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Snowflake ARA-C01 Exam - Topic 6 Question 40 Discussion

Actual exam question for Snowflake's ARA-C01 exam
Question #: 40
Topic #: 6
[All ARA-C01 Questions]

How do Snowflake databases that are created from shares differ from standard databases that are not created from shares? (Choose three.)

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Suggested Answer: A

The correct answer is A because it improves the performance of queries by reducing the amount of data scanned and processed. By adding a create_date field with a timestamp data type, Snowflake can automatically cluster the table based on this field and prune the micro-partitions that do not match the filter condition. This avoids the need to parse the JSON data and access the variant field for every record.

Option B is incorrect because it does not improve the performance of queries. By adding a create_date field with a varchar data type, Snowflake cannot automatically cluster the table based on this field and prune the micro-partitions that do not match the filter condition. This still requires parsing the JSON data and accessing the variant field for every record.

Option C is incorrect because it does not address the root cause of the performance issue. By validating the size of the warehouse being used, Snowflake can adjust the compute resources to match the data volume and parallelize the query execution. However, this does not reduce the amount of data scanned and processed, which is the main bottleneck for queries on JSON data.

Option D is incorrect because it adds unnecessary complexity and overhead to the data loading and querying process. By incorporating the use of multiple tables partitioned by date ranges, Snowflake can reduce the amount of data scanned and processed for queries that specify a date range. However, this requires creating and maintaining multiple tables, loading data into the appropriate table based on the date, and joining the tables for queries that span multiple date ranges.Reference:

Snowflake Documentation: Loading Data Using Snowpipe: This document explains how to use Snowpipe to continuously load data from external sources into Snowflake tables. It also describes the syntax and usage of the COPY INTO command, which supports various options and parameters to control the loading behavior, such as ON_ERROR, PURGE, and SKIP_FILE.

Snowflake Documentation: Date and Time Data Types and Functions: This document explains the different data types and functions for working with date and time values in Snowflake. It also describes how to set and change the session timezone and the system timezone.

Snowflake Documentation: Querying Metadata: This document explains how to query the metadata of the objects and operations in Snowflake using various functions, views, and tables. It also describes how to access the copy history information using the COPY_HISTORY function or the COPY_HISTORY view.

Snowflake Documentation: Loading JSON Data: This document explains how to load JSON data into Snowflake tables using various methods, such as the COPY INTO command, the INSERT command, or the PUT command. It also describes how to access and query JSON data using the dot notation, the FLATTEN function, or the LATERAL join.

Snowflake Documentation: Optimizing Storage for Performance: This document explains how to optimize the storage of data in Snowflake tables to improve the performance of queries. It also describes the concepts and benefits of automatic clustering, search optimization service, and materialized views.


Contribute your Thoughts:

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Fannie
3 months ago
So, they have PUBLIC schemas by default? That’s kinda wild!
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Celeste
3 months ago
I heard shared databases need a refresh for new data.
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Winfred
3 months ago
Wait, are you sure they can’t be cloned? Sounds off.
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Nickolas
4 months ago
Totally agree, that’s a big difference!
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Malcom
4 months ago
Shared databases are read-only, right?
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Gaynell
4 months ago
I feel like shared databases automatically include the PUBLIC schema, but I can't remember if that's true for all cases or just specific ones.
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Kerrie
4 months ago
I practiced a question similar to this, and I think shared databases might not support Time Travel, but I need to double-check that.
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Keneth
4 months ago
I remember something about needing to refresh shared databases for new data to show up, but I can't recall if that's a requirement for all of them.
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Lai
5 months ago
I think shared databases are read-only, but I'm not entirely sure if that's the only difference.
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Mireya
5 months ago
This is a good question to test our understanding of Snowflake sharing features. I'm confident I can identify the three key differences between shared and standard databases.
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Paz
5 months ago
Okay, I think I've got a handle on this. Shared databases are read-only, need to be refreshed for new data, and can't be cloned. I'll make sure to select those three differences in my answer.
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Merlyn
5 months ago
Hmm, I'm a bit confused about the differences between shared and standard databases. I'll need to review my notes on Snowflake sharing to make sure I understand the key points.
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Fabiola
5 months ago
This looks like a tricky question about the differences between standard Snowflake databases and those created from shares. I'll need to carefully read through the options and think about the key characteristics of shared databases.
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Carma
10 months ago
I'm totally lost on this one. Is there an option for 'none of the above'? Or maybe 'all of the above'? Snowflake really knows how to keep us on our toes!
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Mary
8 months ago
E) Shared databases will have the PUBLIC or INFORMATION_SCHEMA schemas without explicitly granting these schemas to the share.
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Tomoko
9 months ago
B) Shared databases must be refreshed in order for new data to be visible.
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Miesha
9 months ago
A) Shared databases are read-only.
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Lavonda
10 months ago
Haha, the 'snowflake' in Snowflake databases is really accurate - these things are as delicate and complex as the real thing! I'm going to guess B, E, and F just to hedge my bets.
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Kenneth
9 months ago
F) Shared databases can also be created as transient databases.
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Fallon
9 months ago
E) Shared databases will have the PUBLIC or INFORMATION_SCHEMA schemas without explicitly granting these schemas to the share.
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Ligia
10 months ago
A) Shared databases are read-only.
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Artie
10 months ago
This question is making my head spin! I'll just go with my gut and choose A, C, and E. Shared databases are read-only, can't be cloned, and have those special schemas. *sigh* Snowflake has so many nuances to remember.
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Colette
9 months ago
Oh really? I didn't know that. Snowflake databases can be quite tricky to understand.
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Ernie
9 months ago
But remember, shared databases can actually be cloned.
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Merilyn
9 months ago
Yes, and they also have the PUBLIC or INFORMATION_SCHEMA schemas without explicitly granting them.
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Jesusa
10 months ago
I think you got it right! Shared databases are indeed read-only.
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Rossana
11 months ago
I'm not sure about D - I thought Snowflake Time Travel works the same way for shared databases. And F seems a bit odd, can shared databases really be transient too?
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Pamella
10 months ago
E) Shared databases will have the PUBLIC or INFORMATION_SCHEMA schemas without explicitly granting these schemas to the share.
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Lynna
10 months ago
A) Shared databases are read-only.
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Jose
11 months ago
I believe shared databases cannot be cloned as well.
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Refugia
11 months ago
I think the correct answers are B, C, and E. Shared databases need to be refreshed to see new data, can't be cloned, and have the PUBLIC and INFORMATION_SCHEMA schemas by default.
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Earlean
9 months ago
So, the main differences are in terms of refresh, cloning, and default schemas.
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Nieves
9 months ago
Shared databases are read-only, not supported by Time Travel, and can be created as transient databases.
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Wilda
10 months ago
That's correct! Shared databases must be refreshed for new data, can't be cloned, and have default schemas.
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Jordan
10 months ago
I think the correct answers are B, C, and E.
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Nicolette
11 months ago
Yes, that's correct. Shared databases must be refreshed for new data.
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Alba
11 months ago
I think shared databases are read-only.
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