100% PASS ADA-C01 - SNOWPRO ADVANCED ADMINISTRATOR–VALID TOP QUESTIONS

100% Pass ADA-C01 - SnowPro Advanced Administrator–Valid Top Questions

100% Pass ADA-C01 - SnowPro Advanced Administrator–Valid Top Questions

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Snowflake SnowPro Advanced Administrator Sample Questions (Q58-Q63):

NEW QUESTION # 58
What are characteristics of Dynamic Data Masking? (Select TWO).

  • A. The role that creates the masking policy will always see unmasked data in query results.
  • B. A single masking policy can be applied to columns in different tables.
  • C. A masking policy that is currently set on a table can be dropped.
  • D. A single masking policy can be applied to columns with different data types.
  • E. A masking policy can be applied to the VALUE column of an external table.

Answer: B,D

Explanation:
Explanation
According to the Using Dynamic Data Masking documentation, Dynamic Data Masking is a feature that allows you to alter sections of data in table and view columns at query time using a predefined masking strategy. The following are some of the characteristics of Dynamic Data Masking:
*A single masking policy can be applied to columns in different tables. This means that you can write a policy once and have it apply to thousands of columns across databases and schemas.
*A single masking policy can be applied to columns with different data types. This means that you can use the same masking strategy for columns that store different kinds of data, such as strings, numbers, dates, etc.
*A masking policy that is currently set on a table can be dropped. This means that you can remove the masking policy from the table and restore the original data visibility.
*A masking policy can be applied to the VALUE column of an external table. This means that you can mask data that is stored in an external stage and queried through an external table.
*The role that creates the masking policy will always see unmasked data in query results. This is not true, as the masking policy can also apply to the creator role depending on the execution context conditions defined in the policy. For example, if the policy specifies that only users with a certain custom entitlement can see the unmasked data, then the creator role will also need to have that entitlement to see the unmasked data.


NEW QUESTION # 59
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. Prevent the virtual warehouse from suspending between the running of the first and second queries.
  • B. Use the RESULT_SCAN function to post-process the output of the first query.
  • C. Assign additional clusters to the virtual warehouse.
  • D. Increase the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session.

Answer: B

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 # 60
DatabaseA has a single schema called Schema1. This schema contains many tables and views. The ANALYST role has privileges to select from all objects in DatabaseA. Schema1. The SYSADMIN role clones DatabaseA to DatabaseA_clone.
What privileges does the ANALYST role have on tables and views in DatabaseA_clone? (Select TWO).

  • A. SELECT on all tables, and only secure views in DatabaseA_clone. Schemal
  • B. SELECT on all tables and views in DatabaseA_clone. Schema1
  • C. SELECT on all tables, and only non-secure views in DatabaseA_clone. Schemal
  • D. USAGE on the database DatabaseA_clone. Schemal
  • E. USAGE on the schema DatabaseA clone

Answer: B,C

Explanation:
Explanation
According to the Snowflake documentation, when a database or schema is cloned, the clone inherits all granted privileges on the clones of all child objects contained in the source object, such as tables and views.
However, the clone of the container itself does not inherit the privileges granted on the source container.
Therefore, the ANALYST role will have SELECT privilege on all tables and views in DatabaseA_clone.Schema1, but not USAGE privilege on the database or schema. The type of view (secure or non-secure) does not affect the cloning of privileges.


NEW QUESTION # 61
What role or roles should be used to properly create the object required to setup OAuth 2.0 integration?

  • A. ACCOUNTADMIN and SECURITYADMIN
  • B. ACCOUNTADMIN only
  • C. Any role with GRANT USAGE on SECURITY INTEGRATION
  • D. ACCOUNTADMIN and SYSADMIN

Answer: B

Explanation:
According to the Using OAuth 2.0 with Snowflake - Blog, only the ACCOUNTADMIN role can create and manage integrations, so an administrator must assume that role when creating a security integration for OAuth. The other roles do not have the necessary privileges to create the object required to setup OAuth 2.0 integration.


NEW QUESTION # 62
What roles can be used to create network policies within Snowflake accounts? (Select THREE).

  • A. ORGADMIN
  • B. Any role with the global permission of CREATE NETWORK POLICY
  • C. SECURITYADMIN
  • D. SYSADMIN
  • E. ACCOUNTADMIN
  • F. Any role that owns the database where the network policy is created

Answer: B,C,E

Explanation:
Explanation
Network policies are used to restrict access to the Snowflake service and internal stages based on user IP address1. To create network policies, a role must have the global permission of CREATE NETWORK POLICY2. By default, the system-defined roles of SECURITYADMIN and ACCOUNTADMIN have this permission3. However, any other role can be granted this permission by an administrator4. Therefore, the answer is B, C, and E. The other options are incorrect because SYSADMIN and ORGADMIN do not have the CREATE NETWORK POLICY permission by default3, and network policies are not tied to specific databases5.


NEW QUESTION # 63
......

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