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Real and Updated Snowflake ADA-C01 Exam Questions

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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

Implement and manage data governance in Snowflake
Data Sharing, Data Exchange, and Snowflake Marketplace

Topic 3

Given a scenario, create and manage access control
Given a scenario, implement resource monitors

Topic 4

Snowflake Security, Role-Based Access Control (RBAC), and User Administration
Disaster Recovery, Backup, and Data Replication

Snowflake SnowPro Advanced Administrator Sample Questions (Q54-Q59):

NEW QUESTION # 54
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. Increase the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session.
B. Assign additional clusters to the virtual warehouse.
C. Use the RESULT_SCAN function to post-process the output of the first query.
D. Prevent the virtual warehouse from suspending between the running of the first and secondqueries.

Answer: C

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 # 55
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 roles.
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 virtual warehouses.

Answer: D

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 # 56
When adding secure views to a share in Snowflake, which function is needed to authorize users from another account to access rows in a base table?

A. CURRENT_USER
B. CURRENT ACCOUNT
C. CURRENT_CLIENT
D. CURRENT_ROLE

Answer: A

Explanation:
According to the Working with Secure Views documentation, secure views are designed to limit access to sensitive data that should not be exposed to all users of the underlying table(s). When sharing secure views with another account, the view definition must include a function that returns the identity of the user who is querying the view, such as CURRENT_USER, CURRENT_ROLE, or CURRENT_ACCOUNT. These functions can be used to filter the rows in the base table based on the user's identity. For example, a secure view can use the CURRENT_USER function to compare the user name with a column in the base table that contains the authorized user names. Only the rows that match the user name will be returned by the view. The CURRENT_CLIENT function is not suitable for this purpose, because it returns the IP address of the client that is connected to Snowflake, which is not related to the user's identity.

NEW QUESTION # 57
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 SELECT privilege on table DB1. S1. T1 to role B will be shown as GRANTED_BY the role ACCOUNTADMIN.
B. The table object DB1. S1. T1 will be dropped.
C. The SELECT privileges for roles B and C will remain.
D. The OWNERSHIP privilege on table DB1. S1. T1 will be transferred to the ACCOUNTADMIN role.

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 # 58
A company has implemented Snowflake replication between two Snowflake accounts, both of which are running on a Snowflake Enterprise edition. The replication is for the database APP_DB containing only one schema, APP_SCHEMA.
The company's Time Travel retention policy is currently set for 30 days for both accounts. An Administrator has been asked to extend the Time Travel retention policy to 60 days on the secondary database only.
How can this requirement be met?

A. Set the data retention policy on the schemas in the secondary database to 60 days.
B. Set the data retention policy on the secondary database to 60 days.
C. Set the data retention policy on the primary database to 60 days.
D. Set the data retention policy on the primary database to 30 days and the schemas to 60 days.

Answer: B

Explanation:
According to the Replication considerations documentation, the Time Travel retention period for a secondary database can be different from the primary database. The retention period can be set at the database, schema, or table level using the DATA_RETENTION_TIME_IN_DAYS parameter. Therefore, to extend the Time Travel retention policy to 60 days on the secondary database only, the best option is to set the data retention policy on the secondary database to 60 days using the ALTER DATABASE command. The other options are incorrect because:
* B. Setting the data retention policy on the schemas in the secondary database to 60 days will not affect the database-level retention period, which will remain at 30 days. The most specific setting overrides the more general ones, so the schema-level setting will apply to the tables in the schema, but not to the database itself.
* C. Setting the data retention policy on the primary database to 30 days and the schemas to 60 days will not affect the secondary database, which will have its own retention period. The replication process does not copy the retention period settings from the primary to the secondary database, so they can be configured independently.
* D. Setting the data retention policy on the primary database to 60 days will not affect the secondary database, which will have its own retention period. The replication process does not copy the retention period settings from the primary to the secondary database, so they can be configured independently.

NEW QUESTION # 59
......

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