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Amazon SAA-C03 Exam (page: 1)
Amazon AWS Certified Solutions Architect - Associate SAA-C03
Updated on: 31-Mar-2026

Viewing Page 1 of 129
SAA-C03 PDF 824 Questions

A company collects data for temperature, humidity, and atmospheric pressure in cities across multiple continents. The average volume of data that the company collects from each site daily is 500 GB. Each site has a high-speed Internet connection.
The company wants to aggregate the data from all these global sites as quickly as possible in a single Amazon S3 bucket. The solution must minimize operational complexity.
Which solution meets these requirements?

  1. Turn on S3 Transfer Acceleration on the destination S3 bucket. Use multipart uploads to directly upload site data to the destination S3 bucket.
  2. Upload the data from each site to an S3 bucket in the closest Region. Use S3 Cross-Region Replication to copy objects to the destination S3 bucket. Then remove the data from the origin S3 bucket.
  3. Schedule AWS Snowball Edge Storage Optimized device jobs daily to transfer data from each site to the closest Region. Use S3 Cross-Region Replication to copy objects to the destination S3 bucket.
  4. Upload the data from each site to an Amazon EC2 instance in the closest Region. Store the data in an Amazon Elastic Block Store (Amazon EBS) volume. At regular intervals, take an EBS snapshot and copy it to the Region that contains the destination S3 bucket. Restore the EBS volume in that Region.

Answer(s): A

Explanation:

S3 Transfer Acceleration with multipart uploads provides fast, globally distributed uploads directly to the target bucket, minimizing latency and operational complexity by leveraging CloudFront edge locations, so the data aggregates quickly in one S3 bucket.
A) Correct. S3 Transfer Acceleration uses optimized network paths for cross‑continent uploads; multipart uploads improve throughput and are suitable for large daily volumes, aligning with “minimize operational complexity.”
B) Cross-Region Replication adds latency and requires managing source and destination buckets; not ideal for single‑bucket aggregation and increases administration.
C) Snowball Edge is manual, coarse‑grained, and batch-oriented, unsuitable for continuous global aggregation with low operational overhead.
D) EC2/EBS transfer requires snapshotting across Regions, involving significant orchestration and downtime, not optimal for rapid, centralized S3 ingestion.



A company needs the ability to analyze the log files of its proprietary application. The logs are stored in JSON format in an Amazon S3 bucket. Queries will be simple and will run on-demand. A solutions architect needs to perform the analysis with minimal changes to the existing architecture.
What should the solutions architect do to meet these requirements with the LEAST amount of operational overhead?

  1. Use Amazon Redshift to load all the content into one place and run the SQL queries as needed.
  2. Use Amazon CloudWatch Logs to store the logs. Run SQL queries as needed from the Amazon CloudWatch console.
  3. Use Amazon Athena directly with Amazon S3 to run the queries as needed.
  4. Use AWS Glue to catalog the logs. Use a transient Apache Spark cluster on Amazon EMR to run the SQL queries as needed.

Answer(s): C

Explanation:

Athena directly queries JSON logs in S3 with on-demand SQL without ETL or managing infrastructure, minimizing operational overhead.
A) Redshift requires loading data, provisioning clusters, and ongoing maintenance, adding overhead.
B) CloudWatch Logs is not a native JSON S3 query service and does not provide on-demand direct S3 SQL querying for existing S3 logs.
D) Glue catalog plus EMR adds orchestration and cluster management; more overhead than serverless Athena for ad-hoc analysis.



A company uses AWS Organizations to manage multiple AWS accounts for different departments. The management account has an Amazon S3 bucket that contains project reports. The company wants to limit access to this S3 bucket to only users of accounts within the organization in AWS Organizations.
Which solution meets these requirements with the LEAST amount of operational overhead?

  1. Add the aws PrincipalOrgID global condition key with a reference to the organization ID to the S3 bucket policy.
  2. Create an organizational unit (OU) for each department. Add the aws:PrincipalOrgPaths global condition key to the S3 bucket policy.
  3. Use AWS CloudTrail to monitor the CreateAccount, InviteAccountToOrganization, LeaveOrganization, and RemoveAccountFromOrganization events. Update the S3 bucket policy accordingly.
  4. Tag each user that needs access to the S3 bucket. Add the aws:PrincipalTag global condition key to the S3 bucket policy.

Answer(s): A

Explanation:

The correct answer is A because the aws:PrincipalOrgID global condition key allows S3 access policies to grant permissions only to principals that belong to the AWS Organizations management account’s organization, requiring minimal ongoing management.
B is incorrect because aws:PrincipalOrgPaths would require maintaining OUs and manual path logic per policy, adding overhead and complexity.
C is incorrect because CloudTrail monitoring does not enforce access, it only records events; it cannot restrict S3 access in real time.
D is incorrect because aws:PrincipalTag would require tagging each user and maintaining tag-based permissions, which adds operational overhead and manual tagging effort.



