Snowflake - Build and Architect Data Pipelines Using AWS - Search Optimization Feature

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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the two main types of queries in data warehousing?
Batch and real-time
Analytical and transactional
Analytical and point lookup
Transactional and point lookup
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a characteristic of point lookup queries?
They aggregate data for reports
They select all columns and expect few rows
They use clustering keys for optimization
They are used for data science purposes
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What feature can be used to optimize point lookup queries?
Clustering
Data partitioning
Indexing
Search optimization
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in setting up search optimization in Snowflake?
Estimate the cost
Run a point lookup query
Enable clustering
Create a new database
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you estimate the cost of enabling search optimization?
By analyzing the data size
By reviewing the storage usage
By checking the query execution time
By using the estimate_Search_optimization_cost function
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a direct impact of enabling search optimization?
Improved query performance
Reduced storage costs
Decreased compute resources
Increased query execution time
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which type of tables benefit most from search optimization?
Tables with minimal queries
Tables with high clustering
Tables frequently queried on non-clustering columns
Tables with small datasets
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