support@Free-Braindumps.com
Register Login
Cisco
CompTIA
ISC
EC-Council
EXIN
Fortinet
ITIL
Juniper
Microsoft
VMware
Avaya
SAP
Google
NVIDIA
Salesforce
Amazon
Palo Alto Networks
ISC2
CrowdStrike
Anthropic
All Vendors
  1. Home
  2. Exams
  3. Snowflake
  4. SnowPro Advanced Data Engineer

Free SnowPro Advanced Data Engineer Exam Braindumps
SnowPro Advanced Data Engineer Questions 41–45 (page: 10)

Updated On: 10-Feb-2026
Page 10 of 24
PDF with 162 Questions

Which output is provided by both the SYSTEM$CLUSTERING_DEPTH function and the SYSTEM$CLUSTERING_INFORMATION function?

  1. average_depth
  2. notes
  3. average_overlaps
  4. total_partition_count

Answer(s): A



A Data Engineer is evaluating the performance of a query in a development environment.





Based on the Query Profile, what performance tuning options should the Engineer use? (Choose two.)

  1. Add a LIMIT to the ORDER BY if possible.
  2. Use a multi-cluster virtual warehouse with the scaling policy set to STANDARD.
  3. Move the query to a larger virtual warehouse.
  4. Create indexes to ensure sorted access to data.
  5. Increase the MAX_CLUSTER_COUNT.

Answer(s): A,C



The following chart represents the performance of a virtual warehouse over time:



A Data Engineer notices that the warehouse is queueing queries. The warehouse is size X-Small, the minimum and maximum cluster counts are set to 1, the scaling policy is set to standard, and auto-suspend is set to 10 minutes.

How can the performance be improved?

  1. Change the cluster settings.
  2. Increase the size of the warehouse.
  3. Change the scaling policy to economy.
  4. Change auto-suspend to a longer time frame.

Answer(s): A



Which functions will compute a 'fingerprint' over an entire table, query result, or window to quickly detect changes to table contents or query results? (Choose two.)

  1. HASH(*)
  2. HASH_AGG(*)
  3. HASH_AGG(<expr>, <expr>)
  4. HASH_AGG_COMPARE(*)
  5. HASH_COMPARE(*)

Answer(s): B,D



Which use case would be BEST suited for the search optimization service?

  1. Analysts who need to perform aggregates over high-cardinality columns.
  2. Business users who need fast response times using highly selective filters.
  3. Data Scientists who seek specific JOIN statements with large volumes of data.
  4. Data Engineers who create clustered tables with frequent reads against clustering keys.

Answer(s): B



  PDF
Viewing page 10 of 24
Viewing questions 46 - 50 out of 162 questions


Post your Comments and Discuss Snowflake SnowPro Advanced Data Engineer exam prep with other Community members:

AI Tutor AI Tutor 👋 I’m here to help!