Your success starts here! 2246+ learners already passed with our SAA-C03 Dumps PDF.
31
Customers Passed Amazon SAA-C03
100%
Average Score In Real Exam At Testing Centre
93%
Questions came word by word from this dump
Choosing the Right Path for Your SAA-C03 Exam Preparation
Welcome to CertifyCerts’s complete guide for the AWS Certified Solutions Architect - Associate (SAA-C03) exam. Whether you’re just starting your cloud journey or aiming to boost your Amazon expertise, our SAA-C03 study materials are designed to help you prepare confidently and pass your exam on the first try.
What You’ll Get with CertifyCerts’s SAA-C03 Study Material
Our SAA-C03 Dumps PDF and online practice tools are built to make your preparation smooth, effective, and results-driven. Here’s what sets our materials apart:
Comprehensive Coverage
We’ve broken down every topic and concept covered in the SAA-C03 exam — from Amazon fundamentals to advanced architectural principles. Each concept is explained in simple, easy-to-understand language, making even complex topics feel approachable.
Real Exam Practice
Our online test engine lets you experience the real exam environment before test day. You’ll get access to a wide range of practice questions aligned with the latest exam objectives — complete with detailed explanations for correct and incorrect answers. It’s the perfect way to measure your progress and sharpen your test-taking skills.
Smart Exam Strategies
Passing the SAA-C03 isn’t just about memorizing facts — it’s about strategy. Our guide includes expert tips on managing time, tackling tricky questions, and staying calm under pressure so you can perform your best on exam day.
Hands-On Scenarios
We go beyond theory. You’ll explore real-world Amazon use cases and architecture examples that help you connect concepts to practical, day-to-day challenges in the IT field.
Why CertifyCerts?
Built by Amazon Experts
Our SAA-C03 Questions and Answers are developed by certified Amazon professionals who understand the exam inside out. You’re learning from people who’ve been through it and know what it takes to pass.
Full Exam Coverage
No shortcuts here — we cover every domain and objective of the SAA-C03 certification to make sure you’re ready for anything the exam throws your way.
Engaging and Easy to Learn
We believe learning should never feel boring. Our materials are structured in a clear, engaging way that keeps you motivated and focused throughout your preparation journey.
Proven Results
Thousands of learners have trusted CertifyCerts to earn their Amazon certifications — and their success stories speak for themselves. With our help, you can be next.
Start Your Amazon Journey Today
Take the first step toward becoming a certified AWS Solutions Architect Associate with CertifyCerts. Our up-to-date, expertly curated SAA-C03 study materials will guide you every step of the way — from your first study session to your certification success.
Get started today — your Amazon career breakthrough begins with CertifyCerts!
Amazon SAA-C03 Sample Question Answers
Question # 1
A company runs applications on AWS that connect to the company's Amazon RDSdatabase. The applications scale on weekends and at peak times of the year. Thecompany wants to scale the database more effectively for its applications that connect tothe database.Which solution will meet these requirements with the LEAST operational overhead?
A. Use Amazon DynamoDB with connection pooling with a target group configuration forthe database. Change the applications to use the DynamoDB endpoint. B. Use Amazon RDS Proxy with a target group for the database. Change the applicationsto use the RDS Proxy endpoint. C. Use a custom proxy that runs on Amazon EC2 as an intermediary to the database.Change the applications to use the custom proxy endpoint. D. Use an AWS Lambda function to provide connection pooling with a target groupconfiguration for the database. Change the applications to use the Lambda function.
Answer: B
Explanation:
Amazon RDS Proxy is a fully managed, highly available database proxy for Amazon
Relational Database Service (RDS) that makes applications more scalable, more resilient
to database failures, and more secure1. RDS Proxy allows applications to pool and share
connections established with the database, improving database efficiency and application
scalability2. RDS Proxy also reduces failover times for Aurora and RDS databases by up to
66% and enables IAM authentication and Secrets Manager integration for database
access1. RDS Proxy can be enabled for most applications with no code changes2.
Question # 2
A company wants to run its payment application on AWS The application receives paymentnotifications from mobile devices Payment notifications require a basic validation beforethey are sent for further processingThe backend processing application is long running and requires compute and memory tobe adjusted The company does not want to manage the infrastructureWhich solution will meet these requirements with the LEAST operational overhead?
A. Create an Amazon Simple Queue Service (Amazon SQS) queue Integrate the queuewith an Amazon EventBndge rule to receive payment notifications from mobile devicesConfigure the rule to validate payment notifications and send the notifications to the backend application Deploy the backend application on Amazon Elastic KubernetesService (Amazon EKS) Anywhere Create a standalone cluster B. Create an Amazon API Gateway API Integrate the API with anAWS Step Functionsstate machine to receive payment notifications from mobile devices Invoke the statemachine to validate payment notifications and send the notifications to the backendapplication Deploy the backend application on Amazon Elastic Kubernetes Sen/ice(Amazon EKS). Configure an EKS cluster with self-managed nodes. C. Create an Amazon Simple Queue Sen/ice (Amazon SQS) queue Integrate the queuewith an Amazon EventBridge rule to receive payment notifications from mobile devicesConfigure the rule to validate payment notifications and send the notifications to thebackend application Deploy the backend application on Amazon EC2 Spot InstancesConfigure a Spot Fleet with a default allocation strategy. D. Create an Amazon API Gateway API Integrate the API with AWS Lambda to receivepayment notifications from mobile devices Invoke a Lambda function to validate paymentnotifications and send the notifications to the backend application Deploy the backendapplication on Amazon Elastic Container Service (Amazon ECS). Configure Amazon ECSwith an AWS Fargate launch type.
