Free SnowPro Advanced Data Engineer Exam Braindumps
SnowPro Advanced Data Engineer Questions 36–40 (page: 9)

Updated On: 10-Feb-2026

Given the table SALES which has a clustering key of column CLOSED_DATE, which table function will return the average clustering depth for the SALES_REPRESENTATIVE column for the North American region?

  1. select system$clustering_information('Sales', 'sales_representative', 'region = ''North America''');
  2. select system$clustering_depth('Sales', 'sales_representative', 'region = ''North America''');
  3. select system$clustering_depth('Sales', 'sales_representative') where region = 'North America';
  4. select system$clustering_information('Sales', 'sales_representative') where region = 'North America';

Answer(s): B



A large table with 200 columns contains two years of historical data.
When queried, the table is filtered on a single day. Below is the Query Profile:



Using a size 2XL virtual warehouse, this query took over an hour to complete.

What will improve the query performance the MOST?

  1. Increase the size of the virtual warehouse.
  2. Increase the number of clusters in the virtual warehouse.
  3. Implement the search optimization service on the table.
  4. Add a date column as a cluster key on the table.

Answer(s): D



The following is returned from SYSTEM$CLUSTERING_INFORMATION() for a table named ORDERS with a DATE column named O_ORDERDATE:



What does the total_constant_partition_count value indicate about this table?

  1. The table is clustered very well on O_ORDERDATE, as there are 493 micro-partitions that could not be significantly improved by re-clustering.
  2. The table is not clustered well on O_ORDERDATE, as there are 493 micro-partitions where the range of values in that column overlap with every other micro-partition in the table.
  3. The data in O_ORDERDATE does not change very often, as there are 493 micro-partitions containing rows where that column has not been modified since the row was created.
  4. The data in O_ORDERDATE has a very low cardinality, as there are 493 micro-partitions where there is only a single distinct value in that column for all rows in the micro-partition.

Answer(s): A



A company is building a dashboard for thousands of Analysts. The dashboard presents the results of a few summary queries on tables that are regularly updated. The query conditions vary by topic according to what data each Analyst needs. Responsiveness of the dashboard queries is a top priority, and the data cache should be preserved.

How should the Data Engineer configure the compute resources to support this dashboard?

  1. Assign queries to a multi-cluster virtual warehouse with economy auto-scaling. Allow the system to automatically start and stop clusters according to demand.
  2. Assign all queries to a multi-cluster virtual warehouse set to maximized mode. Monitor to determine the smallest suitable number of clusters.
  3. Create a virtual warehouse for every 250 Analysts. Monitor to determine how many of these virtual warehouses are being utilized at capacity.
  4. Create a size XL virtual warehouse to support all the dashboard queries. Monitor query runtimes to determine whether the virtual warehouse should be resized.

Answer(s): B



A Data Engineer has developed a dashboard that will issue the same SQL select clause to Snowflake every 12 hours.

How long will Snowflake use the persisted query results from the result cache, provided that the underlying data has not changed?

  1. 12 hours
  2. 24 hours
  3. 14 days
  4. 31 days

Answer(s): B



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