Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Selecting Your Clustering Keys

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Information Technology (IT), Architecture, Social Studies
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University
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key consideration when deciding to cluster a table?
The table should be small in size.
The table should have frequent DML operations.
The table should be large, ideally multiple terabytes.
The table should have low query selectivity.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to understand the ratio of queries to DML operations?
To minimize the need for clustering.
To increase the number of DML operations.
To ensure frequent updates.
To determine the need for clustering based on query frequency.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What should be avoided when selecting clustering keys?
Columns with text values.
Columns with moderate cardinality.
Columns with high or low cardinality.
Columns with date values.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which type of column is considered a good candidate for clustering keys?
Timestamp columns
Text columns
Gender columns
Date columns
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the recommended order for specifying columns in clustering keys?
From high to low cardinality
From low to high cardinality
Alphabetical order
Random order
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a safe approach when experimenting with clustering keys?
Directly alter the original table.
Use random columns for clustering.
Avoid using any clustering keys.
Create a clone of the table to test changes.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens to clustering keys when a table is cloned?
They are removed.
They are duplicated.
They are retained.
They are randomized.
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