Answer: D
Explanation:
This option is the best solution because it allows the company to run its payment
application on AWS with minimal operational overhead and infrastructure management. By
using Amazon API Gateway, the company can create a secure and scalable API to receive
payment notifications from mobile devices. By using AWS Lambda, the company can run a
serverless function to validate the payment notifications and send them to the backend
application. Lambda handles the provisioning, scaling, and security of the function,
reducing the operational complexity and cost. By using Amazon ECS with AWS Fargate,
the company can run the backend application on a fully managed container service that
scales the compute resources automatically and does not require any EC2 instances to
manage. Fargate allocates the right amount of CPU and memory for each container and
adjusts them as needed.
A. Create an Amazon Simple Queue Service (Amazon SQS) queue Integrate the queue
with an Amazon EventBndge rule to receive payment notifications from mobile devices
Configure the rule to validate payment notifications and send the notifications to the
backend application Deploy the backend application on Amazon Elastic Kubernetes
Service (Amazon EKS) Anywhere Create a standalone cluster. This option is not optimal
because it requires the company to manage the Kubernetes cluster that runs the backend
application. Amazon EKS Anywhere is a deployment option that allows the company to
create and operate Kubernetes clusters on-premises or in other environments outside
AWS. The company would need to provision, configure, scale, patch, and monitor the
cluster nodes, which can increase the operational overhead and complexity. Moreover, the
company would need to ensure the connectivity and security between the AWS services
and the EKS Anywhere cluster, which can also add challenges and risks. B. Create an Amazon API Gateway API Integrate the API with anAWS Step Functions
state ma-chine to receive payment notifications from mobile devices Invoke the state
machine to validate payment notifications and send the notifications to the backend
application Deploy the backend application on Amazon Elastic Kubernetes Sen/ice
(Amazon EKS). Configure an EKS cluster with self-managed nodes. This option is not ideal
because it requires the company to manage the EC2 instances that host the Kubernetes
cluster that runs the backend application. Amazon EKS is a fully managed service that runs
Kubernetes on AWS, but it still requires the company to manage the worker nodes that run
the containers. The company would need to provision, configure, scale, patch, and monitor
the EC2 instances, which can increase the operational overhead and infrastructure costs.
Moreover, using AWS Step Functions to validate the payment notifications may be
unnecessary and complex, as the validation logic can be implemented in a simpler way
with Lambda or other services.
C. Create an Amazon Simple Queue Sen/ice (Amazon SQS) queue Integrate the queue
with an Amazon EventBridge rule to receive payment notifications from mobile devices
Configure the rule to validate payment notifications and send the notifications to the
backend application Deploy the backend application on Amazon EC2 Spot Instances
Configure a Spot Fleet with a default al-location strategy. This option is not cost-effective
because it requires the company to manage the EC2 instances that run the backend
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, using Spot Instances can introduce the risk of interruptions, as Spot Instances
are reclaimed by AWS when the demand for On-Demand Instances increases. The
company would need to handle the interruptions gracefully and ensure the availability and
reliability of the backend application.
References:
1 Amazon API Gateway - Amazon Web Services
2 AWS Lambda - Amazon Web Services
3 Amazon Elastic Container Service - Amazon Web Services
4 AWS Fargate - Amazon Web Services
Question # 3
A company has multiple AWS accounts with applications deployed in the us-west-2 RegionApplication logs are stored within Amazon S3 buckets in each account The company wants to build a centralized log analysis solution that uses a single S3 bucket Logs must not leaveus-west-2, and the company wants to incur minimal operational overheadWhich solution meets these requirements and is MOST cost-effective?
A. Create an S3 Lifecycle policy that copies the objects from one of the application S3buckets to the centralized S3 bucket B. Use S3 Same-Region Replication to replicate logs from the S3 buckets to another S3bucket in us-west-2 Use this S3 bucket for log analysis. C. Write a script that uses the PutObject API operation every day to copy the entirecontents of the buckets to another S3 bucket in us-west-2 Use this S3 bucket for loganalysis. D. Write AWS Lambda functions in these accounts that are triggered every time logs aredelivered to the S3 buckets (s3 ObjectCreated a event) Copy the logs to another S3 bucketin us-west-2. Use this S3 bucket for log analysis.
