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Amazon SAA-C03 Exam Questions
AWS Certified Solutions Architect - Associate SAA-C03 (Page 2 )

Updated On: 15-Mar-2026
Page 2 of 205
PDF with 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.



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