A company collects temperature, humidity, and atmospheric pressure data in cities across multiple continents. The average volume of data collected per site each day is 500 GB. Each site has a high-speed internet connection. The company's weather forecasting applications are based in a single Region and analyze the data daily.
What is the FASTEST way to aggregate data from all of these global sites?
To aggregate data from global sites in the fastest way, enabling Amazon S3 Transfer Acceleration on the destination bucket is the most efficient method. This service leverages Amazon CloudFront's globally distributed AWS Edge Locations to accelerate object uploads to S3 over long distances. It optimizes data transfer by reducing the time required for data to traverse the internet before reaching the nearest AWS edge location, which then uses the high-speed internal AWS network to deliver data to the destination S3 bucket. This method minimizes latency and maximizes the utilization of high-speed internet connections available at each data collection site.
A. Transfer Acceleration fastest.
A is correct You might want to use Transfer Acceleration on a bucket for various reasons, including the following: You have customers that upload to a centralized bucket from all over the world. You transfer gigabytes to terabytes of data on a regular basis across continents. You are unable to utilize all of your available bandwidth over the Internet when uploading to Amazon S3. https://docs.aws.amazon.com/AmazonS3/latest/dev/transfer-acceleration.html
Option B aligns with the requirements for several reasons: Upload Data to Closest Region: Uploading data to an S3 bucket in the closest Region ensures minimal latency and optimal upload speeds from each site due to their high-speed Internet connections. This approach leverages the proximity to reduce upload times. S3 Cross-Region Replication (CRR): After data is uploaded to regional S3 buckets, S3 Cross-Region Replication can asynchronously replicate objects to the destination S3 bucket. This allows for efficient and automatic aggregation of data across global sites into a single bucket. Operational Simplicity: Once configured, S3 CRR handles the replication process automatically. There's no need for manual intervention beyond the initial setup, minimizing operational complexity.
It's B. Each city store on average 500 GB per day of sensor data. That does not mean it has to be transferred in one go. They also collect data on several continents (world wide). Transferring the data first to a closest AWS Region allows you to use AWS cross-region internal network for centralization of the data. This is usually faster than normal internet.
Wrong. Transfer Acceleration (option A) will first get the data into the nearest AWS data center OR nearest Edge Locations. Option B will get the data into the nearest AWS center. Once it reaches the data center or edge location, both methods will use AWS's internal network. So it's clear that option B is slower (because it doesn't use edge location as the first destination). Additionally, it's a bad solution as well - you're inducing additional charges for the unnecessary buckets in each region and additional costs to transfer S3 cross regions
Strong Agree!
wrong. Option B aligns with the requirements for several reasons: Upload Data to Closest Region: Uploading data to an S3 bucket in the closest Region ensures minimal latency and optimal upload speeds from each site due to their high-speed Internet connections. This approach leverages the proximity to reduce upload times. S3 Cross-Region Replication (CRR): After data is uploaded to regional S3 buckets, S3 Cross-Region Replication can asynchronously replicate objects to the destination S3 bucket. This allows for efficient and automatic aggregation of data across global sites into a single bucket. Operational Simplicity: Once configured, S3 CRR handles the replication process automatically. There's no need for manual intervention beyond the initial setup, minimizing operational complexity.
Go and Study again
This didnt really help anybody. If you have studied, tell us why you think his answer is not right.
mofo straight up bully
Option B aligns with the requirements for several reasons: Upload Data to Closest Region: Uploading data to an S3 bucket in the closest Region ensures minimal latency and optimal upload speeds from each site due to their high-speed Internet connections. This approach leverages the proximity to reduce upload times. S3 Cross-Region Replication (CRR): After data is uploaded to regional S3 buckets, S3 Cross-Region Replication can asynchronously replicate objects to the destination S3 bucket. This allows for efficient and automatic aggregation of data across global sites into a single bucket. Operational Simplicity: Once configured, S3 CRR handles the replication process automatically. There's no need for manual intervention beyond the initial setup, minimizing operational complexity.
This is the most coft effective solution? Or is it?
Option B aligns with the requirements for several reasons: Upload Data to Closest Region: Uploading data to an S3 bucket in the closest Region ensures minimal latency and optimal upload speeds from each site due to their high-speed Internet connections. This approach leverages the proximity to reduce upload times. S3 Cross-Region Replication (CRR): After data is uploaded to regional S3 buckets, S3 Cross-Region Replication can asynchronously replicate objects to the destination S3 bucket. This allows for efficient and automatic aggregation of data across global sites into a single bucket. Operational Simplicity: Once configured, S3 CRR handles the replication process automatically. There's no need for manual intervention beyond the initial setup, minimizing operational complexity.
Answer:A Both A And B look correct, however with A you’re send the data directly to its destination once. For B you transfer it first to the nearest bucket THEN do another copy prob as a batch. This causes two delays, the time to copy 2nd time and second you wait for sync schedule.
A. Enable Amazon S3 Transfer Acceleration on the destination bucket. Use multipart uploads to directly upload site data to the destination bucket.
A is correct. Transfer Acceleration (option A) will first get the data into the nearest AWS data center OR nearest Edge Locations. Option B will get the data into the nearest AWS center. Once it reaches the data center or edge location, both methods will use AWS's internal network. So it's clear that option B is slower (because it doesn't use edge location as the first destination). Additionally, it's a bad solution as well - you're inducing additional charges for the unnecessary buckets in each region and additional costs to transfer S3 cross regions
Not B. because no need replication. A for sure
I would pick A https://aws.amazon.com/s3/transfer-acceleration/#:~:text=S3%20Transfer%20Acceleration%20(S3TA)%20reduces,to%20S3%20for%20remote%20applications: "Amazon S3 Transfer Acceleration can speed up content transfers to and from Amazon S3 by as much as 50-500% for long-distance transfer of larger objects. Customers who have either web or mobile applications with widespread users or applications hosted far away from their S3 bucket can experience long and variable upload and download speeds over the Internet" https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html: "Improved throughput - You can upload parts in parallel to improve throughput." Furthermore, it's about SPEED we are looking at
Option B aligns with the requirements for several reasons: Upload Data to Closest Region: Uploading data to an S3 bucket in the closest Region ensures minimal latency and optimal upload speeds from each site due to their high-speed Internet connections. This approach leverages the proximity to reduce upload times. S3 Cross-Region Replication (CRR): After data is uploaded to regional S3 buckets, S3 Cross-Region Replication can asynchronously replicate objects to the destination S3 bucket. This allows for efficient and automatic aggregation of data across global sites into a single bucket. Operational Simplicity: Once configured, S3 CRR handles the replication process automatically. There's no need for manual intervention beyond the initial setup, minimizing operational complexity.
A is correct: Use Transfer Acceleration when you: • Have customers all over the world who upload to a centralized bucket • Transfer gigabytes or terabytes of data across continents on a regular basis • Underutilize the available bandwidth when uploading to Amazon S3 over the internet
S3 CRR replication time is 15 minutes; transfer acceleration will be faster on company internet connection
B has delays
Easiest and pretty straight... Answer A Snowball wont work as it should do daily analysis
A is correct answer
Sorry, A is correct answer.
B is correct.
I would pick A
Adding to comments, C is eliminated because we need SPEEDIEST method, Snowball use case is to transfer large data for migration(into S3 only) but its physical shipping. Note, Snowcone offers online upload facility using AWS Data Sync(upto 8 TB capacity), but I would have chosen that if there was no additional S3 cross region replication mentioned. Its still not the speediest.