Answer: B
Explanation: This solution meets the following requirements:
It is cost-effective, as it only charges for the storage and data transfer of the
replicated objects, and does not require any additional AWS services or custom
scripts. S3 Same-Region Replication (SRR) is a feature that automatically
replicates objects across S3 buckets within the same AWS Region. SRR can help
you aggregate logs from multiple sources to a single destination for analysis and
auditing. SRR also preserves the metadata, encryption, and access control of the
source objects.
It is operationally efficient, as it does not require any manual intervention or
scheduling. SRR replicates objects as soon as they are uploaded to the source
bucket, ensuring that the destination bucket always has the latest log data. SRR
also handles any updates or deletions of the source objects, keeping the
destination bucket in sync. SRR can be enabled with a few clicks in the S3 console
or with a simple API call.
It is secure, as it does not allow the logs to leave the us-west-2 Region. SRR only
replicates objects within the same AWS Region, ensuring that the data sovereignty
and compliance requirements are met. SRR also supports encryption of the source
and destination objects, using either server-side encryption with AWS KMS or S3-
managed keys, or client-side encryption.
References:
Same-Region Replication - Amazon Simple Storage Service
How do I replicate objects across S3 buckets in the same AWS Region?
A company runs a highly available web application on Amazon EC2 instances behind anApplication Load Balancer The company uses Amazon CloudWatch metricsAs the traffic to the web application Increases, some EC2 instances become overloadedwith many outstanding requests The CloudWatch metrics show that the number of requestsprocessed and the time to receive the responses from some EC2 instances are both highercompared to other EC2 instances The company does not want new requests to beforwarded to the EC2 instances that are already overloaded.Which solution will meet these requirements?
A. Use the round robin routing algorithm based on the RequestCountPerTarget and ActiveConnection Count CloudWatch metrics. B. Use the least outstanding requests algorithm based on the RequestCountPerTarget andActiveConnectionCount CloudWatch metrics. C. Use the round robin routing algorithm based on the RequestCount andTargetResponseTime CloudWatch metrics. D. Use the least outstanding requests algorithm based on the RequestCount andTargetResponseTime CloudWatch metrics.
Answer: D
Explanation: The least outstanding requests (LOR) algorithm is a load balancing algorithm
that distributes incoming requests to the target with the fewest outstanding requests. This
helps to avoid overloading any single target and improves the overall performance and
availability of the web application. The LOR algorithm can use the RequestCount and
TargetResponseTime CloudWatch metrics to determine the number of outstanding
requests and the response time of each target. These metrics measure the number of
requests processed by each target and the time elapsed after the request leaves the load
balancer until a response from the target is received by the load balancer, respectively. By
using these metrics, the LOR algorithm can route new requests to the targets that are less
busy and more responsive, and avoid sending requests to the targets that are already
overloaded or slow. This solution meets the requirements of the company.
References:
Application Load Balancer now supports Least Outstanding Requests algorithm for
An analytics company uses Amazon VPC to run its multi-tier services. The company wantsto use RESTful APIs to offer a web analytics service to millions of users. Users must beverified by using an authentication service to access the APIs.Which solution will meet these requirements with the MOST operational efficiency?
A. Configure an Amazon Cognito user pool for user authentication. Implement Amazon APIGateway REST APIs with a Cognito authorizer. B. Configure an Amazon Cognito identity pool for user authentication. Implement AmazonAPI Gateway HTTP APIs with a Cognito authorizer. C. Configure an AWS Lambda function to handle user authentication. Implement AmazonAPI Gateway REST APIs with a Lambda authorizer. D. Configure an 1AM user to handle user authentication. Implement Amazon API GatewayHTTP APIs with an 1AM authorizer.
Answer: A
Explanation: This solution will meet the requirements with the most operational efficiency
because:
Amazon Cognito user pools provide a secure and scalable user directory that can
store and manage user profiles, and handle user sign-up, sign-in, and access
control. User pools can also integrate with social identity providers and enterprise
identity providers via SAML or OIDC. User pools can issue JSON Web Tokens
(JWTs) that can be used to authenticate users and authorize API requests.
Amazon API Gateway REST APIs enable you to create and deploy APIs that
expose your backend services to your clients. REST APIs support multiple
authorization mechanisms, including Cognito user pools, IAM, Lambda, and
custom authorizers. A Cognito authorizer is a type of Lambda authorizer that uses
a Cognito user pool as the identity source. When a client makes a request to a
REST API method that is configured with a Cognito authorizer, API Gateway
verifies the JWTs that are issued by the user pool and grants access based on the
token’s claims and the authorizer’s configuration.
By using Cognito user pools and API Gateway REST APIs with a Cognito
authorizer, you can achieve a high level of security, scalability, and performance
for your web analytics service. You can also leverage the built-in features of
Cognito and API Gateway, such as user management, token validation, caching,
throttling, and monitoring, without having to implement them yourself. This reduces
the operational overhead and complexity of your solution.
