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Pass Guaranteed Quiz 2026 Snowflake High-quality ADA-C01 Guaranteed SuccessLead2PassExam offers a complete SnowPro Advanced Administrator (ADA-C01) practice questions in PDF format. This Snowflake ADA-C01 test questions pdf file format is simple to use and can be accessed from any device, including a desktop, tablet, laptop, Mac, or smartphone. No matter where you are, you can learn on the go. The PDF version of the SnowPro Advanced Administrator (ADA-C01) exam questions is also readily printable, allowing you to keep tangible copies of the SnowPro Advanced Administrator (ADA-C01) questions with you at all times. Snowflake SnowPro Advanced Administrator Sample Questions (Q65-Q70):NEW QUESTION # 65
Review the output of the SHOW statement below which displays the current grants on the table DB1. S1. T1:
This statement is executed:
USE ROLE ACCOUNTADMIN;
DROP ROLE A;
What will occur?
A. The OWNERSHIP privilege on table DB1. S1. T1 will be transferred to the ACCOUNTADMIN role.
B. The table object DB1. S1. T1 will be dropped.
C. The SELECT privileges for roles B and C will remain.
D. The SELECT privilege on table DB1. S1. T1 to role B will be shown as GRANTED_BY the role ACCOUNTADMIN.
Answer: C
Explanation:
Explanation
Dropping role A does not affect the SELECT privileges granted to roles B and C on the table DB1.S1.T1.
According to the Snowflake documentation, dropping a role revokes all privileges granted to the role, but does not revoke any privileges granted by the role. Therefore, the OWNERSHIP privilege on the table DB1.S1.T1 will be revoked from role A, but the SELECT privileges granted by role A to role B and by role B to role C will remain. The GRANTED_BY column will still show the original grantor of the privilege, not the ACCOUNTADMIN role.
NEW QUESTION # 66
A team of developers created a new schema for a new project. The developers are assigned the role DEV_TEAM which was set up using the following statements:
USE ROLE SECURITYADMIN;
CREATE ROLE DEV TEAM;
GRANT USAGE, CREATE SCHEMA ON DATABASE DEV_DB01 TO ROLE DEV_TEAM;
GRANT USAGE ON WAREHOUSE DEV_WH TO ROLE DEV_TEAM;
Each team member's access is set up using the following statements:
USE ROLE SECURITYADMIN;
CREATE ROLE JDOE_PROFILE;
CREATE USER JDOE LOGIN NAME = 'JDOE' DEFAULT_ROLE='JDOE_PROFILE';
GRANT ROLE JDOE_PROFILE TO USER JDOE;
GRANT ROLE DEV_TEAM TO ROLE JDOE_PROFILE;
New tables created by any of the developers are not accessible by the team as a whole.
How can an Administrator address this problem?
A. Assign ownership privilege to DEV_TEAM on the newly-created schema.
B. Set up future grants on the newly-created schemas.
C. Set up the new schema as a managed-access schema.
D. Assign usage privilege on the virtual warehouse DEV_WH to the role JDOE_PROFILE.
Answer: B
Explanation:
According to the Snowflake documentation1, future grants are a way to automatically grant privileges on future objects of a specific type that are created in a database or schema. By setting up future grants on the newly-created schemas, the administrator can ensure that any tables created by the developers in those schemas will be accessible by the DEV_TEAM role, without having to grant privileges on each table individually. Option A is incorrect because assigning ownership privilege to DEV_TEAM on the newly-created schema does not grant privileges on the tables in the schema, only on the schema itself. Option B is incorrect because assigning usage privilege on the virtual warehouse DEV_WH to the role JDOE_PROFILE does not affect the access to the tables in the schemas, only the ability to use the warehouse. Option D is incorrect because setting up the new schema as a managed-access schema does not grant privileges on the tables in the schema, but rather requires explicit grants for each table.
NEW QUESTION # 67
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?
A. The EXPLAIN results always include a 10-15% safety factor in order to provide conservative estimates.
B. In-flight data compression will result in fewer micro-partitions being scanned at the virtual warehouse layer than were identified at the storage layer.
C. The GlobalStats partition assignment includes the micro-partitions that will be assigned for preservation of the query results.