An application runs on an Amazon EC2 instance in a VPC. The application processes logs that are stored in an Amazon S3 bucket. The EC2 instance needs to access the S3 bucket without connectivity to the internet.
Which solution will provide private network connectivity to Amazon S3?

  1. Create a gateway VPC endpoint to the S3 bucket.
  2. Stream the logs to Amazon CloudWatch Logs. Export the logs to the S3 bucket.
  3. Create an instance profile on Amazon EC2 to allow S3 access.
  4. Create an Amazon API Gateway API with a private link to access the S3 endpoint.

Answer(s): A

Explanation:

A) Establishing a gateway VPC endpoint for S3 provides private, regionally scoped connectivity from the VPC to S3 without requiring internet access or NAT. It keeps traffic within the AWS network.
B) CloudWatch Logs streaming and exporting to S3 does not provide private VPC-only access from EC2 to S3; it relies on internet or gateway/endpoint for transfer, not a direct VPC path.
C) An instance profile (IAM role) permits permissions but does not enable private networking to S3; data still traverses the public AWS network unless a VPC endpoint is used.
D) API Gateway with private link to S3 is not a standard, direct method for EC2-to-S3 access; it adds an extra service boundary and is not the typical private connectivity mechanism.



A company is hosting a web application on AWS using a single Amazon EC2 instance that stores user-uploaded documents in an Amazon EBS volume. For better scalability and availability, the company duplicated the architecture and created a second EC2 instance and EBS volume in another Availability Zone, placing both behind an Application Load Balancer. After completing this change, users reported that, each time they refreshed the website, they could see one subset of their documents or the other, but never all of the documents at the same time.
What should a solutions architect propose to ensure users see all of their documents at once?

  1. Copy the data so both EBS volumes contain all the documents
  2. Configure the Application Load Balancer to direct a user to the server with the documents
  3. Copy the data from both EBS volumes to Amazon EFS. Modify the application to save new documents to Amazon EFS
  4. Configure the Application Load Balancer to send the request to both servers. Return each document from the correct server

Answer(s): C

Explanation:

The correct answer is C. EFS provides a shared, scalable file system accessible from multiple EC2 instances, enabling both servers to access the full set of documents consistently.
A is wrong because EBS volumes are instance-attached and not shared across AZs or instances; duplicating data defeats scalability and increases maintenance. B is wrong because ALB routing to a single server per request still limits visibility to that node’s data; it cannot synchronize across instances. D is wrong because ALB cannot aggregate and merge documents from two back-end servers in a single request; it would require application logic and data consistency handling. C satisfies data durability, consistency, and shared access across instances.



A company uses NFS to store large video files in on-premises network attached storage. Each video file ranges in size from 1 MB to 500 GB. The total storage is 70 TB and is no longer growing. The company decides to migrate the video files to Amazon S3. The company must migrate the video files as soon as possible while using the least possible network bandwidth.
Which solution will meet these requirements?

  1. Create an S3 bucket. Create an IAM role that has permissions to write to the S3 bucket. Use the AWS CLI to copy all files locally to the S3 bucket.
  2. Create an AWS Snowball Edge job. Receive a Snowball Edge device on premises. Use the Snowball Edge client to transfer data to the device. Return the device so that AWS can import the data into Amazon S3.
  3. Deploy an S3 File Gateway on premises. Create a public service endpoint to connect to the S3 File Gateway. Create an S3 bucket. Create a new NFS file share on the S3 File Gateway. Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.
  4. Set up an AWS Direct Connect connection between the on-premises network and AWS. Deploy an S3 File Gateway on premises. Create a public virtual interface (VIF) to connect to the S3 File Gateway. Create an S3 bucket. Create a new NFS file share on the S3 File Gateway. Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.

Answer(s): B

Explanation:

Using Snowball Edge (B) minimizes network bandwidth and provides the fastest offline transfer for 70 TB of on-prem data, with AWS handling import to S3 after physical shipment. It is cost- and time-efficient for large-scale migration and avoids saturating production networks.
A) Over the network via AWS CLI would consume significant bandwidth and time for 70 TB.
C) S3 File Gateway introduces extra latency and uses network transfer over NFS to S3, not optimized for bulk offline shipment.
D) Requires a Direct Connect link and still uses network transfer; adds unnecessary complexity for a one-time large data transfer.



