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Exam SnowPro Core topic 1 question 1097 discussion

Actual exam question from Snowflake's SnowPro Core
Question #: 1097
Topic #: 1
[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?

  • A. Use clustering keys
  • B. Create materialized views
  • C. Use the search optimization service
  • D. Use the query acceleration service
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Suggested Answer: C 🗳️

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Jacobr5000
1 month ago
Selected Answer: C
"The search optimization service aims to significantly improve the performance of certain types of queries on tables, including: Selective point lookup queries on tables. A point lookup query returns only one or a small number of distinct rows. Use case examples include: Business users who need fast response times for critical dashboards with highly selective filters. Data scientists who are exploring large data volumes and looking for specific subsets of data. Data applications retrieving a small set of results based on an extensive set of filtering predicates."
upvoted 2 times
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Lematthew31
1 month, 2 weeks ago
Selected Answer: C
It's C : https://docs.snowflake.com/en/user-guide/search-optimization-service
upvoted 1 times
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NachoPrendes
2 months, 3 weeks ago
Selected Answer: C
C https://docs.snowflake.com/en/user-guide/search-optimization-service#:~:text=Selective%20point%20lookup%20queries%20on%20tables.%20A%20point%20lookup%20query%20returns%20only%20one%20or%20a%20small%20number%20of%20distinct%20rows
upvoted 3 times
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