Snowflake SnowPro Advanced Data Engineer - SnowPro Advanced Data Engineer Exam
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Total 65 questions
Question #1 (Topic: Exam A)
A Data Engineer is investigating a query that is taking a long time to return. The Query Profile shows the following:
What step should the Engineer take to increase the query performance?
What step should the Engineer take to increase the query performance?
A. Add additional virtual warehouses.
B. Increase the size of the virtual warehouse.
C. Rewrite the query using Common Table Expressions (CTEs).
D. Change the order of the joins and start with smaller tables first.
Answer: B
Question #2 (Topic: Exam A)
How can the following relational data be transformed into semi-structured data using the LEAST amount of operational overhead?
A. Use the TO_JSON function.
B. Use the PARSE_JSON function to produce a VARIANT value.
C. Use the OBJECT_CONSTRUCT function to return a Snowflake object.
D. Use the TO_VARIANT function to convert each of the relational columns to VARIANT.
Answer: C
Question #3 (Topic: Exam A)
A Data Engineer executes a complex query and wants to make use of Snowflake’s query results caching capabilities to reuse the results.
Which conditions must be met? (Choose three.)
Which conditions must be met? (Choose three.)
A. The results must be reused within 72 hours.
B. The query must be executed using the same virtual warehouse.
C. The USED_CACHED_RESULT parameter must be included in the query.
D. The table structure contributing to the query result cannot have changed.
E. The new query must have the same syntax as the previously executed query.
F. The micro-partitions cannot have changed due to changes to other data in the table.
Answer: EDF
Question #4 (Topic: Exam A)
A Data Engineer needs to load JSON output from some software into Snowflake using Snowpipe.
Which recommendations apply to this scenario? (Choose three.)
Which recommendations apply to this scenario? (Choose three.)
A. Load large files (1 GB or larger).
B. Ensure that data files are 100-250 MB (or larger) in size, compressed.
C. Load a single huge array containing multiple records into a single table row.
D. Verify each value of each unique element stores a single native data type (string or number).
E. Extract semi-structured data elements containing null values into relational columns before loading.
F. Create data files that are less than 100 MB and stage them in cloud storage at a sequence greater than once each minute.
Answer: BDE
Question #5 (Topic: Exam A)
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?
A. select system$clustering_information('Sales', 'sales_representative', 'region = ''North America''');
B. select system$clustering_depth('Sales', 'sales_representative', 'region = ''North America''');
C. select system$clustering_depth('Sales', 'sales_representative') where region = 'North America';
D. select system$clustering_information('Sales', 'sales_representative') where region = 'North America’;
Answer: B
