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A query containing a WHERE clause is running longer than expected. The Query Profile shows that all micro-partitions being scanned How should this query be optimized?
What are characteristics of the ownership privilege when it is granted on a regular Snowflake schema? (Select TWO).
Who can access the data published in a Data Exchange?
What virtual warehouse configuration should be used when processing a large number of complex queries?
While preparing to unload data in Snowflake, the file format option can be specified in which commands? (Select TWO).
Which Query Profile metrics will provide information that can be used to improve query performance? (Select TWO).
How can a data provider validate that a secure view is configured to display only the data the provider wishes to expose?
What can be used to process unstructured data?
Who can create and manage reader accounts? (Select TWO).
Which minimum Snowflake edition allows for a dedicated metadata store?

Question 37 - COF-C02 discussion

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What is a key feature of Snowflake architecture?

A.
Zero-copy cloning creates a mirror copy of a database that updates with the original
Answers
A.
Zero-copy cloning creates a mirror copy of a database that updates with the original
B.
Software updates are automatically applied on a quarterly basis
Answers
B.
Software updates are automatically applied on a quarterly basis
C.
Snowflake eliminates resource contention with its virtual warehouse implementation
Answers
C.
Snowflake eliminates resource contention with its virtual warehouse implementation
D.
Multi-cluster warehouses allow users to run a query that spans across multiple clusters
Answers
D.
Multi-cluster warehouses allow users to run a query that spans across multiple clusters
E.
Snowflake automatically sorts DATE columns during ingest for fast retrieval by date
Answers
E.
Snowflake automatically sorts DATE columns during ingest for fast retrieval by date
Suggested answer: C

Explanation:

One of the key features of Snowflake's architecture is its unique approach to eliminating resource contention through the use of virtual warehouses. This is achieved by separating storage and compute resources, allowing multiple virtual warehouses to operate independently on the same data without affecting each other. This means that different workloads, such as loading data, running queries, or performing complex analytics, can be processed simultaneously without any performance degradation due to resource contention.

References:

Snowflake Documentation on Virtual Warehouses

SnowPro Core Certification Study Guide

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asked 23/09/2024
Francesco Pignalosa
37 questions
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