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Snowflake ADA-C01 Exam Questions - Navigate Your Path to Success

The Snowflake SnowPro Advanced: Administrator Certification (ADA-C01) exam is a good choice and if the candidate manages to pass Snowflake SnowPro Advanced: Administrator Certification exam, he/she will earn Snowflake SnowPro Certification, Snowflake SnowPro Advanced Certifications. Below are some essential facts for Snowflake ADA-C01 exam candidates:

  • In actual Snowflake SnowPro Advanced: Administrator Certification (ADA-C01) exam, a candidate can expect 65 Questions and the officially allowed time is expected to be around 115 Minutes.
  • TrendyCerts offers 72 Questions that are based on actual Snowflake ADA-C01 syllabus.
  • Our Snowflake ADA-C01 Exam Practice Questions were last updated on: Feb 28, 2025

Sample Questions for Snowflake ADA-C01 Exam Preparation

Question 1

What access control policy will be put into place when future grants are assigned to both database and schema objects?

Correct : B

When future grants are defined on the same object type for a database and a schema in the same database, the schema-level grants take precedence over the database level grants, and the database level grants are ignored4. This behavior applies to privileges on future objects granted to one role or different roles4. Future grants allow defining an initial set of privileges to grant on new (i.e. future) objects of a certain type in a database or a schema3. As soon as the new objects are created inside the database or schema, the predefined set of privileges are assigned to the object automatically without any manual intervention3.


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Question 2

An Administrator is evaluating a complex query using the EXPLAIN command. The Globalstats operation indicates 500 partitionsAssigned.

The Administrator then runs the query to completion and opens the Query Profile. They notice that the partitions scanned value is 429.

Why might the actual partitions scanned be lower than the estimate from the EXPLAIN output?

Correct : C

The EXPLAIN command returns the logical execution plan for a query, which shows the upper bound estimates for the number of partitions and bytes that might be scanned by the query1. However, these estimates do not account for the runtime optimizations that Snowflake performs to improve the query performance and reduce the resource consumption2. One of these optimizations is join pruning, which eliminates unnecessary partitions from the join inputs based on the join predicates2. This can result in fewer partitions and bytes scanned than the estimates from the EXPLAIN output3. Therefore, the actual partitions scanned value in the Query Profile can be lower than the partitionsAssigned value in the EXPLAIN output4.


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Snowflake ADA-C01