Amazon SAA-C03 Exam Practice Test Instant Access

Question 1

A company wants to run an in-memory database for a latency-sensitive application that runs on Amazon EC2 instances. The application processes more than 100,000 transactions each minute and requires high network throughput. A solutions architect needs to provide a cost-effective network design that minimizes data transfer charges.

Which solution meets these requirements?

ALaunch all EC2 instances in the same Availability Zone within the same AWS Region. Specify a placement group with cluster strategy when launching EC2 instances.

BLaunch all EC2 instances in different Availability Zones within the same AWS Region. Specify a placement group with partition strategy when launching EC2 instances.

CDeploy an Auto Scaling group to launch EC2 instances in different Availability Zones based on a network utilization target.

DDeploy an Auto Scaling group with a step scaling policy to launch EC2 instances in different Availability Zones.

Answer : A

* Launching instances within a single AZ and using a cluster placement group provides the lowest network latency and highest bandwidth between instances. This maximizes performance for an in-memory database and high-throughput application.

* Communications between instances in the same AZ and placement group are free, minimizing data transfer charges. Inter-AZ and public IP traffic can incur charges.

* A cluster placement group enables the instances to be placed close together within the AZ, allowing the high network throughput required. Partition groups span AZs, reducing bandwidth.

* Auto Scaling across zones could launch instances in AZs that increase data transfer charges. It may reduce network throughput, impacting performance.

Question 2

A company runs a web application that is backed by Amazon RDS. A new database administrator caused data loss by accidentally editing information in a database table To help recover from this type of incident, the company wants the ability to restore the database to its state from 5 minutes before any change within the last 30 days.

Which feature should the solutions architect include in the design to meet this requirement?

ARead replicas

BManual snapshots

CAutomated backups

DMulti-AZ deployments

Answer : C

https://aws.amazon.com/rds/features/backup/

Automated backups, will meet the requirement. Amazon RDS allows you to automatically create backups of your DB instance. Automated backups enable point-in-time recovery (PITR) for your DB instance down to a specific second within the retention period, which can be up to 35 days. By setting the retention period to 30 days, the company can restore the database to its state from up to 5 minutes before any change within the last 30 days.

Question 3

A company is deploying a new application on Amazon EC2 instances. The application writes data to Amazon Elastic Block Store (Amazon EBS) volumes. The company needs to ensure that all data that is written to the EBS volumes is encrypted at rest.

Which solution wil meet this requirement?

ACreate an IAM role that specifies EBS encryption. Attach the role to the EC2 instances.

BCreate the EBS volumes as encrypted volumes Attach the EBS volumes to the EC2 instances.

CCreate an EC2 instance tag that has a key of Encrypt and a value of True. Tag all instances that require encryption at the ESS level.

DCreate an AWS Key Management Service (AWS KMS) key policy that enforces EBS encryption in the account Ensure that the key policy is active.

Answer : B

The solution that will meet the requirement of ensuring that all data that is written to the EBS volumes is encrypted at rest is B. Create the EBS volumes as encrypted volumes and attach the encrypted EBS volumes to the EC2 instances. When you create an EBS volume, you can specify whether to encrypt the volume. If you choose to encrypt the volume, all data written to the volume is automatically encrypted at rest using AWS-managed keys. You can also use customer-managed keys (CMKs) stored in AWS KMS to encrypt and protect your EBS volumes. You can create encrypted EBS volumes and attach them to EC2 instances to ensure that all data written to the volumes is encrypted at rest.

Question 4

A company is migrating its on-premises PostgreSQL database to Amazon Aurora PostgreSQL. The on-premises database must remain online and accessible during the migration. The Aurora database must remain synchronized with the on-premises database.

Which combination of actions must a solutions architect take to meet these requirements? (Choose two.)

ACreate an ongoing replication task.

BCreate a database backup of the on-premises database

CCreate an AWS Database Migration Service (AWS DMS) replication server

DConvert the database schema by using the AWS Schema Conversion Tool (AWS SCT).

