service (Amazon ECS)Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages.
B. Migrate the container application to Amazon Elastic Kubernetes Service (Amazon EKS)Use Amazon MQ to retrieve the messages.
C. Use highly available Amazon EC2 instances to run the application Use Amazon MQ toretrieve the messages.
D. Use AWS Lambda functions to run the application Use Amazon Simple Queue Service(Amazon SQS) to retrieve the messages.

Answer: B

Explanation: This option is the best solution because it allows the company to migrate the

container application to AWS with minimal changes and leverage a managed service to run

the Kubernetes cluster and the message queue. By using Amazon EKS, the company can

run the container application on a fully managed Kubernetes control plane that is

compatible with the existing Kubernetes tools and plugins. Amazon EKS handles the

provisioning, scaling, patching, and security of the Kubernetes cluster, reducing the

operational overhead and complexity. By using Amazon MQ, the company can use a fully

managed message broker service that supports AMQP and other popular messaging

protocols. Amazon MQ handles the administration, maintenance, and scaling of the

message broker, ensuring high availability, durability, and security of the messages.

A. Migrate the container application to Amazon Elastic Container Service (Amazon ECS)

Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages. This option

is not optimal because it requires the company to change the container orchestration

platform from Kubernetes to ECS, which can introduce additional complexity and risk.

Moreover, it requires the company to change the messaging protocol from AMQP to SQS,

which can also affect the application logic and performance. Amazon ECS and Amazon

SQS are both fully managed services that simplify the deployment and management of

containers and messages, but they may not be compatible with the existing application

architecture and requirements.

C. Use highly available Amazon EC2 instances to run the application Use Amazon MQ to

retrieve the messages. This option is not ideal because it requires the company to manage

the EC2 instances that host the container application. The company would need to

provision, configure, scale, patch, and monitor the EC2 instances, which can increase the

operational overhead and infrastructure costs. Moreover, the company would need to

install and maintain the Kubernetes software on the EC2 instances, which can also add

complexity and risk. Amazon MQ is a fully managed message broker service that supports

AMQP and other popular messaging protocols, but it cannot compensate for the lack of a

managed Kubernetes service.

D. Use AWS Lambda functions to run the application Use Amazon Simple Queue Service

(Amazon SQS) to retrieve the messages. This option is not feasible because AWS Lambda

does not support running container applications directly. Lambda functions are executed in

a sandboxed environment that is isolated from other functions and resources. To run container applications on Lambda, the company would need to use a custom runtime or a

wrapper library that emulates the container API, which can introduce additional complexity

and overhead. Moreover, Lambda functions have limitations in terms of available CPU,

memory, and runtime, which may not suit the application needs. Amazon SQS is a fully

managed message queue service that supports asynchronous communication, but it does

not support AMQP or other messaging protocols.

References:

1 Amazon Elastic Kubernetes Service - Amazon Web Services

2 Amazon MQ - Amazon Web Services

3 Amazon Elastic Container Service - Amazon Web Services

4 AWS Lambda FAQs - Amazon Web Services

Question #5

A company runs a real-time data ingestion solution on AWS. The solution consists of themost recent version of Amazon Managed Streaming for Apache Kafka (Amazon MSK). Thesolution is deployed in a VPC in private subnets across three Availability Zones.A solutions architect needs to redesign the data ingestion solution to be publicly availableover the internet. The data in transit must also be encrypted.Which solution will meet these requirements with the MOST operational efficiency?

A. Configure public subnets in the existing VPC. Deploy an MSK cluster in the publicsubnets. Update the MSK cluster security settings to enable mutual TLS authentication.
B. Create a new VPC that has public subnets. Deploy an MSK cluster in the publicsubnets. Update the MSK cluster security settings to enable mutual TLS authentication.
C. Deploy an Application Load Balancer (ALB) that uses private subnets. Configure an ALBsecurity group inbound rule to allow inbound traffic from the VPC CIDR block for HTTPSprotocol.
D. Deploy a Network Load Balancer (NLB) that uses private subnets. Configure an NLBlistener for HTTPS communication over the internet.

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