References:
Amazon Cognito User Pools
Amazon API Gateway REST APIs
Use API Gateway Lambda authorizers
Question # 6
A company has an AWS Direct Connect connection from its on-premises location to anAWS account The AWS account has 30 different VPCs in the same AWS Region TheVPCs use private virtual interfaces (VIFs) Each VPC has a CIDR block that does notoverlap with other networks under the company's controlThe company wants to centrally manage the networking architecture while still allowingeach VPC to communicate with all other VPCs and on-premises networksWhich solution will meet these requirements with the LEAST amount of operationaloverhead?
A. Create a transit gateway and associate the Direct Connect connection with a new transitVIF Turn on the transit gateway's route propagation feature B. Create a Direct Connect gateway Recreate the private VIFs to use the new gatewayAssociate each VPC by creating new virtual private gateways C. Create a transit VPC Connect the Direct Connect connection to the transit VPC Create apeenng connection between all other VPCs in the Region Update the route tables D. Create AWS Site-to-Site VPN connections from on premises to each VPC Ensure thatboth VPN tunnels are UP for each connection Turn on the route propagation feature
Answer: A
Explanation: This solution meets the following requirements:
It is operationally efficient, as it only requires one transit gateway and one transit
VIF to connect the Direct Connect connection to all the VPCs in the same AWS
Region. The transit gateway acts as a regional network hub that simplifies the
network management and reduces the number of VIFs and gateways needed.
It is scalable, as it can support up to 5000 attachments per transit gateway, which
can include VPCs, VPNs, Direct Connect gateways, and peering connections. The
transit gateway can also be connected to other transit gateways in different
Regions or accounts using peering connections, enabling cross-Region and cross-account connectivity.
It is flexible, as it allows each VPC to communicate with all other VPCs and onpremises
networks using dynamic routing protocols such as Border Gateway
Protocol (BGP). The transit gateway’s route propagation feature automatically
propagates the routes from the attached VPCs and VPNs to the transit gateway
route table, eliminating the need to manually update the route tables.
References:
Transit Gateways - Amazon Virtual Private Cloud
Working with transit gateways - AWS Direct Connect
A solutions architect is designing a shared storage solution for a web application that isdeployed across multiple Availability Zones The web application runs on Amazon EC2instances that are in an Auto Scaling group The company plans to make frequent changesto the content The solution must have strong consistency in returning the new content assoon as the changes occur.Which solutions meet these requirements? (Select TWO)
A. Use AWS Storage Gateway Volume Gateway Internet Small Computer SystemsInterface (iSCSI) block storage that is mounted to the individual EC2 instances B. Create an Amazon Elastic File System (Amazon EFS) file system Mount the EFS filesystem on the individual EC2 instances C. Create a shared Amazon Elastic Block Store (Amazon EBS) volume. Mount the EBSvolume on the individual EC2 instances. D. Use AWS DataSync to perform continuous synchronization of data between EC2 hostsin the Auto Scaling group E. Create an Amazon S3 bucket to store the web content Set the metadata for the Cache-Control header to no-cache Use Amazon CloudFront to deliver the content
Answer: B,E
Explanation: These options are the most suitable ways to design a shared storage
solution for a web application that is deployed across multiple Availability Zones and
requires strong consistency. Option B uses Amazon Elastic File System (Amazon EFS) as
a shared file system that can be mounted on multiple EC2 instances in different Availability
Zones. Amazon EFS provides high availability, durability, scalability, and performance for
file-based workloads. It also supports strong consistency, which means that any changes
made to the file system are immediately visible to all clients. Option E uses Amazon S3 as
a shared object store that can store the web content and serve it through Amazon
CloudFront, a content delivery network (CDN). Amazon S3 provides high availability,
durability, scalability, and performance for object-based workloads. It also supports strong
consistency for read-after-write and list operations, which means that any changes made to
the objects are immediately visible to all clients. By setting the metadata for the Cache-
Control header to no-cache, the web content can be prevented from being cached by the
browsers or the CDN edge locations, ensuring that the latest content is always delivered to
the users.
Option A is not suitable because using AWS Storage Gateway Volume Gateway as a
shared storage solution for a web application is not efficient or scalable. AWS Storage
Gateway Volume Gateway is a hybrid cloud storage service that provides block storage
volumes that can be mounted on-premises or on EC2 instances as iSCSI devices. It is
useful for migrating or backing up data to AWS, but it is not designed for serving web
content or providing strong consistency. Moreover, using Volume Gateway would incur
additional costs and complexity, and it would not leverage the native AWS storage
services.
Option C is not suitable because creating a shared Amazon EBS volume and mounting it
on multiple EC2 instances is not possible or reliable. Amazon EBS is a block storage
service that provides persistent and high-performance volumes for EC2 instances.
However, EBS volumes can only be attached to one EC2 instance at a time, and they are
constrained to a single Availability Zone. Therefore, creating a shared EBS volume for a
web application that is deployed across multiple Availability Zones is not feasible.
Moreover, EBS volumes do not support strong consistency, which means that any changes
made to the volume may not be immediately visible to other clients.
