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Snowflake ADA-C01 Exam Syllabus Topics:

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

Snowflake SnowPro Advanced Administrator Sample Questions (Q46-Q51):

NEW QUESTION # 46
Which tasks can be performed by the ORGADMIN role? (Select THREE).

A. Create a reader account to share data with another organization.
B. Create one or more accounts in the organization.
C. Create secure views on application tables within the organization.
D. Perform zero-copy cloning on account data.
E. View a list of all regions enabled for the organization.
F. View usage information for all accounts in the organization.

Answer: B,E,F

Explanation:
A user with the ORGADMIN role can perform the following tasks1:
* Create one or more accounts in the organization.
* View a list of all regions enabled for the organization.
* View usage information for all accounts in the organization.
Option C is incorrect because creating secure views on application tables is not a function of the ORGADMIN role, but rather a function of the roles that have access to the tables and schemas within the accounts. Option E is incorrect because performing zero-copy cloning on account data is not a function of the ORGADMIN role, but rather a function of the roles that have the CLONE privilege on the objects within the accounts. Option F is incorrect because creating a reader account to share data with another organization is not a function of the ORGADMIN role, but rather a function of the roles that have the CREATE SHARE privilege on the objects within the accounts.

NEW QUESTION # 47
Which actions are considered breaking changes to data that is shared with consumers in the Snowflake Marketplace? (Select TWO).

A. Dropping a column from a table
B. Adding region availability to the listing
C. Renaming a table
D. Unpublishing the data listing
E. Deleting data from a table

Answer: A,C

Explanation:
Explanation
According to the Snowflake documentation1, breaking changes are changes that affect the schema or structure of the shared data, such as dropping or renaming a column or a table. These changes may cause errors or unexpected results for the consumers who query the shared data. Deleting data from a table, unpublishing the data listing, or adding region availability to the listing are not breaking changes, as they do not alter the schema or structure of the shared data.
1: Managing Data Listings in Snowflake Data Marketplace | Snowflake Documentation

NEW QUESTION # 48
A Snowflake Administrator has a multi-cluster virtual warehouse and is using the Snowflake Business Critical edition. The minimum number of clusters is set to 2 and the maximum number of clusters is set to 10. This configuration works well for the standard workload, rarely exceeding 5 running clusters. However, once a month the Administrator notes that there are a few complex long-running queries that are causing increased queue time and the warehouse reaches its maximum limit at 10 clusters.
Which solutions will address the issues happening once a month? (Select TWO).

A. Examine the complex queries and determine if they can be made more efficient using clustering keys or materialized views.
B. Use a task to increase the cluster size for the time period that the more complex queries are running and another task to reduce the size of the cluster once the complex queries complete.
C. Have the group running the complex monthly queries use a separate appropriately-sized warehouse to support their workload.
D. Increase the minimum number of clusters started in the multi-cluster configuration to 5.
E. Increase the multi-cluster maximum to 20 or more clusters.

Answer: B,C

Explanation:
According to the Snowflake documentation1, a multi-cluster warehouse is a virtual warehouse that consists of multiple clusters of compute resources that can scale up or down automatically to handle the concurrency and performance needs of the queries submitted to the warehouse. A multi-cluster warehouse has a minimum and maximum number of clusters that can be specified by the administrator. Option A is a possible solution to address the issues happening once a month, as it allows the administrator to use a task to increase the cluster size for the time period that the more complex queries are running and another task to reduce the size of the cluster once the complex queries complete. This way, the warehouse can have more resources available to handle the complex queries without reaching the maximum limit of 10 clusters, and then return to the normal cluster size to save costs. Option B is another possible solution to address the issues happening once a month, as it allows the administrator to have the group running the complex monthly queries use a separate appropriately-sized warehouse to support their workload. This way, the warehouse can isolate the complex queries from the standard workload and avoid queue time and resource contention. Option C is not a recommended solution to address the issues happening once a month, as it would increase the costs and complexity of managing the multi-cluster warehouse, and may not solve the underlying problem of inefficient queries. Option D is a good practice to improve the performance of the queries, but it is not a direct solution to address the issues happening once a month, as it requires analyzing and optimizing the complex queries using clustering keys or materialized views, which may not be feasible or effective in all cases. Option E is not a recommended solution to address the issues happening once a month, as it would increase the costs and waste resources by starting more clusters than needed for the standard workload.

NEW QUESTION # 49
When a role is dropped, which role inherits ownership of objects owned by the dropped role?

A. The role executing the command
B. The SECURITYADMIN role
C. The role above the dropped role in the RBAC hierarchy
D. The SYSADMIN role

Answer: C

Explanation:
Explanation
According to the Snowflake documentation1, when a role is dropped, ownership of all objects owned by the dropped role is transferred to the role that is directly above the dropped role in the role hierarchy. This is to ensure that there is always a single owner for each object in the system.
1: Drop Role | Snowflake Documentation

NEW QUESTION # 50
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. Assign additional clusters to the virtual warehouse.
B. Prevent the virtual warehouse from suspending between the running of the first and second queries.
C. Use the RESULT_SCAN function to post-process the output of the first query.
D. Increase the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session.

Answer: C

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 # 51
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TRY BEFORE YOU BUY FREE SNOWFLAKE ADA-C01 EXAM QUESTIONS DEMOS

Try Before You Buy Free Snowflake ADA-C01 Exam Questions Demos