ECreate an Amazon EventBridge (Amazon CloudWatch Events) rule to monitor the database synchronization

Answer : A, C

AWS Database Migration Service supports homogeneous migrations such as Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as Oracle or Microsoft SQL Server to Amazon Aurora. With AWS Database Migration Service, you can also continuously replicate data with low latency from any supported source to any supported target. For example, you can replicate from multiple sources to Amazon Simple Storage Service (Amazon S3) to build a highly available and scalable data lake solution. You can also consolidate databases into a petabyte-scale data warehouse by streaming data to Amazon Redshift. Learn more about the supported source and target databases.https://aws.amazon.com/dms/

Question 5

A media company is using video conversion tools that run on Amazon EC2 instances. The video conversion tools run on a combination of Windows EC2 instances and Linux EC2 instances. Each video file is tens of gigabytes in size. The video conversion tools must process the video files in the shortest possible amount of time. The company needs a single, centralized file storage solution that can be mounted on all the EC2 instances that host the video conversion tools.

Which solution will meet these requirements?

ADeploy Amazon FSx for Windows File Server with hard disk drive (HDD) storage.

BDeploy Amazon FSx for Windows File Server with solid state drive (SSD) storage.

CDeploy Amazon Elastic File System (Amazon EFS) with Max I/O performance mode.

DDeploy Amazon Elastic File System (Amazon EFS) with General Purpose performance mode.

Answer : C

Amazon EFSwithMax I/O performance modeis designed for workloads that require high levels of parallelism, such as video processing across multiple EC2 instances. EFS provides shared file storage that can be mounted on both Windows and Linux EC2 instances, and the Max I/O mode ensures the best performance for handling large files and concurrent access across multiple instances.

Option A and B (FSx for Windows File Server): FSx for Windows File Server is optimized for Windows workloads and would not be ideal for Linux instances or high-throughput, parallel workloads.

Option D (EFS General Purpose mode): General Purpose mode offers lower latency but doesn't support the high throughput needed for large, concurrent workloads.

AWS Reference:

Amazon EFS Performance Modes

Question 6

A company has deployed a server less application that invokes an AWS Lambda function when new documents are uploaded to an Amazon S3 bucket The application uses the Lambda function to process the documents After a recent marketing campaign the company noticed that the application did not process many of The documents

What should a solutions architect do to improve the architecture of this application?

ASet the Lambda function's runtime timeout value to 15 minutes

BConfigure an S3 bucket replication policy Stage the documents m the S3 bucket for later processing

CDeploy an additional Lambda function Load balance the processing of the documents across the two Lambda functions

DCreate an Amazon Simple Queue Service (Amazon SOS) queue Send the requests to the queue Configure the queue as an event source for Lambda.

Answer : D

To improve the architecture of this application, the best solution would be to use Amazon Simple Queue Service (Amazon SQS) to buffer the requests and decouple the S3 bucket from the Lambda function. This will ensure that the documents are not lost and can be processed at a later time if the Lambda function is not available. This will ensure that the documents are not lost and can be processed at a later time if the Lambda function is not available. By using Amazon SQS, the architecture is decoupled and the Lambda function can process the documents in a scalable and fault-tolerant manner

Question 7

How can trade data from DynamoDB be ingested into an S3 data lake for near real-time analysis?

AUse DynamoDB Streams to invoke a Lambda function that writes to S3.

BUse DynamoDB Streams to invoke a Lambda function that writes to Data Firehose, which writes to S3.

CEnable Kinesis Data Streams on DynamoDB. Configure it to invoke a Lambda function that writes to S3.

DEnable Kinesis Data Streams on DynamoDB. Use Data Firehose to write to S3.

Answer : A

Option Ais the simplest solution, using DynamoDB Streams and Lambda for real-time ingestion into S3.

Options B, C, and Dadd unnecessary complexity with Data Firehose or Kinesis.

Amazon AWS Certified Solutions Architect - Associate SAA-C03 Exam Practice Test