Option D is not suitable because using AWS DataSync to perform continuous
synchronization of data between EC2 hosts in the Auto Scaling group is not efficient or
scalable. AWS DataSync is a data transfer service that helps you move large amounts of
data to and from AWS storage services. It is useful for migrating or archiving data, but it is
not designed for serving web content or providing strong consistency. Moreover, using
DataSync would incur additional costs and complexity, and it would not leverage the native AWS storage services. References:
What Is Amazon Elastic File System?
What Is Amazon Simple Storage Service?
What Is Amazon CloudFront?
What Is AWS Storage Gateway?
What Is Amazon Elastic Block Store?
What Is AWS DataSync?
Question # 8
A company needs to extract the names of ingredients from recipe records that are storedas text files in an Amazon S3 bucket A web application will use the ingredient names toquery an Amazon DynamoDB table and determine a nutrition score.The application can handle non-food records and errors The company does not have anyemployees who have machine learning knowledge to develop this solutionWhich solution will meet these requirements MOST cost-effectively?
A. Use S3 Event Notifications to invoke an AWS Lambda function when PutObjectrequests occur Program the Lambda function to analyze the object and extract theingredient names by using Amazon Comprehend Store the Amazon Comprehend output inthe DynamoDB table. B. Use an Amazon EventBridge rule to invoke an AWS Lambda function when PutObjectrequests occur. Program the Lambda function to analyze the object by using AmazonForecast to extract the ingredient names Store the Forecast output in the DynamoDB table. C. Use S3 Event Notifications to invoke an AWS Lambda function when PutObjectrequests occur Use Amazon Polly to create audio recordings of the recipe records. Savethe audio files in the S3 bucket Use Amazon Simple Notification Service (Amazon SNS) tosend a URL as a message to employees Instruct the employees to listen to the audio filesand calculate the nutrition score Store the ingredient names in the DynamoDB table. D. Use an Amazon EventBridge rule to invoke an AWS Lambda function when a PutObjectrequest occurs Program the Lambda function to analyze the object and extract theingredient names by using Amazon SageMaker Store the inference output from theSageMaker endpoint in the DynamoDB table.
Answer: A
Explanation: This solution meets the following requirements:
It is cost-effective, as it only uses serverless components that are charged based
on usage and do not require any upfront provisioning or maintenance.
It is scalable, as it can handle any number of recipe records that are uploaded to
the S3 bucket without any performance degradation or manual intervention.
It is easy to implement, as it does not require any machine learning knowledge or
complex data processing logic. Amazon Comprehend is a natural language
processing service that can automatically extract entities such as ingredients from
text files. The Lambda function can simply invoke the Comprehend API and store
the results in the DynamoDB table.
It is reliable, as it can handle non-food records and errors gracefully. Amazon
Comprehend can detect the language and domain of the text files and return an
appropriate response. The Lambda function can also implement error handling
and logging mechanisms to ensure the data quality and integrity.
References:
Using AWS Lambda with Amazon S3 - AWS Lambda
What Is Amazon Comprehend? - Amazon Comprehend
Working with Tables - Amazon DynamoDB
Question # 9
A company has a new mobile app. Anywhere in the world, users can see local news ontopics they choose. Users also can post photos and videos from inside the app.Users access content often in the first minutes after the content is posted. New contentquickly replaces older content, and then the older content disappears. The local nature ofthe news means that users consume 90% of the content within the AWS Region where it isuploaded.Which solution will optimize the user experience by providing the LOWEST latency forcontent uploads?
A. Upload and store content in Amazon S3. Use Amazon CloudFront for the uploads. B. Upload and store content in Amazon S3. Use S3 Transfer Acceleration for the uploads. C. Upload content to Amazon EC2 instances in the Region that is closest to the user. Copythe data to Amazon S3. D. Upload and store content in Amazon S3 in the Region that is closest to the user. Usemultiple distributions of Amazon CloudFront.
Answer: B
Explanation: The most suitable solution for optimizing the user experience by providing
the lowest latency for content uploads is to upload and store content in Amazon S3 and
use S3 Transfer Acceleration for the uploads. This solution will enable the company to
leverage the AWS global network and edge locations to speed up the data transfer
between the users and the S3 buckets.
Amazon S3 is a storage service that provides scalable, durable, and highly available object
storage for any type of data. Amazon S3 allows users to store and retrieve data from
anywhere on the web, and offers various features such as encryption, versioning, lifecycle
management, and replication1.
S3 Transfer Acceleration is a feature of Amazon S3 that helps users transfer data to and
from S3 buckets more quickly. S3 Transfer Acceleration works by using optimized network
paths and Amazon’s backbone network to accelerate data transfer speeds. Users can
enable S3 Transfer Acceleration for their buckets and use a distinct URL to access them,
such as <bucket>.s3-accelerate.amazonaws.com2.