A company has an application that ingests incoming messages. Dozens of other applications and microservices then quickly consume these messages. The number of messages varies drastically and sometimes increases suddenly to 100,000 each second. The company wants to decouple the solution and increase scalability.
Which solution meets these requirements?

  1. Persist the messages to Amazon Kinesis Data Analytics. Configure the consumer applications to read and process the messages.
  2. Deploy the ingestion application on Amazon EC2 instances in an Auto Scaling group to scale the number of EC2 instances based on CPU metrics.
  3. Write the messages to Amazon Kinesis Data Streams with a single shard. Use an AWS Lambda function to preprocess messages and store them in Amazon DynamoDB. Configure the consumer applications to read from DynamoDB to process the messages.
  4. Publish the messages to an Amazon Simple Notification Service (Amazon SNS) topic with multiple Amazon Simple Queue Service (Amazon SOS) subscriptions. Configure the consumer applications to process the messages from the queues.

Answer(s): D

Explanation:

D) Using SNS with multiple SQS subscriptions decouples producers from consumers, providing fan-out, scalable, event-driven messaging that handles burst traffic and ensures durable, decoupled processing. SNS distributes messages to multiple SQS queues, enabling independent scaling of each consumer, buffering, and retry handling.
A) Kinesis Data Analytics is for real-time analytics on streams, not decoupling or fan-out to multiple independent consumers as required.
B) EC2 Auto Scaling loses the managed, event-driven decoupling and requires handling of scaling logic and backpressure externally.
C) Kinesis Data Streams with a single shard limits throughput; DynamoDB introduces additional complexity and lacks built-in fan-out-to-multiple consumers with decoupled processing.



A company is migrating a distributed application to AWS. The application serves variable workloads. The legacy platform consists of a primary server that coordinates jobs across multiple compute nodes. The company wants to modernize the application with a solution that maximizes resiliency and scalability.
How should a solutions architect design the architecture to meet these requirements?

  1. Configure an Amazon Simple Queue Service (Amazon SQS) queue as a destination for the jobs. Implement the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure EC2 Auto Scaling to use scheduled scaling.
  2. Configure an Amazon Simple Queue Service (Amazon SQS) queue as a destination for the jobs. Implement the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure EC2 Auto Scaling based on the size of the queue.
  3. Implement the primary server and the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure AWS CloudTrail as a destination for the jobs. Configure EC2 Auto Scaling based on the load on the primary server.
  4. Implement the primary server and the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure Amazon EventBridge (Amazon CloudWatch Events) as a destination for the jobs. Configure EC2 Auto Scaling based on the load on the compute nodes.

Answer(s): B

Explanation:

A) Incorrect. SQS with EC2 ASG and scheduled scaling does not dynamically balance workload based on queue depth, reducing resiliency for variable workloads.
B) Correct. SQS decouples jobs from workers; EC2 instances in an ASG scale based on queue length, providing elastic, fault-tolerant processing and automatic recovery.
C) Incorrect. CloudTrail is an audit log service, not a destination for jobs; scaling based on primary server load lacks decoupling and can create bottlenecks.
D) Incorrect. EventBridge/CloudWatch Events is for event routing, not a direct job destination; scaling on compute node load misses the queue-backed elasticity.



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Share your comments for Amazon SAA-C03 exam with other users:

Palash Ghosh 9/11/2023 8:30:00 AM

easy questions
Anonymous


Yolostar Again 10/12/2023 3:02:00 PM

q.189 - answers are incorrect.
Anonymous


Sam 9/7/2023 6:51:00 AM

question 8 - can cloudtrail be used for storing jobs? based on aws - aws cloudtrail is used for governance, compliance and investigating api usage across all of our aws accounts. every action that is taken by a user or script is an api call so this is logged to [aws] cloudtrail. something seems incorrect here.
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test user 9/24/2023 3:15:00 AM

thanks for the questions
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Ayushi Baria 11/7/2023 7:44:00 AM

this is very helpfull for me
Anonymous


Danny Zas 9/15/2023 4:45:00 AM

this is a good experience
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YoloStar Yoloing 10/22/2023 9:58:00 PM

q. 289 - the correct answer should be b not d, since the question asks for the most secure way to provide access to a s3 bucket (a single one), and by principle of the least privilege you should not be giving access to all buckets.
Anonymous


treyf 11/9/2023 5:13:00 AM

i took the aws saa-c03 test and scored 935/1000. it has all the exam dumps and important info.
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Prince 10/31/2023 9:09:00 PM

is it possible to clear the exam if we focus on only these 156 questions instead of 623 questions? kindly help!
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Marc blue 9/15/2023 4:11:00 AM

great job. hope this helps out.
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