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Snowflake ADA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Given a scenario, manage databases, tables, and views Manage organizations and access control
Topic 2	Interpret and make recommendations for data clustering Manage DML locking and concurrency in Snowflake
Topic 3	Snowflake Security, Role-Based Access Control (RBAC), and User Administration Disaster Recovery, Backup, and Data Replication
Topic 4	Given a scenario, create and manage access control Given a scenario, implement resource monitors
Topic 5	Implement and manage data governance in Snowflake Data Sharing, Data Exchange, and Snowflake Marketplace
Topic 6	Manage and implement data sharing Given a set of business requirements, establish access control architecture
Topic 7	Given a scenario, configure access controls Set up and manage security administration and authorization

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Snowflake SnowPro Advanced Administrator Sample Questions (Q69-Q74):

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. Include masking rules as part of data ingestion and transformation pipelines.
B. Use zero-copy cloning to replicate the database schema and provide access as needed.
C. Implement views on top of base tables that exclude or mask sensitive data.
D. Implement row access policies and Dynamic Data Masking policies.
E. Use a third-party tool to share the data.

Answer: C,D

NEW QUESTION # 70
A data provider wants to share data from multiple databases with a data consumer account.
How can this be accomplished?

A. The data provider needs to create a secure view and grant the USAGE privilege on each database referenced by the secure view.
B. The data provider needs to create a secure view and must grant the REFERENCE_USAGE privilege on the database where the secure view is created.
C. The data provider needs to create a secure view and grant the REFERENCE_USAGE privilege on each database referenced by the secure view.
D. The data provider needs to create a secure view and grant the REFERENCE_USAGE privilege to a database role to include objects from multiple databases in a share

Answer: C

Explanation:
Option B is the correct answer because it follows the steps described in the Snowflake documentation for sharing data from multiple databases using secure views. The data provider needs to grant the REFERENCE_USAGE privilege on each database that contains objects referenced by the secure view, and the USAGE privilege only on the database where the secure view is created. Option A is incorrect because it grants the USAGE privilege instead of the REFERENCE_USAGE privilege. Option C is incorrect because it grants the REFERENCE_USAGE privilege to a database role, which is not supported. Option D is incorrect because it grants the REFERENCE_USAGE privilege on the wrong database.

NEW QUESTION # 71
A Snowflake Administrator needs to retrieve the list of the schemas deleted within the last two days from the DB1 database.
Which of the following will achieve this?

A. SELECT * FROM DB1.INFORMATION_SCHEMA.SCHEMATA;
B. SELECT * FROM SNOWFLAKE.ACCOUNT_USAGE.SCHEMATA;
C. SHOW SCHEMAS IN DATABASE DB1;
D. SELECT * FROM SNOWFLAKE.ACCOUNT_USAGE.DATABASES;

Answer: B

Explanation:
To retrieve a list of schemas deleted within the last 2 days from the DB1 database, you need a metadata view that includes historical data, including dropped (deleted) objects.
Let's review the options:
✅ B. SNOWFLAKE.ACCOUNT_USAGE.SCHEMATA
This is the correct choice because:
It includes metadata for all schemas, even deleted ones, within the retention period.
It contains a DELETED column and a DELETED_ON timestamp column.
You can filter rows with:
sql
CopyEdit
SELECT *
FROM SNOWFLAKE.ACCOUNT_USAGE.SCHEMATA
WHERE DELETED IS TRUE
AND DELETED_ON >= DATEADD(DAY, -2, CURRENT_TIMESTAMP())
AND CATALOG_NAME = 'DB1';
❌ A. SHOW SCHEMAS IN DATABASE DB1;
Only shows current (active) schemas - does not include deleted schemas.
❌ C. DB1.INFORMATION_SCHEMA.SCHEMATA
Like option A, this view only includes active schemas in the current database.
No info on deleted schemas is retained.
❌ D. SNOWFLAKE.ACCOUNT_USAGE.DATABASES
This metadata view tracks databases, not individual schemas.
SnowPro Administrator Reference:
SNOWFLAKE.ACCOUNT_USAGE.SCHEMATA documentation
Metadata includes both active and deleted schemas (within retention window).

NEW QUESTION # 72
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 GlobalStats partition assignment includes the micro-partitions that will be assigned for preservation of the query results.
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 EXPLAIN results always include a 10-15% safety factor in order to provide conservative estimates.
D. Runtime optimizations such as join pruning can reduce the number of partitions and bytes scanned during query execution.

Answer: D

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 # 73
A Snowflake user runs a complex SQL query on a dedicated virtual warehouse that reads a large amount of data from micro-partitions. The same user wants to run another query that uses the same data set.
Which action would provide optimal performance for the second SQL query?

A. Use the RESULT_SCAN function to post-process the output of the first query.
B. Increase the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session.
C. Prevent the virtual warehouse from suspending between the running of the first and secondqueries.
D. Assign additional clusters to the virtual warehouse.

Answer: A

Explanation:
Explanation
According to the Using Persisted Query Results documentation, the RESULT_SCAN function allows you to query the result set of a previous command as if it were a table. This can improve the performance of the second query by avoiding reading the same data from micro-partitions again. The other actions do not provide optimal performance for the second query because:
*Assigning additional clusters to the virtual warehouse does not affect the data access speed, but only the query execution speed. It also increases the cost of the warehouse.
*Increasing the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session does not improve the performance of the query, but only allows it to run longer before timing out. It also increases the risk of resource contention and deadlock.
*Preventing the virtual warehouse from suspending between the running of the first and second queries does not guarantee that the data will be cached in memory, as Snowflake uses a least recently used (LRU) cache eviction policy. It also increases the cost of the warehouse.
https://docs.snowflake.com/en/user-guide/querying-persisted-results

NEW QUESTION # 74
......

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COVERS 100% OF ALL OBJECTIVES FOR THE LATEST ADA-C01 COMPOSITE EXAMS.

Covers 100% of All Objectives for the Latest ADA-C01 Composite Exams.