The other options are not correct because they either do not provide the lowest latency or
are not suitable for the use case. Uploading and storing content in Amazon S3 and using Amazon CloudFront for the uploads is not correct because this solution is not designed for
optimizing uploads, but rather for optimizing downloads. Amazon CloudFront is a content
delivery network (CDN) that helps users distribute their content globally with low latency
and high transfer speeds. CloudFront works by caching the content at edge locations
around the world, so that users can access it quickly and easily from anywhere3. Uploading
content to Amazon EC2 instances in the Region that is closest to the user and copying the
data to Amazon S3 is not correct because this solution adds unnecessary complexity and
cost to the process. Amazon EC2 is a computing service that provides scalable and secure
virtual servers in the cloud. Users can launch, stop, or terminate EC2 instances as needed,
and choose from various instance types, operating systems, and configurations4.
Uploading and storing content in Amazon S3 in the Region that is closest to the user and
using multiple distributions of Amazon CloudFront is not correct because this solution is not
cost-effective or efficient for the use case. As mentioned above, Amazon CloudFront is a
CDN that helps users distribute their content globally with low latency and high transfer
speeds. However, creating multiple CloudFront distributions for each Region would incur
additional charges and management overhead, and would not be necessary since 90% of
the content is consumed within the same Region where it is uploaded3.
References:
What Is Amazon Simple Storage Service? - Amazon Simple Storage Service
Amazon S3 Transfer Acceleration - Amazon Simple Storage Service
What Is Amazon CloudFront? - Amazon CloudFront
What Is Amazon EC2? - Amazon Elastic Compute Cloud
Question # 10
An ecommerce application uses a PostgreSQL database that runs on an Amazon EC2instance. During a monthly sales event, database usage increases and causes databaseconnection issues for the application. The traffic is unpredictable for subsequent monthlysales events, which impacts the sales forecast. The company needs to maintainperformance when there is an unpredictable increase in traffic.Which solution resolves this issue in the MOST cost-effective way?
A. Migrate the PostgreSQL database to Amazon Aurora Serverless v2. B. Enable auto scaling for the PostgreSQL database on the EC2 instance to accommodateincreased usage. C. Migrate the PostgreSQL database to Amazon RDS for PostgreSQL with a largerinstance type D. Migrate the PostgreSQL database to Amazon Redshift to accommodate increasedusage
Answer: A
Explanation: Amazon Aurora Serverless v2 is a cost-effective solution that can
automatically scale the database capacity up and down based on the application’s needs. It
can handle unpredictable traffic spikes without requiring any provisioning or management
of database instances. It is compatible with PostgreSQL and offers high performance,
A company's marketing data is uploaded from multiple sources to an Amazon S3 bucket A series ot data preparation jobs aggregate the data for reporting The data preparation jobsneed to run at regular intervals in parallel A few jobs need to run in a specific order laterThe company wants to remove the operational overhead of job error handling retry logic,and state managementWhich solution will meet these requirements?
A. Use an AWS Lambda function to process the data as soon as the data is uploaded tothe S3 bucket Invoke Other Lambda functions at regularly scheduled intervals B. Use Amazon Athena to process the data Use Amazon EventBndge Scheduler to invokeAthena on a regular internal C. Use AWS Glue DataBrew to process the data Use an AWS Step Functions statemachine to run the DataBrew data preparation jobs D. Use AWS Data Pipeline to process the data. Schedule Data Pipeline to process the dataonce at midnight.
Answer: C
Explanation: AWS Glue DataBrew is a visual data preparation tool that allows you to
easily clean, normalize, and transform your data without writing any code. You can create
and run data preparation jobs on your data stored in Amazon S3, Amazon Redshift, or
other data sources. AWS Step Functions is a service that lets you coordinate multiple AWS
services into serverless workflows. You can use Step Functions to orchestrate your
DataBrew jobs, define the order and parallelism of execution, handle errors and retries, and
monitor the state of your workflow. By using AWS Glue DataBrew and AWS Step
Functions, you can meet the requirements of the company with minimal operational
overhead, as you do not need to write any code, manage any servers, or deal with complex
dependencies.
References:
AWS Glue DataBrew
AWS Step Functions
Orchestrate AWS Glue DataBrew jobs using AWS Step Functions
Question # 12
A research company uses on-premises devices to generate data for analysis. Thecompany wants to use the AWS Cloud to analyze the data. The devices generate .csv filesand support writing the data to SMB file share. Company analysts must be able to use SQLcommands to query the data. The analysts will run queries periodically throughout the day.Which combination of steps will meet these requirements MOST cost-effectively? (SelectTHREE.)
A. Deploy an AWS Storage Gateway on premises in Amazon S3 File Gateway mode. B. Deploy an AWS Storage Gateway on premises in Amazon FSx File Gateway mode. C. Set up an AWS Glue crawler to create a table based on the data that is in Amazon S3. D. Set up an Amazon EMR cluster with EMR Fife System (EMRFS) to query the data thatis in Amazon S3. Provide access to analysts. E. Set up an Amazon Redshift cluster to query the data that is in Amazon S3. Provideaccess to analysts. F. Set up Amazon Athena to query the data that is in Amazon S3. Provide access toanalysts.