D. Runtime optimizations such as join pruning can reduce the number of partitions and bytes scanned during query execution.
Answer: D
Explanation:
Explanation
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.
NEW QUESTION # 68
A Snowflake Administrator is investigating why a query is not re-using the persisted result cache.
The Administrator found the two relevant queries from the SNOWFLAKE. ACCOUNT_USAGE.
QUERY_HISTORY view:
Why is the second query re-scanning micro-partitions instead of using the first query's persisted result cache?
A. The queries are executed with two different virtual warehouses.
B. The second query includes a CURRENT_DATE () function.
C. The second query includes a CURRENT_TIMESTAMP () function.
D. The queries are executed with two different roles.
Answer: A
Explanation:
Explanation
The inclusion of the CURRENT_TIMESTAMP() function in the second query prevents it from re-using the first query's persisted result cache because this function makes each execution unique due to the constantly changing timestamp. According to the Snowflake documentation, "The query does not include non-reusable functions, which return different results for successive runs of the same query. UUID_STRING, RANDOM, and RANDSTR are good examples of non-reusable functions." The CURRENT_TIMESTAMP() function is another example of a non-reusable function, as it returns the current date and time at the start of query execution, which varies for each run. Therefore, the second query is not identical to the first query, and the result cache is not reused. The other options are either incorrect or irrelevant to the question. Option B is incorrect, as the CURRENT_DATE() function is a reusable function, as it returns the same value for all queries executed within the same day. Option C is irrelevant, as the virtual warehouse used to execute the query does not affect the result cache reuse. Option D is also irrelevant, as the role used to execute the query does not affect the result cache reuse, as long as the role has the necessary access privileges for all the tables used in the query.
NEW QUESTION # 69
An Administrator needs to implement an access control mechanism across an organization. The organization users access sensitive customer data that comes from different regions and needs to be accessible for Analysts who work in these regions. Some Analysts need very specific access control depending on their functional roles in the organization. Following Snowflake recommended practice, how should these requirements be met? (Select TWO).
A. Implement views on top of base tables that exclude or mask sensitive data.
B. Include masking rules as part of data ingestion and transformation pipelines.
C. Use zero-copy cloning to replicate the database schema and provide access as needed.
D. Use a third-party tool to share the data.
E. Implement row access policies and Dynamic Data Masking policies.
Answer: A,E
Explanation:
The scenario describes a need for fine-grained access control over sensitive customer data across multiple regions, with functional-role-based access for analysts. Snowflake recommends applying a layered security model that separates raw data from user-facing access and leverages built-in policy features.
Explanation of Correct Answers:
A . Implement views on top of base tables that exclude or mask sensitive data.
Creating secure views allows administrators to abstract sensitive fields or filter out certain rows and columns.
It enables role-based access control by granting specific roles access only to the secure views.
Common practice is to restrict access to base tables and give users access to views that enforce business logic and data access rules.
B . Implement row access policies and Dynamic Data Masking policies.
Row Access Policies control access at the row level, determining what data a user can see based on their role or session context.
Dynamic Data Masking allows you to mask sensitive column data (like PII) dynamically based on the accessing role.
Both are central features of Snowflake's fine-grained access control.
Why the other options are incorrect:
C . Include masking rules as part of data ingestion and transformation pipelines.
This is not a Snowflake-recommended best practice for access control.
It hardcodes data access rules into ETL/ELT logic, which reduces flexibility and central control.
Also, it masks the data permanently at ingestion time, rather than dynamically at query time.
D . Use a third-party tool to share the data.
Snowflake supports native Secure Data Sharing, and using a third-party tool is unnecessary and introduces complexity.
It does not address row/column-level access control within Snowflake itself.
E . Use zero-copy cloning to replicate the database schema and provide access as needed.
Zero-copy cloning is ideal for testing, development, and backup purposes, not for controlling access.
It duplicates metadata but doesn't provide a mechanism for fine-grained, real-time access control.
SnowPro Administrator Reference:
Row Access Policies Overview
Dynamic Data Masking Overview
Access Control Best Practices
Using Secure Views for Access Control
NEW QUESTION # 70
......
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