Snowflake Exam SnowPro-Core Topic 5 Question 95 Discussion

Actual exam question for Snowflake's SnowPro-Core exam

Question #: 95
Topic #: 5

[All SnowPro-Core Questions]

How can performance be optimized for a query that returns a small amount of data from a very large base table?

AUse clustering keys

BCreate materialized views

CUse the search optimization service

DUse the query acceleration service

Show Suggested Answer

Suggested Answer: C

The search optimization service in Snowflake is designed to improve the performance of selective point lookup queries on large tables, which is ideal for scenarios where a query returns a small amount of data from a very large base table1. Reference: [COF-C02] SnowPro Core Certification Exam Study Guide

by Izetta at Aug 25, 2024, 06:09 PM

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Desmond

2 months ago

D for sure! Who doesn't love a good query acceleration service? Gotta go fast, am I right?

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Brent

18 days ago

Definitely, it's all about optimizing performance.

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Belen

20 days ago

I agree, query acceleration can really speed things up.

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Paola

26 days ago

D for sure! Who doesn't love a good query acceleration service?

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Alysa

2 months ago

I'm going with B. Can't go wrong with good old materialized views. Plus, it's a classic optimization technique.

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Bobbie

1 months ago

True, but materialized views are a tried and true method.

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Joaquin

1 months ago

I think clustering keys could also help optimize the query.

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Howard

2 months ago

I agree, they can really speed up query performance.

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Yong

2 months ago

Materialized views are definitely a solid choice.

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Nydia

2 months ago

Hmm, the 'query acceleration service' sounds intriguing, but I'm not familiar with it. I'll have to look that one up.

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Winfred

2 months ago

Yeah, that's a good idea. Materialized views could also be useful in this case.

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Lilli

2 months ago

I think using clustering keys could help optimize performance for that type of query.

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Trinidad

2 months ago

I think using the query acceleration service might be a more efficient way to optimize performance for small data queries.

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Julene

2 months ago

I believe creating materialized views could also be a good option to optimize performance for such queries.

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Kenny

2 months ago

I agree with Jules, clustering keys can improve query performance by organizing data efficiently.

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Ricarda

2 months ago

I think B is the way to go. Materialized views can really help optimize performance for queries that don't change too often.

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Hannah

3 months ago

A and B seem like reasonable options, but I'm not sure about C and D. Looks like I need to do some more research on those.

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Latrice

2 months ago

Yes, C and D might require more research to understand their benefits.

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Quiana

2 months ago

C) Use the search optimization service

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Georgeanna

2 months ago

D) Use the query acceleration service

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Leslie

2 months ago

I agree, A and B are good options to consider.

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Vivan

2 months ago

B) Create materialized views

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Timmy

2 months ago

A) Use clustering keys

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Jules

3 months ago

I think using clustering keys would help optimize performance.

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