Answer: A,C,F
Explanation: To meet the requirements of the use case in a cost-effective way, the
following steps are recommended:
Deploy an AWS Storage Gateway on premises in Amazon S3 File Gateway mode.
This will allow the company to write the .csv files generated by the devices to an
SMB file share, which will be stored as objects in Amazon S3 buckets. AWS
Storage Gateway is a hybrid cloud storage service that integrates on-premises
environments with AWS storage. Amazon S3 File Gateway mode provides a
seamless way to connect to Amazon S3 and access a virtually unlimited amount of
cloud storage1.
Set up an AWS Glue crawler to create a table based on the data that is in Amazon
S3. This will enable the company to use standard SQL to query the data stored in
Amazon S3 buckets. AWS Glue is a serverless data integration service that
simplifies data preparation and analysis. AWS Glue crawlers can automatically
discover and classify data from various sources, and create metadata tables in the
AWS Glue Data Catalog2. The Data Catalog is a central repository that stores
information about data sources and how to access them3.
Set up Amazon Athena to query the data that is in Amazon S3. This will provide
the company analysts with a serverless and interactive query service that can
analyze data directly in Amazon S3 using standard SQL. Amazon Athena is
integrated with the AWS Glue Data Catalog, so users can easily point Athena at
the data source tables defined by the crawlers. Amazon Athena charges only for
the queries that are run, and offers a pay-per-query pricing model, which makes it
a cost-effective option for periodic queries4.
The other options are not correct because they are either not cost-effective or not suitable
for the use case. Deploying an AWS Storage Gateway on premises in Amazon FSx File
Gateway mode is not correct because this mode provides low-latency access to fully
managed Windows file shares in AWS, which is not required for the use case. Setting up
an Amazon EMR cluster with EMR File System (EMRFS) to query the data that is in
Amazon S3 is not correct because this option involves setting up and managing a cluster of
EC2 instances, which adds complexity and cost to the solution. Setting up an Amazon
Redshift cluster to query the data that is in Amazon S3 is not correct because this option
also involves provisioning and managing a cluster of nodes, which adds overhead and cost
to the solution.
References:
What is AWS Storage Gateway?
What is AWS Glue?
AWS Glue Data Catalog
What is Amazon Athena?
Question # 13
A company website hosted on Amazon EC2 instances processes classified data stored inThe application writes data to Amazon Elastic Block Store (Amazon EBS) volumes Thecompany needs to ensure that all data that is written to the EBS volumes is encrypted atrest.Which solution will meet this requirement?
A. Create an 1AM role that specifies EBS encryption Attach the role to the EC2 instances B. Create the EBS volumes as encrypted volumes Attach the EBS volumes to the EC2instances C. Create an EC2 instance tag that has a key of Encrypt and a value of True Tag allinstances that require encryption at the EBS level D. Create an AWS Key Management Service (AWS KMS) key policy that enforces EBSencryption in the account Ensure that the key policy is active
Answer: B
Explanation: The simplest and most effective way to ensure that all data that is written to
the EBS volumes is encrypted at rest is to create the EBS volumes as encrypted volumes.
You can do this by selecting the encryption option when you create a new EBS volume, or
by copying an existing unencrypted volume to a new encrypted volume. You can also
specify the AWS KMS key that you want to use for encryption, or use the default AWSmanaged
key. When you attach the encrypted EBS volumes to the EC2 instances, the data
will be automatically encrypted and decrypted by the EC2 host. This solution does not
require any additional IAM roles, tags, or policies. References:
Amazon EBS encryption
Creating an encrypted EBS volume
Encrypting an unencrypted EBS volume
Question # 14
A company has Amazon EC2 instances that run nightly batch jobs to process data. TheEC2 instances run in an Auto Scaling group that uses On-Demand billing. If a job fails onone instance: another instance will reprocess the job. The batch jobs run between 12:00AM and 06 00 AM local time every day.Which solution will provide EC2 instances to meet these requirements MOST cost-effectively'?
A. Purchase a 1-year Savings Plan for Amazon EC2 that covers the instance family of theAuto Scaling group that the batch job uses. B. Purchase a 1-year Reserved Instance for the specific instance type and operatingsystem of the instances in the Auto Scaling group that the batch job uses. C. Create a new launch template for the Auto Scaling group Set the instances to SpotInstances Set a policy to scale out based on CPU usage. D. Create a new launch template for the Auto Scaling group Increase the instance size Seta policy to scale out based on CPU usage.
Answer: C
Explanation: This option is the most cost-effective solution because it leverages the Spot
Instances, which are unused EC2 instances that are available at up to 90% discount
compared to On-Demand prices. Spot Instances can be interrupted by AWS when the
demand for On-Demand instances increases, but since the batch jobs are fault-tolerant and
can be reprocessed by another instance, this is not a major issue. By using a launch
template, the company can specify the configuration of the Spot Instances, such as the
instance type, the operating system, and the user data. By using an Auto Scaling group,
the company can automatically scale the number of Spot Instances based on the CPU
usage, which reflects the load of the batch jobs. This way, the company can optimize the
performance and the cost of the EC2 instances for the nightly batch jobs.
