Snowflake ARA-R01 Exam - Topic 3 Question 2 Discussion

Actual exam question for Snowflake's ARA-R01 exam

Question #: 2
Topic #: 3

A retailer's enterprise data organization is exploring the use of Data Vault 2.0 to model its data lake solution. A Snowflake Architect has been asked to provide recommendations for using Data Vault 2.0 on Snowflake.

What should the Architect tell the data organization? (Select TWO).

AChange data capture can be performed using the Data Vault 2.0 HASH_DIFF concept.

BChange data capture can be performed using the Data Vault 2.0 HASH_DELTA concept.

CUsing the multi-table insert feature in Snowflake, multiple Point-in-Time (PIT) tables can be loaded in parallel from a single join query from the data vault.

DUsing the multi-table insert feature, multiple Point-in-Time (PIT) tables can be loaded sequentially from a single join query from the data vault.

EThere are performance challenges when using Snowflake to load multiple Point-in-Time (PIT) tables in parallel from a single join query from the data vault.

Show Suggested Answer

Suggested Answer: A, C

Data Vault 2.0 on Snowflake supports the HASH_DIFF concept for change data capture, which is a method to detect changes in the data by comparing the hash values of the records. Additionally, Snowflake's multi-table insert feature allows for the loading of multiple PIT tables in parallel from a single join query, which can significantly streamline the data loading process and improve performance1.

Reference =

* Snowflake's documentation on multi-table inserts1

* Blog post on optimizing Data Vault architecture on Snowflake2

by Claribel at Apr 23, 2024, 04:36 PM

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Brinda

3 months ago

E seems a bit off, I haven't faced those performance issues.

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Devorah

3 months ago

C sounds right, parallel loading is a game changer!

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Arminda

3 months ago

Wait, I thought PIT tables could only be loaded sequentially?

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Lindsey

4 months ago

I disagree, I think B is the right one for CDC.

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Jame

4 months ago

A is definitely true, HASH_DIFF is key for CDC!

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Daryl

4 months ago

I’m pretty confident that the HASH_DELTA concept is the one used for change data capture, but I might be mixing it up with HASH_DIFF.

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Tamekia

4 months ago

I have a vague memory that using the multi-table insert feature might have performance issues when loading PIT tables in parallel. I hope that’s relevant here.

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Cordelia

4 months ago

I think we practiced a question similar to this where we discussed the multi-table insert feature in Snowflake. I feel like it can load PIT tables in parallel, but I can't recall the exact details.

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Helaine

5 months ago

I remember something about HASH_DIFF and HASH_DELTA, but I'm not entirely sure which one is the correct term for change data capture in Data Vault 2.0.

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Karina

5 months ago

This question covers a lot of ground - Data Vault 2.0, Snowflake capabilities, change data capture, and PIT table loading. I'll need to carefully review each of the answer options and make sure I understand the nuances before selecting my final answers.

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Lizette

5 months ago

I'm a little concerned about the potential performance challenges when loading multiple PIT tables in parallel. I'll need to think through the tradeoffs and consider whether a sequential approach might be better in some cases.

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Tequila

5 months ago

The multi-table insert feature in Snowflake sounds really useful for loading multiple PIT tables in parallel. I'll make sure to remember that as a potential optimization strategy when working with Data Vault 2.0 on Snowflake.

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Billye

5 months ago

Hmm, I'm a bit unsure about the difference between the HASH_DIFF and HASH_DELTA concepts in Data Vault 2.0. I'll need to review those details to make sure I understand which one is used for change data capture.

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Fernanda

5 months ago

This question seems straightforward - it's asking about the capabilities of Data Vault 2.0 and Snowflake for handling change data capture and loading Point-in-Time tables. I think I have a good handle on the key concepts here.

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Linette

5 months ago

Okay, I think I've got a handle on this. I'll create the hosts.j2 template with the necessary Jinja2 logic to iterate over the inventory and generate the host entries. Then, in the gen_hosts.yml playbook, I'll use the template module to create the /etc/myhosts file on the hosts in the "dev" group.

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Kristin

5 months ago

I'm pretty sure it's when the Opened for person is selected, but I'll double-check the options just to be sure.

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Shelba

5 months ago

Okay, let's see. I know selecting the request or request set is definitely one of the elements. The other two... I'm going to have to read through the options carefully.

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Mayra

2 years ago

'E' mentions performance challenges. Seems less likely. I'm going with 'A' and 'C'.

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Malissa

2 years ago

Hmm, 'C' could be right. But what about 'E'? Any thoughts?

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Laila

2 years ago

I think 'C' makes sense. Snowflake supports parallel loading with multi-table inserts.

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Bernadine

2 years ago

Agree on 'A'. Not sure about the other one though.

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Peggie

2 years ago

Yeah, it's tough. I think 'A' is correct. HASH_DIFF is for change data capture, right?

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Mayra

2 years ago

I'm finding question 2 quite challenging. What do you think?

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Deja

2 years ago

The Architect should mention that using the multi-table insert feature in Snowflake, multiple PIT tables can be loaded in parallel from a single join query from the data vault.

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