Discuss Snowflake ARA-R01 Exam Topic 1 Question 38

A company is using Snowflake in Azure in the Netherlands. The company analyst team also has data in JSON format that is stored in an Amazon S3 bucket in the AWS Singapore region that the team wants to analyze.

The Architect has been given the following requirements:

1. Provide access to frequently changing data

2. Keep egress costs to a minimum

3. Maintain low latency

How can these requirements be met with the LEAST amount of operational overhead?

AUse a materialized view on top of an external table against the S3 bucket in AWS Singapore.

BUse an external table against the S3 bucket in AWS Singapore and copy the data into transient tables.

CCopy the data between providers from S3 to Azure Blob storage to collocate, then use Snowpipe for data ingestion.

DUse AWS Transfer Family to replicate data between the S3 bucket in AWS Singapore and an Azure Netherlands Blob storage, then use an external table against the Blob storage.

Suggested Answer: B

:Option A is the best design to meet the requirements because it uses a materialized view on top of an external table against the S3 bucket in AWS Singapore.A materialized view is a database object that contains the results of a query and can be refreshed periodically to reflect changes in the underlying data1.An external table is a table that references data files stored in a cloud storage service, such as Amazon S32. By using a materialized view on top of an external table, the company can provide access to frequently changing data, keep egress costs to a minimum, and maintain low latency. This is because the materialized view will cache the query results in Snowflake, reducing the need to access the external data files and incur network charges. The materialized view will also improve the query performance by avoiding scanning the external data files every time.The materialized view can be refreshed on a schedule or on demand to capture the changes in the external data files1.

Option B is not the best design because it uses an external table against the S3 bucket in AWS Singapore and copies the data into transient tables.A transient table is a table that is not subject to the Time Travel and Fail-safe features of Snowflake, and is automatically purged after a period of time3. By using an external table and copying the data into transient tables, the company will incur more egress costs and operational overhead than using a materialized view. This is because the external table will access the external data files every time a query is executed, and the copy operation will also transfer data from S3 to Snowflake. The transient tables will also consume more storage space in Snowflake and require manual maintenance to ensure they are up to date.

Option C is not the best design because it copies the data between providers from S3 to Azure Blob storage to collocate, then uses Snowpipe for data ingestion.Snowpipe is a service that automates the loading of data from external sources into Snowflake tables4. By copying the data between providers, the company will incur high egress costs and latency, as well as operational complexity and maintenance of the infrastructure. Snowpipe will also add another layer of processing and storage in Snowflake, which may not be necessary if the external data files are already in a queryable format.

Option D is not the best design because it uses AWS Transfer Family to replicate data between the S3 bucket in AWS Singapore and an Azure Netherlands Blob storage, then uses an external table against the Blob storage.AWS Transfer Family is a service that enables secure and seamless transfer of files over SFTP, FTPS, and FTP to and from Amazon S3 or Amazon EFS5. By using AWS Transfer Family, the company will incur high egress costs and latency, as well as operational complexity and maintenance of the infrastructure. The external table will also access the external data files every time a query is executed, which may affect the query performance.

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28 comments · newest first

Ettie 6 months ago

True, but it adds complexity. Less overhead is key here.

Blossom 7 months ago

Option D is interesting. Replication could simplify access.

Maryann 7 months ago

I prefer option C. Collocating data reduces latency.

Lindsey 7 months ago

Option B seems safer. External tables are easier to manage.

Delisa 8 months ago

Wait, can you really use AWS Transfer Family like that? Sounds sketchy!

Tayna 8 months ago

D? Really? That seems overly complicated for low latency.

Robt 8 months ago

C seems like too much hassle with data transfer.

Gilberto 8 months ago

I think B is better for keeping egress costs low.

Elmira 8 months ago

Option A sounds efficient for frequently changing data.

Ernie 8 months ago

Option D looks interesting, but I'm not sure about the latency with the data replication.

Britt 9 months ago

Haha, I bet the architect is wishing they had a crystal ball to see all the options!

Ashleigh 9 months ago

Hmm, I'm not sure about that. Copying the data between providers might add some unnecessary overhead.

Sherly 9 months ago

Option B seems like the most straightforward approach to meet the requirements.

Agustin 9 months ago

I think option B could work, but I'm not entirely sure if copying data into transient tables would really help with latency.

Glenn 9 months ago

I think I'm leaning towards option D. Replicating the data between S3 and Azure Blob storage and then using an external table could be a good way to meet the requirements while minimizing overhead.

Gianna 10 months ago

Okay, let's see. Frequent data changes, low egress costs, and low latency - that sounds like option C might be the way to go. Copying to Azure Blob and using Snowpipe could work well.

Juan 10 months ago

I remember we discussed the importance of minimizing egress costs, so option A might not be the best choice since materialized views can incur additional costs.

Lashawn 10 months ago

But won't that increase egress costs?

Ettie 10 months ago

I think option A is the best. Materialized views are efficient.

Shonda 10 months ago

I feel like option C is a bit complicated with the data transfer between providers, but it might be the best for low latency.

Janine 11 months ago

I recall a practice question where we used AWS Transfer Family, so option D sounds familiar, but I'm not sure if it really meets the low latency requirement.

Lakeesha 11 months ago

Hmm, I'm a bit confused by the different cloud providers involved. I'll need to make sure I understand how to work with data across AWS and Azure.

Willodean 11 months ago

This looks like a tricky one! I'll need to carefully consider the requirements and the options to figure out the best approach.

Mohammad 6 months ago

↳ replying to Willodean

I’m leaning towards option B for a balance of simplicity and access.

Domitila 6 months ago

↳ replying to Willodean

True, but it sounds like more overhead.

Kenneth 6 months ago

↳ replying to Willodean

But what about egress costs? Option D could help with that.

Chantell 6 months ago

↳ replying to Willodean

I think option A might be the best for low latency.

Della 6 months ago

↳ replying to Willodean

This is definitely a challenging scenario!

Snowflake ARA-R01 Exam - Topic 1 Question 38 Discussion