SAA-C03 exam practice questions with detailed answers Question 1
Question 1
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?
A. Turn on S3 Transfer Acceleration on the destination S3 bucket. Use multipart uploads to directly upload site data to the destination S3 bucket.
B. 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.
C. 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.
D. 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 53 bucket. Restore the EBS volume in that Region.
Option A: Turn on S3 Transfer Acceleration and use multipart uploads
Explanation:
- S3 Transfer Acceleration speeds up the upload of data by routing it through Amazon CloudFront’s globally distributed edge locations, which improves performance when transferring data across long distances to an S3 bucket.
- Multipart uploads improve the upload of large objects (greater than 5 GB) by splitting them into smaller parts and uploading them in parallel.
- This solution reduces latency and operational complexity because data is directly uploaded from the sites to the destination S3 bucket.
- Suitability: This option is the best choice because it aggregates data quickly into a single S3 bucket with minimal operational complexity.
Option B: Upload data to the closest Region and use S3 Cross-Region Replication
Explanation:
- In this setup, data is first uploaded to a nearby S3 bucket, then replicated to the destination bucket using S3 Cross-Region Replication (CRR).
- CRR ensures data consistency and availability but introduces an additional step and delay due to replication.
- While this approach is feasible, the added operational complexity of setting up and managing multiple regional buckets makes it less efficient than Option A.
- Suitability: This option is not ideal because the added replication step increases latency and complexity.
Option C: Use AWS Snowball Edge for data transfer and S3 Cross-Region Replication
Explanation:
- AWS Snowball Edge devices are physical appliances used to transfer large amounts of data to AWS without relying on the internet. After shipping the devices, the data is ingested into the AWS cloud.
- While effective for regions with limited or unreliable internet connectivity, this solution is unnecessarily complex and slow for sites with high-speed internet connections.
- Suitability: This option is unsuitable because the scenario specifies high-speed internet availability, which makes Snowball devices unnecessary.
Option D: Use EC2 instances and EBS snapshots for data transfer
Explanation:
- This approach involves uploading data to EC2 instances and storing it in EBS volumes. EBS snapshots are then created and transferred to the region of the destination S3 bucket.
- This is a highly complex and inefficient solution for this use case. It requires managing EC2 instances, EBS volumes, and snapshots across multiple regions.
- Suitability: This option is highly operationally intensive and not aligned with the requirement to minimize complexity.
Recommended Solution
- Correct Answer: A. Turn on S3 Transfer Acceleration on the destination S3 bucket. Use multipart uploads to upload site data to the destination S3 bucket directly.
- This option meets the requirements by providing a fast, efficient, and operationally simple solution for aggregating data into a single S3 bucket.