Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 1 discussion

Keyword: From GLOBAL sites as quickly as possible in a SINGLE S3 bucket. Minimize operational complexity A. is correct because S3 Transfer Acceleration is support for high speed transfer in Edge location and you can upload it immediately. Also with multipart uploads your big file can be uploaded in parallel. B, C, D. is not minimize operational and fast when compare to answer A

General line: Collect huge amount of the files across multiple continents Conditions: High speed Internet connectivity Task: aggregate the data from all in a single S3 bucket Requirements: as quick as possible, minimize operational complexity Correct answer A: S3 Transfer Acceleration because: - ideally works with objects for long-distance transfer (uses Edge Locations) - can speed up content transfers to and from S3 as much as 50-500% - use cases: mobile & web application uploads and downloads, distributed office transfers, data exchange with trusted partners. Generally for sharing of large data sets between companies, customers can set up special access to their S3 buckets with accelerated uploads to speed data exchanges and the pace of innovation. B - about disaster recovery C - about transferring data between your local environment and the AWS Cloud D - about disaster recovery

Of course, A is the answer, You only need to activate the "Transfer Acceleration" function, which is very simple to operate and also fits the concept of a single bucket. However, these questions are too old and won't appear in the exam.kk2018tk111110#gmail I recently took the exam, I know there are quite a few new questions.

Correct Answer: A: S3 Transfer Acceleration with multipart uploads is the most efficient solution due to high-speed transfer, minimal operational complexity and large data transfer. Wrong Options: B. Increases operational complexity with additional steps (cross-region replication and data deletion). Not necessary since high-speed connections are available at each site. C. Unnecessary use of physical Snowball devices for data transfer when high-speed internet connections are available on-site. D. More complex solution with unnecessary steps (EC2 instances, EBS volumes, snapshots). Direct S3 upload with Transfer Acceleration is simpler and faster.

Company has high speed internet and requires less operational complexity, hence option A

Explanation: Option B suggests uploading the data from each site to an S3 bucket in the closest Region. This ensures that the data is transferred quickly over high-speed Internet connections. By using S3 Cross-Region Replication, the objects can be automatically copied to the destination S3 bucket, allowing for easy aggregation. Once the data is successfully replicated, it can be removed from the origin S3 bucket to minimize storage costs and reduce complexity. Option A is not the best choice because it only focuses on optimizing the upload to the destination S3 bucket by using S3 Transfer Acceleration and multipart uploads. However, it doesn't address the requirement of aggregating data from multiple sites.

A specifically mentions "multipart upload", but the stem says nothing about large files. We have "sites" that collect a lot of sensor data. Wouldn't C be an option? Snowball Edge is tied to a region, so it can't upload directly to the central bucket. Copying the files onto Snowball Edge, then let Snowball Edge upload them to a bucket in its own region from where they would be replicated to the central bucket. This would meet the requirement of minimizing operational overhead. (Options B and D are clearly out as they require manual intervention.)

B: Cross region replication attracts extra costs to transfer data across regions. No need to choose this option as each site is having high speed connection. C. No need to go for device transfers as each site is having high speed connection. D. Not a good solution to use EBS volumes as we can transfer the data directly to S3. A is the best answer, especially going with multi-part upload, transferring the data to the destination bucket using transfer accelerator.

A. Despite this option can be valid, it implies a bit of operational overhead compared with other options. Additionally, there is no need to aggregate that change to the existing architecture because we are already working in S3, and using other storage services incurs unnecessary costs. B. To collect the logs, we use CloudTrail over CloudWatch. Running SQL queries from the Amazon CloudWatch console is not recommended for this use case, since it is more used for filtering. C. Athena integrates seamlessly with S3 and allows you to run simple SQL queries in no time. When working with Apache Spark or with SQL in S3, using this service is the best option. D. This option incurs elevated operational overhead. Glue is not used to catalog the logs. Analyzing logs with Spark on an EMR cluster is very common, but you can do it faster with the Athena service integrated with S3 directly.

A. S3 transfer Accel is best option i think

The key is minimising operational complexity --> Ans A: doesn't need intermediate storage, additional infrastructure, minimises operations with direct path to S3 bucket.

A is the answer.

A is correct answer.

A for sure

doesn't need intermediate storage or additional infrastructure thus, minimizing operational complexity providing faster direct path to destination S3 bucket.

A is most right

other was operational overhead except A