Reliable ADA-C01 Test Labs - Exam ADA-C01 Overview

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Snowflake ADA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Set up and manage network and private connectivity Given a scenario, manage Snowflake Time Travel and Fail-safe
Topic 2	Given a scenario, create and manage access control Given a scenario, implement resource monitors
Topic 3	Manage and implement data sharing Given a set of business requirements, establish access control architecture
Topic 4	Snowflake Security, Role-Based Access Control (RBAC), and User Administration Disaster Recovery, Backup, and Data Replication
Topic 5	Given a scenario, configure access controls Set up and manage security administration and authorization

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Snowflake SnowPro Advanced Administrator Sample Questions (Q63-Q68):

NEW QUESTION # 63
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. Unpublishing the data listing
C. Renaming a table
D. Adding region availability to the 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 # 64
Which tasks can be performed by the ORGADMIN role? (Select THREE).

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

Answer: A,C,E

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 # 65
An Administrator has a user who needs to be able to suspend and resume a task based on the current virtual warehouse load, but this user should not be able to modify the task or start a new run.
What privileges should be granted to the user to meet these requirements? (Select TWO).

A. OWNERSHIP on the task
B. OPERATE on the task
C. USAGE on the database and schema containing the task
D. OWNERSHIP on the database and schema containing the task
E. EXECUTE TASK on the task

Answer: B,C

Explanation:
Explanation
The user needs the OPERATE privilege on the task to suspend and resume it, and the USAGE privilege on the database and schema containing the task to access it1. The EXECUTE TASK privilege is not required for suspending and resuming a task, only for triggering a new run1. The OWNERSHIP privilege on the task or the database and schema would allow the user to modify or drop the task, which is not desired.

NEW QUESTION # 66
What are characteristics of Dynamic Data Masking? (Select TWO).

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

Answer: A,B

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 # 67
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: C

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 # 68
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