A. Purchase a 1-year Savings Plan for Amazon EC2 that covers the instance family of the
Auto Scaling group that the batch job uses. This option is not optimal because it requires a
commitment to a consistent amount of compute usage per hour for a one-year term,
regardless of the instance type, size, region, or operating system. This can limit the flexibility and scalability of the Auto Scaling group and result in overpaying for unused
compute capacity. Moreover, Savings Plans do not provide a capacity reservation, which
means the company still needs to reserve capacity with On-Demand Capacity
Reservations and pay lower prices with Savings Plans.
B. Purchase a 1-year Reserved Instance for the specific instance type and operating
system of the instances in the Auto Scaling group that the batch job uses. This option is not
ideal because it requires a commitment to a specific instance configuration for a one-year
term, which can reduce the flexibility and scalability of the Auto Scaling group and result in
overpaying for unused compute capacity. Moreover, Reserved Instances do not provide a
capacity reservation, which means the company still needs to reserve capacity with On-
Demand Capacity Reservations and pay lower prices with Reserved Instances.
D. Create a new launch template for the Auto Scaling group Increase the instance size Set
a policy to scale out based on CPU usage. This option is not cost-effective because it does
not take advantage of the lower prices of Spot Instances. Increasing the instance size can
improve the performance of the batch jobs, but it can also increase the cost of the On-
Demand instances. Moreover, scaling out based on CPU usage can result in launching
more instances than needed, which can also increase the cost of the system.
References:
1 Spot Instances - Amazon Elastic Compute Cloud
2 Launch templates - Amazon Elastic Compute Cloud
3 Auto Scaling groups - Amazon EC2 Auto Scaling
[4] Savings Plans - Amazon EC2 Reserved Instances and Other AWS Reservation
Models
Question # 15
A company hosts a three-tier web application in the AWS Cloud. A Multi-AZ Amazon RDSfor MySQL server forms the database layer. Amazon ElastiCache forms the cache layer.The company wants a caching strategy that adds or updates data in the cache when acustomer adds an item to the database. The data in the cache must always match the datain the database.Which solution will meet these requirements?
A. Implement the lazy loading caching strategy B. Implement the write-through caching strategy. C. Implement the adding TTL caching strategy. D. Implement the AWS AppConfig caching strategy.
Answer: B
Explanation: A write-through caching strategy adds or updates data in the cache
whenever data is written to the database. This ensures that the data in the cache is always
consistent with the data in the database. A write-through caching strategy also reduces the
cache miss penalty, as data is always available in the cache when it is requested.
However, a write-through caching strategy can increase the write latency, as data has to be
written to both the cache and the database. A write-through caching strategy is suitable for
applications that require high data consistency and low read latency.
A lazy loading caching strategy only loads data into the cache when it is requested, and
updates the cache when there is a cache miss. This can result in stale data in the cache,
as data is not updated in the cache when it is changed in the database. A lazy loading
caching strategy is suitable for applications that can tolerate some data inconsistency and
have a low cache miss rate.
An adding TTL caching strategy assigns a time-to-live (TTL) value to each data item in the cache, and removes the data from the cache when the TTL expires. This can help prevent
stale data in the cache, as data is periodically refreshed from the database. However, an
adding TTL caching strategy can also increase the cache miss rate, as data can be evicted
from the cache before it is requested. An adding TTL caching strategy is suitable for
applications that have a high cache hit rate and can tolerate some data inconsistency.
An AWS AppConfig caching strategy is not a valid option, as AWS AppConfig is a service
that enables customers to quickly deploy validated configurations to applications of any
size and scale. AWS AppConfig does not provide a caching layer for web applications.
References: Caching strategies - Amazon ElastiCache, Caching for high-volume workloads
with Amazon ElastiCache
Your Success, Their Words: Honest Reviews on Our Amazon SAA-C03 Exam Dumps
I passed my SAA-C03 today! Although the architecture scenario questions were challenging, they were manageable with consistent practice.
Avantika Vohra
Many thanks to Certifycerts; their PDF + Test Engine combination made it easier for me to comprehend reliability, networking, and storage patterns. left the test with an 854 score!
Daniel Dijkstra
SAA-C03 cleared—well worth the work.
Leon Gross
I initially had trouble with VPC and hybrid connectivity, but I eventually gained confidence by solving practice problems and revising every day. I'm happy to report that I passed SAA-C03 on my first try.
Aliyah Wright
The exam felt familiar because I used practice labs for practical preparation. Feeling relieved and prepared for the following certification, SAA-C03 passed without any shocks.
Avantika Vohra
Daniel Dijkstra
Leon Gross
Aliyah Wright
Bernard Schäfer
